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05/12/2022 09:57:09 - Teaming.AI -@AiTeaming
Human-AI Teaming Platform for Maintaining and Evolving AI Systems in Manufacturing TEAMING.AI
🎞 One more video of Teaming AI Project, explaining the Representation of Knowledge for Human-AI teaming in manufacturing, presented by @wu_vienna (Vienna University of Economics and Business) 👉 [URL]. #h2020 #ai #digitaltransformation #industry40
05/12/2022 08:01:07 - I4MS -@I4MS_Europe
Europe
I4MS Going to Market Alliance I4MS-Go I4MS Tools and Technologies for Transformation I4MS4Ts
💻 What are the challenges of the #futureofwork? 📈 This question was discussed at the @skillmanfound International Forum 2022. The event gathered the biggest EU network in #skills, & we presented our Catalogue of Trainings. 👉 Discover more here: [URL] #SIF22 [Go to tweet]

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04/12/2022 21:54:18 - OPTIMAI Project -@OPTIMAI_Project
Optimizing Manufacturing Processes through Artificial Intelligence and Virtualization OPTIMAI
RT @I4qProject: And when sister projects are working together, you are able to discuss in a constructive manner many different and challeng…
04/12/2022 16:36:45 - i4Q Project -@I4qProject
Europe
Industrial Data Services for Quality Control in Smart Manufacturing i4Q
@EU_ZDMP @I4qProject @interq_project @DAT4Zero #4ZDM Cluster
04/12/2022 16:36:44 - i4Q Project -@I4qProject
Europe
Industrial Data Services for Quality Control in Smart Manufacturing i4Q
And when sister projects are working together, you are able to discuss in a constructive manner many different and challenging topics as it was done for Data Governance in our september webinar! 4th day of our #4ZDM calendar, you may watch the replay at: [URL]
04/12/2022 16:02:26 - DIH4CPS -@DIH4CPS
Fostering DIHs for Embedding Interoperability in Cyber-Physical Systems of European SMEs DIH4CPS
Day 4 of our calendar: the Application experiments developed in the frame of the @DIH4CPS project. The 23 AEs participate to reduce the digital divide from sectors and regions. Perfect collaborations between SMEs, DIHs and Tech providers! Find more at: [URL] [Go to tweet]

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03/12/2022 22:07:00 - OPTIMAI Project -@OPTIMAI_Project
Optimizing Manufacturing Processes through Artificial Intelligence and Virtualization OPTIMAI
RT @I4qProject: 5 sister projects that want to offer new solutions to the challenges in manufacturing, it will pave the way to further deve…
03/12/2022 20:17:43 - i4Q Project -@I4qProject
Europe
Industrial Data Services for Quality Control in Smart Manufacturing i4Q
5 sister projects that want to offer new solutions to the challenges in manufacturing, it will pave the way to further developments for SMEs and other companies. 3rd day of our end-of-the-year calendar, take a quick look at who is doing what in this infographics! #projects #4ZDM [Go to tweet]

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03/12/2022 15:16:59 - DIH4CPS -@DIH4CPS
Fostering DIHs for Embedding Interoperability in Cyber-Physical Systems of European SMEs DIH4CPS
Day 3 of our end-of-the-year calendar : the DIH4CPS Network! Our DIH network consists of 13 initial DIHs, 12 additional DIHs after the first Open Call and 7 new DIHs after the second Open Call from all regions of Europe. Find more information at : [URL] #network [Go to tweet]

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02/12/2022 18:02:10 - DIH4CPS -@DIH4CPS
Fostering DIHs for Embedding Interoperability in Cyber-Physical Systems of European SMEs DIH4CPS
Day 2 of our DIH4CPS end-of-the-year calendar, we present our consortium that manages to get impressive results during these last 3 years! Our 31 partners managed 2 open calls, developed 23 application experiments, launched a market-place and built a network of 33 DIHs! [Go to tweet]

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02/12/2022 17:17:28 - iQonic -@iQonic_project
Innovative strategies, sensing and process Chains for increased Quality, re-configurability, and recyclability of Manufacturing Optolectronics IQONIC
The results of our partner @shadowrobot 🔎 The focus was on the automation of a specific stage of the production line in one of the project use case: crystal chamfering. To know more visit our website ⬇️ [URL] #crystal #manufacturing #automation #results [Go to tweet]

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02/12/2022 17:15:26 - iQonic -@iQonic_project
Innovative strategies, sensing and process Chains for increased Quality, re-configurability, and recyclability of Manufacturing Optolectronics IQONIC
Have a loook at our partner @SacmiImola result 🔎 They develop an electronic olfactory system to evaluate contamination through the detection of unwanted organic molecules in the air in the optoelectronic assemblies. To know more, visit our website ⬇️ [URL] [Go to tweet]

pic.twitter.com/dAkiRSWCAW
02/12/2022 17:11:44 - iQonic -@iQonic_project
Innovative strategies, sensing and process Chains for increased Quality, re-configurability, and recyclability of Manufacturing Optolectronics IQONIC
Today we present our partner @CORE_inno result 🔎 They developed/deployed a new framework for defect detection and quality prediction of the final assembled product. To know more visit our website ⬇️ [URL] #innovation #project #quality #defectdetection [Go to tweet]

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02/12/2022 16:01:13 - i4Q Project -@I4qProject
Europe
Industrial Data Services for Quality Control in Smart Manufacturing i4Q
We continue with our sister project @OPTIMAI_Project our #4ZDM end-of-the-year calendar with a video presenting the projects. Follow us to learn more about #zerodefectmanufacturing and our cluster! [URL]
02/12/2022 16:00:03 - OPTIMAI Project -@OPTIMAI_Project
Optimizing Manufacturing Processes through Artificial Intelligence and Virtualization OPTIMAI
▶️ Did you know that OPTIMAI has a #YouTube channel? Some of our videos include: 👥 Insights into our seasonal newsletters; 🎙️ Interviews with consortium partners; and 🤖 Demos of OPTIMAI solutions at pilot site locations. See our latest videos here ⤵️
02/12/2022 15:38:28 - DENiM project -@DENiM_fof
Digital intelligence for collaborative ENergy management in Manufacturing DENiM
[URL]
02/12/2022 15:08:36 - OPTIMAI Project -@OPTIMAI_Project
Optimizing Manufacturing Processes through Artificial Intelligence and Virtualization OPTIMAI
#4ZDM End of the Year Calendar: 2 December What is the #4ZDM cluster? Get to know the projects in the #ZeroDefectManufacturing community: [URL] @I4qProject @interq_project @DAT4Zero @PenelopeEU1 @EU_ZDMP Looking forward to welcoming new projects!
02/12/2022 15:01:38 - OPTIMAI Project -@OPTIMAI_Project
Optimizing Manufacturing Processes through Artificial Intelligence and Virtualization OPTIMAI
RT @ENGINEProjectEU: Want to learn more about the skills requirements and specifications of the ENGINE Project? 🔗Check ENGINE Project's web…
02/12/2022 13:44:20 - project-tinker -@project_tinker
FABRICATION OF SENSOR PACKAGES ENABLED BY ADDITIVE MANUFACTURING TINKER
@project_tinker was featured in Driving Vision News newsletter! 📣 More information & access to the newsletter can be found here ➡️ [URL] 🌐 Follow the #project webpage for more news: [URL] #automotive #lidar #research #europeanresearch [Go to tweet]

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02/12/2022 13:22:19 - ZDMP -@EU_ZDMP
Zero Defect Manufacturing Platform ZDMP
To address consistency problems in robotic #AdditiveManufacturing, one of the #ZDMP sub-projects proposes a solution relying on the creation of the #DigitalTwin of the printed part to detect any deviations. More info at: [URL] Author: Jelle van Kleef, #MX3D [Go to tweet]

pic.twitter.com/UvPjCQZbYJ
02/12/2022 12:27:27 - DigiPrime -@DigiPrime2
Digital Platform for Circular Economy in Cross-sectorial Sustainable Value Networks DigiPrime
✔️The DigiPrime Open Call B is now open! 👉It aims o develop new pilots to expand the DigiPrime platform to additional sectors and explore new application contexts. More details [URL] 📂Apply now! #circulareconomy #H2020 #automotiveindustry #DataSharing
02/12/2022 12:00:25 - VOJEXT Project -@vojext
Value Of Joint EXperimentation in digital Technologies for manufacturing and construction VOJEXT
#VOJEXT’s 2nd #OpenCall launched! Up to €80K of #funding per project for innovative #SMEs capable of solving 1 of 6 #tech challenges in cognitive #robotics. Challenge 6 - Machine learning-based material characterization. Learn more & apply until 7 Dec at [URL] [Go to tweet]

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News
Success driven by standardisation - register to this free webinar on 20 July

A crucial factor in innovation and collaborative work is an agreement on understandable and implementable standards.

On 20 July, you will learn about this in an exciting, free webinar organised by the European initiative ForeSEE and UNI. The main objective of the cluster is to create a roadmap for predictive maintenance, which may serve as a guideline for companies that want to adapt and adopt predictive maintenance solutions in the future.

Register now! Register here!

As part of the cluster, our H2020 project RECLAIM intends to demonstrate strategies and technologies that enable the re-use of industrial equipment in old, renewed and new factories alike. Learn more in our website and get in touch with us! RECLAIM - Refurbishment and re-manufacturing of large industrial equipment

Read more
COALA Newsletter #3 - Intelligent Cognitive Assistance for Liquid Production Line

Welcome to the 3rd edition of the COALA Newsletter. A key milestone has been reached with the release of the second prototype of the COALA main components. These trustworthy AI components with a voice-enabled Digital Intelligent Assistant as an interface have been integrated and will be evaluated within the coming months in the three business cases. This achievement was recently presented at the project‘s mid-term review, which took place  successfully in the beginning of May 2022.

This newsletter edition will highlight the implementation of one of COALA's AI components, Cognitive Advisor Service, within the DIVERSEY business case in order to support line operators and managers towards optimum configuration of the production line.

COALA partners have been active also in dissemination and community management activities. COALA has organised its first webinar on 20th of May 2022, where we introduced some benefits of application of Digital Intelligent Assistants in the quality testing of white good use case and showed a demo on the current prototype of the Augmented Manufacturing Analytics feature. A recording of the webinar is available here.

In the community and event sections of this newsletter, you will find some of the past and upcoming event highlights. We hope that you will find our newsletter interesting and useful. If you have suggestions for future topics this newsletter should cover, do not hesitate to contact us.

Enjoy reading our newsletter!

 

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EVENT 07/07/2022 - COLLABORATIVE ROBOTICS’ INDUSTRIAL IMPLEMENTATION: TOWARDS MORE FLEXIBLE AND INTEGRATED WORKPLACES

REGISTER: https://cutt.ly/ShareworkHRCImplementation

10.00 – 12.15h CEST

Human-Robot Collaboration is a key factor in the field of industrial robotics for the development of the factories of the future and advance towards the Industry 4.0 paradigm.

In this last training session of the Sharework project we will introduce some basic concepts of the implementation of Human-Robot Collaborative systems and the advantages of its wide deployment into the industry. In addition, four use cases implemented in four companies in the transport, capital goods and metal sector will be presented, highlighting the potential of collaborative robotics in operators’ ergonomics and wellbeing, as well as the benefits from the production side.

Read more
EVENT 20/06/2022 - ROBOT AND HUMAN MOTION PLANNING IN COLLABORATIVE ROBOTICS

REGISTER: https://cutt.ly/ShareworkMotionPlanning 

20/06/2022

14.00 - 16:00 PM

Robot and human path planning is essential for the implementation of accurate, safe and effective Human-Robot Collaboration (HRC) systems, making sure to avoid incidents in the workplace, as well as increase productivity and work quality thanks to the collaboration between workers and robots.

In this training session on motion planning in Human-Robot Collaboration of the Sharework project, we will review state-of-the-art approaches for robot planning and scheduling, and present advances in the field with great potential to contribute to a widespread uptake of high-payload collaborative industrial robots in assembly shopfloors. As part of the training activity, a hierarchical motion planning framework to plan and execute human-aware movements and research on human motion prediction applicable into robot motion planning will be presented.

Read more
EVENT 05/05 - HUMAN FACTORS IN HUMAN-ROBOT COLLABORATION

REGISTRATION - https://www.tfaforms.com/4975826

AGENDA AND MORE INFORMATION - https://sharework-project.eu/events/sharework-training-activity-2-human-factors/

In recent years, manufacturing aimed at increasing flexibility while maintaining productivity for satisfying emerging market needs for higher product customization. Human Robot Collaboration (HRC) is a promising way of achieving this balance by combining the improvisation and dexterity of humans with robots’ tireless precision and repeatability.

However, collaborative robotics developments have focused primarily on the technology and, until recently, little research has been geared to understand the key human factors that need to be considered to enable successful implementation of industrial HRC.

This training session, the second of a series of training workshops organized by the Sharework project, will be focused on Human Factor approaches in collaborative robotics from several perspectives. Contents of this session respond to how to develop a more human-centered design for the factory of the future, including ergonomic and posture assessmentsmethodologies to ensure adaptability and acceptance of collaborative robotics solutions in the workplace, the use of Augmented Reality for operator training and technology for a seamless interaction between humans and cobots.

 

Read more
CoLLaboratE project has been completed!

It was an incredible journey of 42 months with a lot of challenges. Fortunately, we managed to get through and we are proud to integrate our novel technologies in four use-cases that range from the electric apliance-, to the automotive-, and the aerospace- industries. 

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Training activity - MANUFACTURING ENVIRONMENT PERCEPTION FOR AN EFFECTIVE HUMAN-ROBOT COLLABORATION

06/04/2022 - ONLINE - 14.00 - 16.45PM

Registration: https://www.tfaforms.com/4969763 

More information: https://sharework-project.eu/manufacturing-and-environment-perception-for-an-effective-human-robot-collaboration/

Autonomous and hybrid plants require a high level of automation and understanding of the processes within where collaborative robots have a high potential. The development of collaborative robotics as a research area is based on the study of computer vision, machine learning and artificial intelligence to provide robots with high vision skills and knowledge to interact safely and effectively in the workplace and assist humans in arduous or repetitive tasks.

In this training session, the first of a series of training workshops, several perception techniques to increase collaborative robots’ knowledge and skills to perceive, comprehend and reason about the surrounding environment will be presented. The concepts presented will include several technologies and methodologies to enhance the robot ability for the detection of the objects and humans in the environment, identify humans’ posture and activities and understand the human behavior or model desired motions for our robots.

During the session, showcasing basic concepts on methods to enrich collaborative robotics recognition and perception capabilities, Sharework researchers aim to contribute to training the next generation of Human-Robot Collaboration investigators and disseminating project advancements to the scientific and education community. The session content comprises basic concepts and techniques used to perform an environmental analysis and provide robots with the necessary intelligence to recognise their surroundings and act accordingly. The concepts presented are going to be exemplified with comprehensive case studies developed under the framework of the Sharework project.

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The Rossini project: platform’s integrations in use cases - OPEN WEBINAR

The final Open Webinar of the ROSSINI project will focus on the results achieved by the implementation of innovative solutions within the Collaborative Robotics field, in the 3 industrial Use Cases (IMA, WHIRLPOOL, SCHINDLER).

The webinar will be online, on March 23rd at 3 pm.

Please click on the link below and register!

https://www.crit-research.it/it/eventi/rossini-platform-integration-in-use-cases/

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EU project makes headway in zero-defect manufacturing
  • EU funded project introduces new Artificial Intelligence (AI) methods for improved quality in manufacturing
  • The OPTIMAI project presents intelligent approach to zero-defect manufacturing through its breakthrough AI powered toolkit
  • 16 partner organisations from 8 countries across Europe join forces to optimise production processes through a mix of AI, augmented reality, virtualisation and smart sensors

20th January 2022

Manufacturing industries are constantly looking for new ways to improve quality control for both manufactured products and manufacturing processes. The OPTIMAI project is spearheading innovation in this area. Introducing new technologies designed to reduce scrap, eliminate defects, maximise productivity and improve quality of shop floor processes, the project is set to make a tangible impact on European industry and environmental sustainability.

“We are effectively looking to create a new industry ecosystem. We are optimising production processes through a unique mix of Smart Instrumentation, Metrology, Artificial Intelligence, Virtualisation and Augmented Reality”, says OPTIMAI Project Coordinator, Dr. Nikolaos Dimitriou from the Centre for Research and Technology Hellas (CERTH-ITI).

The three-year project, funded by the European Commission’s Horizon 2020 research and innovation programme, is shaping the factories of the future thanks to its unique set of smart technology designed for the manufacturing arena.  OPTIMAI was launched in January 2021 and has just entered its second year.

The manufacturing industry has spent the last few decades in a continuous state of technological revolution with the progressive introduction of ICT, robotics, and automation technologies and most recently the introduction of digitalisation technologies on the shop floor. OPTIMAI is now revolutionising current industry practices further by bringing together and advancing several enabling technologies that strengthen the collaboration between humans and machines.

Dr. Dimitriou and his team have designed the OPTIMAI toolkit, which will initially be tested and validated in factories focusing on the manufacturing of lifts and antennas and on the assembly of microelectronics in Greece, Spain and the UK respectively. The highly adaptable solutions will then be applied in a wide range of industrial settings and brought to market across Europe.

“We aim to strike an optimal balance between fast, cheap and reliable production choices that have a significant impact on industrial competitiveness.”, Dr. Dimitriou explains. 

Core parts of the toolkit developed by contributing organisations include a decision support system that detects and issues early notifications of defects, a continuous production, monitoring and quality inspection system powered by smart sensors, an intelligent marketplace for recycling of scrap, digital twins for simulation and forecasting of industrial processes, and, of course, a comprehensive ethics and regulatory framework surrounding the technologies.

Feeding into the current transformative phase in the Industrial Revolution known as Industry 4.0., the project’s innovations go beyond the state of the art and pave the way for a smarter, digitalised European manufacturing domain.

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Survey for machine / equipment / tools manufacturers & service providers: Impact of Remanufacturing/Refurbishment in the Sector

Help us understand if and how you perform remanufacturing/refurbishment!

RECLAIM – RE-manufaCturing and Refurbishment LArge Industrial equipment (EU H2020) – is conducting a survey with machine / equipment / tools manufacturers and service providers to analyse the elements of greatest relevance in remanufacturing/refurbishment strategies for companies of the electromechanical sector.

Take a few minutes to fill in our questionnaire here.

The collected data will be aggregated and used for a public report on how to support RECLAIM strategies for refurbishment and remanufacturing that enable the reuse of industrial equipment in old, renewed and new factories alike, addressing also themes such as valuable materials and the interaction with services and after sales functions.

Should you have any questions, or wish a digital copy of the public report once available, do not hesitate to contact Lucrezia Quarato, Project Manager at RECLAIM project partner SCM group.

Thanks a lot in advance for your support!

Remanufacturing or second-life production implies using parts of discarded products in a new product with the same function. Remanufactured products guarantee the same quality like original products, as they are brought at least to original equipment manufacturer performance specification.

Refurbishment means restoring an old product and bringing it up to date, in order to maintain reliability or extend service life. In general, refurbished products are upgraded and brought back to specified quality standards or satisfactory working and/or cosmetic conditions and have to fulfil extensive testing. Occasionally, refurbishment is combined with technology upgrading by replacing outdated modules and parts with technologically superior ones.

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COALA Newsletter #2 - Solution and AI-assisted on-the-job training for textile workers

Dear Reader,

After 15 months, COALA is close to reaching its third milestone. It will have a second prototype and its components will be ready for integration into the three industrial business cases. This issue will present COALA's solution and its underlying components, as well as the introduction of the textile business case. This case focusses on training and development of textile worker's AI competencies.

COALA partners have been active also in dissemination and community management activities. The next event co-organised by COALA is the 4th International Workshop on Key Enabling Technologies for Digital Factories (Ket4DF) in conjunction with CAiSE 2022, which will be held on 6 – 10 June 2022 in Leuven, Belgium. More detailed information on the paper submission date is available on the Ket4DF 2022 website. In the community and event sections of this newsletter, you will find some of the past and upcoming event highlights.

 

We hope that you will find our newsletter interesting and useful. If you have suggestions for future topics this newsletter should cover, do not hesitate to contact us.

Enjoy reading our newsletter!

Read more
Open Call Announcement: Application Phase starts on February, 28th 10:00h (CET Time)

DIGITbrain - Second Open Call for Application Experiments 

H2020 DIGITbrain project, funded by EC under the Grant Agreement number 952071, includes Financial Support to Third Parties (FSTP) under two Open Calls. DIGITbrain has the ambition to transform the CloudiFacturing Solution and ecosystem (developed in the H2020 CloudiFacturing Project) towards the requirements of Manufacturing as a Service (MaaS), utilising the Digital Brain and its underlying technology components as the main innovation of the project.   

This Open Call is focused on attracting Third Parties (especially manufacturing and ISV SMEs and mid-caps) to perform experiments to validate the DIGITbrain solution and to make SMEs more competitive by transferring innovative solutions into the wider manufacturing community.  Experiments will be implemented in close collaboration with Digital Innovation Hubs and technical partners of Competence Centers. This interaction should start during proposal preparation, with DIHs and technical partners of competence centers acting as business and technical supporters for applicants. This collaboration will then continue during the experiments’ deployment and execution.

 

Key Call Details

Project full name: Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

Project acronym: DIGITbrain 

Call identifier: DIGITbrain – OC2

Project grant agreement number: 952071

Call opening:  28th February 2022, 10:00h (CET Time)

Submission Deadline:  31st May 2022, 17:00h (CEST Time)

Expected duration of participation in experiments: 12 months 

Total EC funding available for Third Parties in DIGITbrain-OC2: up to 684.600 EUR financial support for Third Parties is available to support 7 experiments. DIGITbrain considers that proposals requesting a contribution up to 97,800 EUR per experiment would allow the specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

Maximum amount of financial support for each Third Party: 60,000 EUR

Language in which proposal should be submitted: English 

Weblink for further information (full call text/proposal guidelines/call results) on the official project website: https://digitbrain.eu

Email address for further information: opencall@digitbrain.eu

 

Expectations for Experiments

Grounding on the Digital Twin concept, experiments will be focused on enabling the customization of Industrial Products (intended as systems operated by manufacturing companies to support the production of the final consumer products) and facilitating cost-effective distributed and localised production for manufacturing SMEs or mid-caps, by leveraging edge, cloud and HPC-based modelling, simulation, optimisation, analysis, and machine learning tools. Experiments can cover any segments in the manufacturing sector at large, including (but not limited to) discrete manufacturing, continuous production, or construction.

Experiments should aim at covering the development and uptake of digital technologies especially in segments where these are underexploited. 

An experiment consortium has to meet the following requirements:

  1. The minimum number of partners in an experiment consortium must include:
    • One End User (mainly SMEs); and
    • One Technical partner acting as Independent Software Vendor (ISV), engineering or software consultant.
  2. All Third Parties must come from European Member States, Associated Countries or the United Kingdom [1].
  3. According to the EC rules, no Third Party is allowed to have received more than 100,000 EUR from Horizon 2020 I4MS and SAE Open Calls [2].
 

[2] DIGITbrain will receive assistance from the European Commission to cross-check if an organization that has been shortlisted for funding under the current DIGITbrain’s OC2 has already received FSTP via an Open Call under any other H2020 I4MS/ SAE Project and to ensure that the right funding is allocated to a Third Party in case it exceeds the above threshold (including any DIGITbrain potential funding).

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IEEE Access and INTEGRADDE invites manuscript submissions in the area of Metal Additive Manufacturing!

Submission Deadline:  30 November 2021

IEEE Access invites manuscript submissions in the area of Metal Additive Manufacturing.   

Additive manufacturing (AM) is a main driver of the Industry 4.0 paradigm. While the additive manufacturing of plastics is common, metal additive manufacturing processes still face several research challenges. The high cost and unpredictable defects in final parts and products are preventing complete deployment and adoption of additive manufacturing in the metalworking industries. Several aspects need improvement, including robustness, stability, repeatability, speed and right-first-time manufacturing. Nevertheless, its potential to the production of structural parts is significant, from the medical to the aeronautics industry.

This Special Section in IEEE Access will bring together academia and industry to discuss technical challenges and recent results related to additive manufacturing. Theoretical, numerical and experimental development in this domain are welcome. The articles are expected to report original findings or innovative concepts featuring different topics related to metal additive manufacturing. Industry-related studies are welcome, especially the ones demonstrating advanced applications of metal additive manufacturing in challenging scenarios.

The topics of interest include, but are not limited to:

  • Data interoperability
  • Data analytics
  • Digitalization and data security
  • Topologic optimization
  • Additive manufacturing building strategy
  • Multi-physics process simulation and modeling
  • Product engineering optimization
  • Testing and characterization
  • Zero defect manufacturing and process control
  • Quality assurance
  • From CAD design to real part production
  • Advanced industry applications

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility and downloads of articles.

Associate Editor:  Pedro Neto, University of Coimbra, Portugal

Guest Editors:

  1. Mustafa Megahed, ESI Group, Germany
  2. Matthew Gilbert, The University of Sheffield, UK
  3. Kaixiang Peng, University of Science and Technology Beijing, China
  4. Felix Vidal, AIMEN Technology Centre, Spain
  5. Leroy Gardner, Imperial College London, UK
  6. Xuemin Chen, Texas Southern University, USA
  7. Stasha Lauria, Brunel University London, UK

 Relevant IEEE Access Special Sections:

  1. Advanced Artificial Intelligence Technologies for Smart Manufacturing
  2. Key Technologies for Smart Factory of Industry 4.0
  3. Advances in Machine Learning and Cognitive Computing for Industry Applications

IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

Article submission: Contact Associate Editor and submit manuscript to:
http://mc.manuscriptcentral.com/ieee-access

 For inquiries regarding this Special Section, please contact: pedro.neto@dem.uc.pt.

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Additive Manufacturing Design Contest for Young Engineers 2021 - Apply now!

During the annual conference Meeting Materials, organized by M2i, the Grade2XL project will organize an open Additive Manufacturing Design Contest for young engineers as part of the Grade2XL project.

THE CHALLENGE
 
Grade2XL challenges all young engineers and researchers to design a novel product, to be printed with wire arc additive manufacturing. This year both teams (max. 5 persons) and individuals are invited to join! You have until 19 November 2021 to submit your design together with the application form found below.

GOT WHAT IT TAKES?

  • Are you enrolled in a Bachelor, Master or PhD degree program at a European university? Or are you a young professional who is still under the age of 35 years on 14 December 2021?

  • Do you have an idea for a 3D printed component that can be made with the wire arc additive manufacturing technology?

  • Are you passionate about technology and want to see your ideas take shape?

GRADE2XL

The Design Contest is part of the Horizon 2020 project Grade2XL. This project will demonstrate the potential of multi-material wire arc additive manufacturing (WAAM) for large structures. Grade2XL will deliver multi-material products of superior quality and performance, cut lead times by up to 96% and enable massive savings for the maritime, energy and industrial machinery sectors. The Grade2XL consortium is led by M2i and gathers 21 partners from eight European countries, top innovators in the field of wire arc additive manufacturing.

CRITERIA

The following criteria will shape the selection process:

  1. Novelty: new geometry, impossible to manufacture with conventional processes;

  2. Functionally graded: showing added value of multi-material composition, i.e. different properties at different locations;

  3. Purpose: the design should be intended for a real engineering application.

SCORING CRITERIA

There is a maximum score of 10 points:

  1. Novelty: The extent to which the proposed design is a new geometry impossible to manufacture with conventional processes. Score 0-3

  2. Functionally graded: The extent to which the proposed gains (material or financial savings) when a multi-material approach is used, i.e. different properties at different locations. Score 0-3

  3. Purpose: The extent to which the design is suitable for an existing engineering application. Score 0-3

  4. Bonus point: Potential to impact the industry i.e. transferability of the approach towards other applications and sectors. Score 1

JURY

The Jury consist of five experts working in the field of WAAM, in academic and industrial organisations which are at the forefront of WAAM.

THE PRIZE

One winner/winning team will have their part manufactured at RAMLAB in Rotterdam. If the designed part is heavier than 20 kg, a representative component of up to 20 kg will be printed. The winner/winning team will be selected via a blind procedure.

DEADLINE

The submission deadline is 19 November 2021. The winner will be announced during the M2i "Meeting Materials" Conference on 14 December 2021.

APPLICATION

Make sure you download one of the application forms on the Grade2XL website available here. In the form you will find all information necessary for submitting your design.

Read more
COALA Newsletter #1 - Vision and Human-AI Collaboration in Quality Control of White Goods
 

Dear reader, we are glad to introduce this first edition of the COALA newsletter.

COALA - COgnitive Assisted agile manufacturing for a LAbor force supported by trustworthy Artificial Intelligence - is an EU Horizon 2020 funded project, which aims to develop a trustworthy voice-enabled Digital Intelligent Assistant for the manufacturing industry.

We intend to make this newsletter a regular publication and to use it to keep you in touch with news and developments related to the COALA project and its progress. In this and future editions, we shall be reporting our progress in the technological implementation of COALA solution in different business cases as well as any upcoming activities and events.

We hope that you will find our newsletter interesting and useful.

Enjoy reading our newsletter.

 

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Pathways to Energy Efficient Manufacturing workshop at Sustainable Places 2021

On the 28th of September, the DENiM team will lead a virtual cross project collaboration involving four H2020 projects funded under the FoF-09-2020 programme (DENiM, EnerMan, Ecofact & ECO2MATION) as part of the sustainable places conference taking place between 28th Sept – Oct 1st in Rome (Physical & Virtually)

The virtual workshop will take place on the 28th Sept 15:30 CET, please attend to join the community and share your views and experience through interactive sessions to help industry define clear pathways to achieve energy efficient manufacturing. 

The workshop is free but registration is required, here is the invitation link, this will require you to create a profile on the conference platform (how to article here) 

AGENDA

  • Introduction
  • Project Overview & Challenge Perspective
    • DENiM
    • ENERMAN
    • ECOFACT
    • E2COMATION
  • Interactive/Virtual White Boarding session
    • Review/capture synergies across projects (Miro activity)
    • Round table discussion on barriers, challenges and opportunities covering (Miro activity)
    • Pathway Setting: Rank opportunities/next steps as to where industry needs to go to continue to address the energy efficiency (Miro activity)

 

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Digital Thread for Additive Manufacturing: Integradde´s video is out now!

This video shows how the Integradde´s Digital Thread for Additive Manufacturing works step by step and how it has been validated in 4 Pilot Lines across Europe in real manufacturing conditions!

Watch the Integradde´s video here!

Would you like to implement Additive Manufacturing in your production processes at no cost? Apply to Integradde´s Expression of Interest!

European SMEs and MidCaps willing to implement Additive Manufacturing in their production processes are called to participate in the Integradde´s Expression of Interest (EOI). The selected winners will access the expertise and services (valued in 20K/service) provided by Integradde´s Open Pilot Network AT NO COST!

Make sure to submit your application before September 30th: https://expression-of-interest-integradde.fundingbox.com/

Learn how to build a winning application: Join us on September 8th at 11:00 for the Integradde´s EOI Infoday!
We have some tips for you to help you build a winning application! Join us at the Integradde´s EOI Infoday that will take place on September 8th at 11:00 CEST where we will address some frequently asked questions about the process and useful guidelines to make an outstanding application also, if you have some other questions or doubts this is the time for you to take the stage and get answers!

Save your seat and register for the EOI Infoday here!

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The first Open Call for i4Trust is now open!

i4Trust  launched the first of two open calls to select up to 16 Bottom-up Experiments that seek to implement experiments that demonstrate how already existing processes can be improved or new innovative services can be created by means of sharing data among multiple companies using i4Trust.

Deadline for submission: 6th September 2021 (14:00, CEST)

APPLY NOW!

We are looking for consortia composed of SMEs/slightly bigger companies (minimum 3) and 1 DIH registered in any of the following countries: 

Selected beneficiaries will become part of a customized 9-month i4Trust Data Sharing Mentoring Program, which includes:

  • Refinement of the proposed Use-Case definition
  • Mentoring support for workforce re/up-skilling
  • Mentoring support on legal, operational, technical and business matters
  • Support on i4Trust technologies (building blocks)
  • Funding as a lump sum, ranging from €72,000 to €120,000 per consortium

Visit our website to find more info i4Trust Open Call site  and  join i4Trust community

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Integradde´s Expression of Interest is open as from today (June 1st)

The INTEGRADDE project launched today (June 1st) an Expression of Interest (EOI) Call, oriented to European SMEs and Midcaps willing to implement Advanced Manufacturing solutions in their production process. 

The call will be open from June 1st until September 30th and will select 5 companies to receive selected services (such as Free-Trials) from the ‘Network of Open Pilots Lines’ Catalogue of Services. 

The Expression of Interest will choose 5 beneficiaries which will receive services from the ‘Network of Open Pilots Lines’ catalogue of services. The open pilot line network is made of four RTOs, each of them providing different schemes and AM processes:

  • AIMEN Technology Centre: owning different robot-based cells for LMD-powder (LMD-p).
  • WEST: owning different robot-based cells for WAAM and LMD-wire (LMD-w).
  • CEA: provides access to robot-based workstation for WAAM and different equipment for inspection of AM components.
  • IREPA: owning CNC-based cells for LMD-p and robot-based LMD-w with capability to process Titanium.

One additional beneficiary will receive these services from MX3D, the innovation leader in 3D metal printing and partner of INTEGRADDE.

The entire application process is carried out through the open call management site hosted at Fundingbox, while the information about the EOI is published in the Integradde community (make sure to join!)

Check the Guide For Applicants for information on the requirements for participation and the detailed free services the winners will get in the link below and APPLY NOW!

GET ALL THE INFORMATION AND START YOUR APPLICATION HERE! 

 

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“ROS drivers suite” for COMAU robots

ROS, which stands for Robotic Operating System, is an open-source robotics middleware. Nowadays, it is increasingly being used in research as well as industrial applications due to the flexibility it offers. ROS provides peer-to-peer communication among various devices, is lightweight and supports multiple programming languages.

SHERLOCK consists of 19 hardware and software modules. Following a versatile approach, communication among the modules is being achieved via ROS, either using existing ROS interfaces or building them from scratch.

In this context, LMS developed the necessary drivers that provide ROS support for the COMAU AURA and Racer5L cobots, enabling their communication with the rest of the SHERLOCK ecosystem.

The developed “ROS drivers suite” offers the following main features:

  1. Asynchronous robot control
  2. I/O control
  3. Fieldbus control
  4. Synchronous robot control (sensor tracking)

Asynchronous robot control: The robot publishes its state to the ROS driver with a frequency of 100Hz. During this operation, two ROS action servers are responsible for moving the robot, one for joint space trajectories and one for cartesian space trajectories. The desired trajectory is sent from the ROS application (e.g., MoveIt) as a goal for the robot. Functionalities such as validation that the goal is inside the robot limits and that it is ready to receive a new goal are also implemented.

I/O control: This part of the “ROS drivers suite” is responsible to enable/disable the hard-wired I/Os of the robot. A dedicated ROS service offers control over the physical of virtual GPIO pins of the controller while providing feedback regarding their state.

Fieldbus control: This part of the “ROS drivers suite” is responsible to control devices connected to the robot controller via Fieldbus (PROFINET, PROFIBUS, Ethernet IP), as well as monitor their state.

Synchronous robot control (sensor tracking): The difference of the synchronous robot control compared to the asynchronous one is that in the synchronous control, the robot is correcting its trajectory in real-time based on feedback received from dedicated sensors (force/torque sensors, vision systems etc.) The control loop frequency can be as high as 500 Hz, ensuring quick and smooth corrections. The user (ROS application) can move from asynchronous to synchronous robot control mode at any time.

“ROS drivers suite” includes two more applications. The “COMAU robot simulator” which allows the user to perform a simulation for a given application without the need of a physical robot, and the “MoveIt interface” which enables the on-the-fly trajectory planning (either in physical or virtual application).

It is worth noting that, apart from the AURA and the Racer5L robots, this “ROS drivers suite” supports a variety of COMAU robots that use the C5G controller, such as NJ4 110-2.2, NJ4 170-2.9, NJ 220-2.7, Racer 5-0.80, Racer 7-1.4.

For more information, you may visit the website of the project.

Photos --> link 1

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COMAU Racer5 Cobot released to the market!

SHERLOCK is pleased to announce the first, early, commercially exploitable result of the project, COMAU Racer5 Cobot, a new paradigm in collaborative robotics, designed and commercialized by COMAU.

COMAU, a well-known Italian robotics manufacturer and industrial partner of SHERLOCK, just released to the market their newly developed low-payload collaborative robot.

Driven by the requirements of the industrial use cases of SHERLOCK, aligned with the market needs, COMAU developed within the project a low payload collaborative robot with payload of 5Kg.

It is currently the only collaborative robot able to automatically switch from industrial robot speed to collaborative speed. This feature allows it to work in full -industrial- speed when the operator is far away from the robot while reducing its speed to lower -collaborative- speed when the operator enters its working area.  Thus, increased flexibility and productivity, as well as reduction of cycle time, can be achieved.

Moreover, Racer5 cobot offers an intuitive, non-intrusive programming framework. The operator is able to effortlessly move the end effector and teach robot motion using hand guidance.

Racer5 cobot is a certified product, complying with all the safety derivatives relevant with human-robot collaboration.

For more information, you may visit our website.

Photos --> link1, link2

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ConnectedFactories digital information pack - edition 1

Have a look at the first edition of the ConnectedFactories digital information pack - here!

It is a short sum-up of the last public events, deliverables and call for cases. Feel free to share it among your community!

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Publication “RECLAIM: Toward a New Era of Refurbishment and Remanufacturing of Industrial Equipment”

RECLAIM presents a new idea on refurbishment and remanufacturing based on big data analytics, machine learning, predictive analytics, and optimisation models using deep learning techniques and digital twin models with the aim of enabling the stakeholders to make informed decisions about whether to remanufacture, upgrade, or repair heavy machinery that is toward its end-of-life.

This publication in the Frontiers in Artificial Intelligence shows how the integration of RECLAIM technological solutions into industrial environments can lead to industries having an extra economic income from the extended lifetime of manufacturing systems and their components, which can be achieved by adopting refurbishment and remanufacturing solutions.

Get more details about the content and download the paper in our project website here!

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UPTIME Newsletter - March 2021 edition

Welcome to the 8th edition of the UPTIME Newsletter.

The UPTIME project has officially ended in February 2021. After 3,5 years of research and development, the UPTIME Platform is ready now for the market. The UPTIME consortium has defined a concrete go-to-market strategy to optimize the impact of the UPTIME Platform on the market and maximize its chances of success. The consortium feels this is the right time to launch a new solution for predictive maintenance with all of the advanced features the UPTIME Platform and its substituent components offer.

UPTIME proposes a differentiating value proposition, and its business model offers enough flexibility to reach a wide range of companies of different size and type. The market-oriented website – www.uptime-predictive-maintenance.com – with clear key messages and its demo-space is a good tool to get new leads and will be further built upon and utilized going forward in the exploitation activities. An adoption methodology for UPTIME deployment has been also created according to the successful deployment in the three business cases and is introduced in this Newsletter.

The consortium plans to drive forward the convergence of the UPTIME Platform with Industry 4.0 standards and beyond that, to address the issues that are beginning to be championed under the banner of Industry 5.0.

A strong foundation has been laid for the convergence with Industry 4.0 in the full compliance of the UPTIME Platform with the RAMI 4.0 reference architecture and addressing Asset Administration Shell (AAS) interoperability. The next step is to realise the AAS interface more fully and establish the UPTIME Platform as a Digital Twin for asset maintenance.

Events such as the 2nd UPTIME showcase event will be repeated since they proved extremely helpful in overcoming constraints imposed by the COVID-19 pandemic, however a live and in-person event will be organized as soon as possible in the post-project commercial phase. As a first step, UPTIME will be hosted by BIBA at Digital Hannover Messe event, which will take place from 12 – 16 April 2021. We’d like to take this opportunity to invite you to join us virtually at this event. You can register your participation free of charge using the ticket code “CVJVm” through this link.

On a wider scale, the cooperation begun in the framework of the ForeSee cluster will also be maintained by the UPTIME partners, to contribute in the implementation of its structured Predictive Maintenance roadmap and to have a greater impact on standards and production of commons for European industry, which will shape the access to the new market of maintenance, which is key for the industry of the future.

A full newsletter is available: https://www.uptime-h2020.eu/index.php/2021/03/31/uptime-8th-newsletter-edition-03-2021/

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Registration is now open for INTEGRADDE Online trainings!

Join the INTEGRADDE training sessions: Additive Manufacturing for Manufacturers and Final Users

The INTEGRADDE consortia has come together to offer you a 2-part online training session on June 25th and July 2nd on Additive Manufacturing.

This is an optimal way of transferring the knowledge and know-how obtained through the development of the project activities to the entire sector, including academia, professionals and public authorities.

The main objectives of these trainings are, on one hand, present the benefits for the industry of the technologies developed within project and, on the other hand, boost the acceptance and integration of the project results in the Advanced Manufacturing value chain.

This is a one-of-a-kind opportunity for entities and professionals in the sector to get first-hand information on how to apply these technologies, gain confidence about their use and stay at the forefront of the industry´s future. 

On the agenda: 

The first session will take place on June 25th and will be oriented to manufacturers. The main topics covered will be:

  • Design for Additive Manufacturing
  • Material procurement
  • Process with focus on WAAM and Laser
  • Post processing

The second session will take place on July 2nd and will be oriented to final users. The main topics covered will be:

  • General introduction to Additive Manufacturing
  • Market of Additive Manufacturing and expectations 
  • Modelling 
  • HSE (Health, safety and environmental protection in the manufacturing sector)
  • Standardization 
  • Quality and Certification 

Both sessions, organised by Bureau Veritas, will be taught by experts from top-level organisations and companies, among them:

  • ESI Group 
  • MX3D 
  • German Institute for Standardization (DIN)
  • AIMEN Technology Centre
  • Bureau Veritas Group
  • Laboratory for Manufacturing Systems & Automation at University of Patras

Do not miss this opportuniy and BOOK YOUR TICKET here!

Join the INTEGRADDE community for more events and opportunities in Advanced Manufacturing. 

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Call for Papers (ETFA 2021): Refurbishment and re-manufacturing of machinery in CPPSs

The RECLAIM special session at ETFA, the 26th International Conference on Emerging Technologies and Factory Automation (7-10 September 2021 in Sweden) provides researchers and practitioners from the industry with a platform to report on recent advances and developments as technological enablers supporting value retention throughout the industrial equipment lifecycle.

Call for proposals | Submit your paper

  • Submission deadline: (regular papers) extended to 7 May! | (Work-in-progress/Industry practice papers) 13 May
  • Acceptance notification: June 10
  • Deadline for final manuscripts: June 17

Topics include (but not limited to):

  • Big data analytics, predictive analytics, and optimisation models using deep learning techniques, and digital twin models.
  • Models for informed decision about whether refurbish, remanufacture, upgrade, or repair machinery that is towards its end-of-life.
  • Technologies and strategies to support a new paradigm for refurbishment and remanufacturing of industrial equipment in factories.
  • New concepts and strategies for repair and equipment upgrade and factory layouts’ redesign.
  • Optimal refurbishment and re-manufacturing of electromechanical machines and robotics systems.
  • IoT sensors, novel prediction, and process optimisation techniques to offer machine lifetime extension.
  • Innovative fog computing and augmented reality techniques combined with enhanced health monitoring and failure inspection and diagnosis.
  • Approaches for the servicing and upgrading of legacy equipment evaluation and demonstration of approaches in real industrial environments.

More info: Refurbishment and re-manufacturing of machinery in Cyber-Physical Production Systems 

 

About the EU project RECLAIM (H2020): RE-manufaCturing and Refurbishment LArge Industrial equipment: Manufacturing is a pillar of innovation and growth for Europe, but outdated machinery and unplanned downtime can cause significant losses for companies and employees. RECLAIM provides techniques, strategies, and decision-making tools to reduce machine obsolescence, improve predictive maintenance and upgrade legacy machines. The project partners will demonstrate the advantages of high-tech refurbishment and reuse of large production equipment and lines in 5 industrial sites across sectors – welding, woodwork, textiles, robotics/white goods and footwear, and initiate replication in further sectors. Don't hesitate to get in touch!

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Digital twins for manufacturing: EU innovation Project DIGITbrain will give SMEs easy access to digital twins through Open Call

DIGITbrain Project, which is funded by the EU Research and Innovation Programme Horizon 2020, aims to enable small and medium-sized European manufacturing companies (SMEs & mid-caps) to benefit from AI-based Manufacturing-as-a-Service (MaaS). In its first Open Call from March 2021 to June 2021 the project will accept new applicants and support the implementation of seven industrial use cases in the field of manufacturing with up to 100K Euros.

DIGITbrain in a nutshell

The Digital Brain is a completely novel concept that extends the Digital Twin to cover the full lifecycle of industrial products and thereby expands it to a smart entity having analysis and decision support capabilities. By having access to on-demand data, models, algorithms, and resources for industrial products the "Digital Product Brain" will, enable their customisation and adaptation according to very individual conditions and thus, facilitate the implementation of Manufacturing as a Service for SMEs. This will not only accelerate adaptation of manufacturing and products to changing conditions, and enable personalized manufacturing in an affordable way, but also facilitate cost-effective distributed and localised production, allowing them to access advanced manufacturing facilities within their regions or to distribute their orders across different ones.

Apply for the project until the end of June 2021 with your industrial use case and join a Pan-European Team that helps solving it!

In its lifetime the project will implement 21 highly innovative experiments, each bringing together suitable manufacturing end-users, technology providers, research organisations, High Performance Computing providers or Digital Innovation Hubs, in order to implement an individual use case-based Digital Twin.

Who can apply?

Companies from the above mentioned groups, located in the EU, a Horizon 2020 associated country or the UK, can apply in one of the two Open Calls, with their specific use case. Experiments can cover all segments of the entire manufacturing sector, e.g. discrete manufacturing, continuous production or construction. In its first Open Call, open from 31st March 2021 to 30th June 2021, it will add 7 new experiments, eligible by up to 100K Euros each. The experiments will be integrated to a Digital Marketplace, which provides the necessary graphical user interfaces (GUIs) in view of configuring and monitoring the Digital Brain for an industrial-product instance and will handle the access rights to the Digital Brain’s instances.

The Project is funded by the EU Research and Innovation Programme Horizon 2020 under grant agreement number 952071 and currently composed of a consortium of 36 partners.

DIGITbrain Open Call Details:

  • DIGITbrain will be running 2 Open Calls for experiments all over Europe with a budget of: 1 400 000 € which you can apply to
    • 1st Open Call: From March 2021 to June 2021
    • 2nd Open Call: From March 2022 to June 2022
  • 7 application experiments will be accepted in every Open Call and receive
    • up to 100K Euros per experiment
    • up to 60K Euros (possible) per third party

DIGITbrain Open Call timeline

  • Opening date: March 31st, 2021 - 10:00h (CEST Time)
  • Proposal submission deadline: June 30th, 2021 - 17:00h (CEST Time)
  • Proposal evaluation phase: from June 30th to the end of September 2021
  • Announcement of accepted proposals: September 2021
  • Support throughout the process (application, design and implementation of the experiment) by the participating Digital Innovation Hubs.
  • Begin of implementation phase: October 2021
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ECSEL Industry4.E Lighthouse | Bringing Projects Together | Workshop

Today we bring together an exclusive group of experienced research and innovation project partners to get first-hand insight into the key exploitable results from projects including ECSEL Industry4.E and Horizon 2020 as we prepare for the Horizon Europe, Cluster 4, Digital Industry and Space, September call deadlines and future R&I collaboration opportunities together.

Time: 1200 – 1400 CET

Date: Thursday 11th of March 2021

Location: Microsoft Teams

The presentation and recording will be available here shorlty for further innovation and collaboration opportunities. 

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ConnectedFactories Cybersecurity Workshop - presentation and recordings are available

The ConnectedFactories Cybersecurity workshop took place on the 20 January 2020.  Presentation and recordings are available here: https://www.connectedfactories.eu/events/cybersecurity-workshoppresentations-and-recordings

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An Open Pilot Line at IREPA LASER

IREPA LASER is an industrial research and development company specialized in laser processes and materials, with a laser machine base including over 20 devices to support all companies in their needs.

The main service is to offer customers tailored industrial solutions to support them in their product development and manufacturing engineering projects. This service is focused on three main skill areas: Additive Manufacturing, surface functionalization and welding. IREPA LASER is also a laser training centre and can train individuals in the use of laser technology.

IREPA LASER is involved within INTEGRADDE project for the development of a new manufacturing methodology capable of ensuring the manufacturability, reliability and quality of a target metal component from initial product design via Direct Energy Deposition (DED) technologies. An open-pilot line will be implemented at IREPA LASER, which will allow a continuous validation and deployment of specific developments towards industrialization.

The general INTEGRADDE concept and end-to-end the solution is being deployed at IREPA facilities to test and review as early adopter of this manufacturing methodology. Data collected from different steps are implemented through the digital thread with the final aim to improve the quality of the parts manufactured.

The development of this concept uses of the equipment features of IREPA LASER.

A machine is dedicated to DED-powder (MAGIC system) with 2 lasers (IPG YLR500, and IPG DLR2000), the original MacroCLAD head from IREPA LASER, and a powder feeder from MEDICOAT.

A new hardware has been recently implemented at IREPA LASER. This new robotic system consists of 2 robots, one of which is installed on a linear 5m axis, a rotary table able to support 3T. 2 fibre lasers (IPG laser YLS) bring their laser beam to the DED-powder and DED-wire heads. Profinet network is used to connect and control all this equipment. This novel machine has been designed in order to work on a large scale parts (up to 5m long), with the selected two processes: DED-powder and DED-wire.

Using previous existing LMD-p infrastructure, several developments on process window development, monitoring and control have been carried out. Particularly, efforts have been focused on data collection from CNC and image-based process monitoring information. Data are collected from process sensors (such as image-based data from an NIT camera, temperature) and CNC positions synchronously during the additive manufacturing process. These datasets have been processed, in collaboration with AIMEN, NIT, ATOS and CEA, to generate a 3D representation of the parts being built.

Concerning the digital thread, IREPA has recently migrated on a new CAD-CAM software: SIEMENS NX with the ‘multiaxis deposition module’ for DED machine programming. In collaboration with the partner ‘University of Coimbra’, the use of the AML format in development.

Process development is carried out by using the two DED processes: DED-p and DED-w.

Concerning the DED-w, the PRECITEC Head named ‘Coax Printer’ is used. The upgraded version of this head has been recently received and implemented. It allows recording the interaction between beam-wire-substrate during the deposition with a coaxial vision in order to get more data for the control process.

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ForeSee WEBINAR - Application of #Standards by factories of the future for Predictive Maintenance

ForeSee WEBINAR - Application of Standards by factories of the future for Predictive Maintenance

When? January 28th from 4.30 pm CET

Topic: Best practices for standardisation activities and improvements for industrial IoT and smart manufacturing

Registration link: https://bit.ly/3c7yywY

Further information at this link: http://foresee-cluster.eu/

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UPTIME Newsletter - November 2020 edition

Welcome to the 7th edition of the UPTIME Newsletter.

The UPTIME project has entered the final phase. The prototype of the UPTIME Platform has been deployed into the three industrial business cases in its final configuration.

The UPTIME Platform gives you a competitive advantage by empowering everyone involved in your maintenance activities. Operational staff and managers benefit from real-time visualization of asset conditions, correlation analyses and accurate predictions. Maintenance managers benefit from actionable plans based on accurate predictions, increasing efficiency and reducing costs. All stakeholders gain valuable insights into the data thanks to intuitive, customizable visualization. In this edition, we gladly present you 10 main added-values of UPTIME Platform perceived by our industrial end-users.

In addition to the six main components of the UPTIME Platform introduced in the previous newsletters, in this issue, we are proud to announce the UPTIME Workers’ Mobile Application, which helps workers on the shop floor stay up-to-date in real-time about their maintenance tasks.

A full newsletter is available: https://www.uptime-h2020.eu/index.php/2020/11/20/uptime-7th-newsletter-edition-11-2020/

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UPTIME 3rd Live Webinar: Predictive Maintenance: Lessons Learned and Best Practices in Aviation Industry - 10 Dec 2020

REGISTRATION

Date: Thu, 10 December 2020

Time: 11:00 - 12:30 CET

The UPTIME 3rd Webinar will address benefits of predictive maintenance in a highly complex transportation asset operations deployed in the aviation industry. UPTIME Partner from FFT Produktionssyteme GmbH & Co. KG will share his experiences, challenges and some lessons learnt from the implementation of the UPTIME Platform in the FFT use case.

The use case focusses on one specific production logistics asset used in the aviation industry, so-called “jig” for the transport of wing covers of commercial aircraft. The reliability of production logistics assets is a critical cost factor in the production of high-value products such as aircraft and needs to be considered along with the reliability of other production equipment to ensure a timely, cost-effective and high-quality production processes. Due to the critical nature of the deployment of these assets, the requirements are both technically and organisationally very high. The need has arisen to increase efficiency in maintenance execution as well as in reporting to the client, who in most of our projects is responsible for the logistics coordination of their assets.

The web seminar is free of charge, dedicated to people who want to learn and see a concrete implementation of the UPTIME Predictive Maintenance Platform in a real business case. It is interactive, where you have the opportunity to ask questions to the experts panel and we are happy to receive your feedback.

If you have any questions or comments, please contact us.

 
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Registration is now open - Cybersecurity workshop: 20 January 2020

We kindly invite you to register for the Cybersecurity workshop on the 20 January 2020 organised by ConnectedFactories 2.

                                              Register here and download the agenda

The online workshop will provide an insight into the recent developments of projects that focus on cybersecurity in manufacturing:  SeCoIIA and COLLABS project. 

It will also provide an insight into how cybersecurity aspects are addressed in other projects that focus on the digitalisation of manufacturing and the deployment of digital platforms (see https://www.connectedfactories.eu/origin-project-and-outreach ).     

Have a look also at the presentation on CyberSecurity Related Standards by Ulrich Seldeslachts, LSEC (recording & presentation) from the recent ConnectedFactories Webinar on Standards for digital manufacturing.

 

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ESSIAL video pitch at the Rev3 Energy Day

ESSIAL has been selected to participate in the Rev3 Energy Day (2 December 2020, online) with a video pitch presenting the project followed by a round table with the coordinator. 

The Rev3 Energy Day will take place on 2 December 2020, from 16:00 to 19:00 online. This annual event, organised by the Energy Pole and the MEDEE Cluster, aims at bringing together research and industry. Its objective is to raise compagnies' awareness of the energy research work carried out in the Hauts-de-France Region (Northern France) and to encourage the emergence of new collaborative projects.

In this context, ESSIAL has been selected to present the project through a 4-minute video pitch. The video (online soon) highlights the technical, economic and environmental impact of the project, as well as its applications. The pitch will be followed by a round table discussion with ESSIAL coordinator Olivier Maloberti (ESIEE Amiens).

Free registration here.

The event will be held in French

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Standardization in INTEGRADDE

In research projects, especially when public funding is provided, the effective, economic usability of the results is increasingly in the focus. Research projects must therefore be holistically and long-term oriented. For this purpose, DIN offers many years of expertise to provide optimum support for the market transfer and dissemination of innovative results from research and development.

In INTEGRADDE, DIN is the partner for questions concerning standardization. DIN coordinates the standardization activities of the project. These activities comprise the knowledge transfer regarding standardization, the development of an overview of the current standardization landscape in the subject area AM as well as the development of accompanying standardization measures.

To foster the knowledge transfer a special standardization training was developed aiming to enable the project partners to develop and pursue joint standardization activities.

The overview of the current standardization landscape provides a detailed research on relevant standardization committees and corresponding standards.

In the case of INTEGRADDE, it quickly became clear that ISO/TC 261 "Additive Manufacturing" is trend-setting in AM and that close cooperation should be targeted.

Due to the very different knowledge base in INTEGRADDE about standardization DIN has developed a standardization training especially for the INTEGRADDE project. The aim of the training was to provide knowledge enabling the project partners to develop and pursue joint standardization activities. Furthermore, the training emphasizes the high relevance of standardization for AM and is meant to motivate the project partners to follow current developments in standardization committees as well as to document and disseminate the knowledge acquired in INTEGRADDE in the long term. The training is divided into the following five chapters: Meaning, structure, integration, AM, follow-up. Each chapter has its own conclusion with the most important information in order to realize an easy understanding and the highest possible absorption of the knowledge.

The training provides information on why it is important to push the issue of standardization both from the beginning and continuously and what the benefits of standardization are. This is followed by an explanation of the basic principles of the working method and the underlying process. The third chapter presents the possibilities for participation and gives an assessment of the resources required for participation.

In the chapter specifically focusing on AM, the most important standards are listed and the standards research carried out is explained. In addition, the structure of the standardization committees in the area of AM is explained before finally reaching a conclusion with the most essential information.

 

After these cornerstones were laid, the actual standardization started. Challenges faced by the project partners due to gaps in standardization were assessed with the help of a two day workshop. On day one the project partners were asked to position themselves within the INTEGRADDE process as well as to identify and to prioritize current challenges with regard to standardization. On the second day of the workshop the challenges were compared to current and planned standardization projects of ISO/TC 261. These comparisons have been discussed and it was determined in which projects INTEGRADDE should participate or comment. The following key issues of INTEGRADDE for standardization could be identified: 

·        Digital thread

·        Quality assessment (operator, machines, process)

·        Software interoperability

·        Process safety

·        Testing (software, non-destructive, destructive)

·        Properties(feedstock conditions, material, finished parts (e.g. defects))

·        Design methods

·        Terminology

Based on these results a common standardization strategy for the INTEGRADDE project has been prepared. Especially the standardization idea of the "digital thread" for which there is currently no current or planned standardization project is of great importance for the INTEGRADDE project. For this reason, the project is currently striving for close cooperation with ISO/TC 261/WG 4 "Data and Design". With the development of the standardization strategy, an important milestone was accomplished regarding standardization. The further implementation of this strategy will be coordinated and supported by DIN.

As steps in standardization DIN will continue to pursue a close collaboration between the standardization bodies and INTEGRADDE.  One step will be to contribute to the assessed standardization projects. DIN further will identify the responsible groups within ISO/TC 261 for the remaining standardization ideas and check how these can be addressed best.

http://www.integraddeproject.eu/590/standardization_in_integradde

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1st iQonic funded paper published by Brunel University London

We are happy to announce our first iQonic funded paper published by Brunel University London. The publication is a comprehensive review article that highlights the importance of automatic optical inspection in electronics industry.

The article is available in the following link.

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Digitalization of Manufacturing: Building the ecosystem for a smart and sustainable future

The Digitalization of Manufacturing: Building the ecosystem for a smart and sustainable future event is on the 12sd of November 2020, within the framework of the 2020 edition of the World Manufacturing Forum. It is co-organized by Smart Anything Everywhere, Politecnico di Milano, MADE Competence Center and DIH Lombardia.

This event will bring together European, national and regional initiatives aimed at boosting the digital transformation of manufacturing, to share available opportunities and good practices, and discuss about synergies to work together.
The audience will find out about technologies, funding and collaboration opportunities offered by the “Smart Anything Everywhere” European Initiative to foster the digitalization of SMEs and midcaps. Moreover, the audience will have the opportunity to get lessons learnt and recommendations about the on-going development of the European Digital Innovation Hubs Network building bridges between the European and the local level.

Register here and join the event live to interact with the speakers.

Find the full programme - here

 
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Presentations and recordings available - 'Standards for Digital Manufacturing Webinar' - 20 October 2020

The presentations and recording are available here.

You are also invited to follow the ConnectedFactories2 project and other projects of your interest via the EFFRA Innovation Portal’s weekly digest functionality , you can find out more information on how to do this here: https://www.connectedfactories.eu/follow-connectedfactories-effra-innovation-portal-weekly-digest

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Join the iPRODUCE event | The Social Manufacturing Paradigm: co-creating with manufacturers, makerspaces and consumers

:: REGISTER NOW! ::

In recent years, every day citizens have had an increasing amount of opportunities to actively participate, contribute and decide in different areas and contexts. Although these opportunities are still emerging, the manufacturing industry is no exception to this paradigm.

The objective of the online event – The Social Manufacturing Paradigm: co-creating with manufacturers, makerspaces and consumers – is to highlight the role of makers and consumers in the social manufacturing landscape, which promotes the participation among individuals and the industry in the production of consumer goods.

This framework will be made based on the activities being carried out within the iPRODUCE project. The presentations will focus on highlighting the main requirements and challenges faced by consumers and the industry and technologies that are available to facilitate a collaborative manufacturing environment. Invited speakers will showcase ongoing work and existing practices within the domain of social manufacturing. Finally, a virtual round table will provide the audience with an opportunity to engage and manufacture a fruitful and interactive discussion.

Preliminary agenda:
09h30 | Virtual hello and welcome
09h45 | Introduction of iPRODUCE
10h00 | The social manufacturing paradigm: needs, practices and tools
10h30 | Keynote 01
11h00 | Break
11h15 | Keynote 02
11h45 | Presentations from iPRODUCE collaborations
12h15 | Virtual round table
12h45 | Wrap up and end of event


More information on the iPRODUCE website

:: REGISTER NOW! ::

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Industry4.E Lighthouse Newsletter - August

See the Industry4.E Lighthouse newsletter here https://mailchi.mp/1ed66f7454cd/industry4e-e-newsletter-issue-one

Please subscribe to receive future newsletters directly

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2nd Newsletter of iQonic

The 2nd newsletter of iQonic project has been published!

Click the link to find out information about iQonic Use Cases and key extracts from our recent participation at SPIE. Photonics West.  

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Predictive Maintenance: European success stories - 1st ForeSee webinar

On September 24th join the #ForeSee cluster for the 1st #webinar on"Predictive Maintenance: European success stories"!

We'll talk about Platforms and Microservices for manufacturing operations with Prof Sotiris Makris & Kosmas Alexopoulos from the University of Patras and we’ll present @WhirlpoolCorp & @IDEKO demonstrations!

Register for participating: https://www.crit-research.it/en/eventi/predictive-maintenance-webinar-series-european-success-stories/ https://www.crit-research.it/en/eventi/predictive-maintenance-webinar-series-european-success-stories/

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TOWARDS THE DEVELOPMENT OF THE IQONIC ARCHITECTURE FOR ZERO-DEFECT MANUFACTURING OF OPTOELECTRONIC COMPONENTS

The 1st phase (M1-M18) of the iQonic project has just concluded with the 1st Review Meeting with the Project Officer and Monitor. After the collection of requirements, the identification of optoelectronic functionalities and the development of the HW and SW solutions that will compose the iQonic architecture for the zero-defect manufacturing of opto-electronic components, the main technologies and methodologies are now ready for the testing, validation and integration in relevant use-case scenarios.

In the first phase of the iQonic R&D activities, the needs and expectation of the consortium as well as of project’s stakeholders were closely observed and extracted from the project use-cases – ALPES LASER, PRIMA ELECTRO, FILAR OPTOMATERIALS and BRIGHTERWAVE. These results have been collected in a detailed list of technical and non-technical requirements and specifications. Moreover, optoelectronic functionalities for each use case, the generic development frameworks for the assembly processes and the data input and output points in the process chain were defined.

This enabled the development and laboratory testing of the iQonic HW and SW technologies, including the iQonic sensorial network, adaptive optics and electronic nose for evaluation of materials, smart grasping robotic for flexible handling and the Knowledge Based System. In parallel with technical development, a set of innovation management activities took place aiming to develop the roadmap to introduce the iQonic technology to the market, after the end of the project.

In the next months, these technologies will be integrated in the iQonic optoelectronics manufacturing architecture and together with the definition of defect detection and classification techniques – 3D imaging methodologies and smart tagging, defect severity evaluation and decision support systems (DSS), processes and tools for reuse or requalification – and defect management techniques – Predictive Maintenance functionalities: Cyber Physical System – CPS, end-of-life management, Reverse Supply Chain –  will pave the way towards zero-defect manufacturing of opto-electronics and photonics.

Eventually, starting from the project 2nd phase (M19-M30), iQonic solutions will be integrated and validated at the shop floor level in several demonstrators at iQonic end-users’ facilities. The full version of the press release can be found in iQonic website.

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Link to project news here

Please find all news on the project at https://www.emb3rs.eu/news/

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ESSIAL Virtual Technical Workshop - Andaltec

ESSIAL International Technical Workshop will take place online on 10 September 2020. This event is organised by ESSIAL's partner Andaltec (Centro Tecnológico del Plástico). This event was initially planned on 26 March 2020 at Andaltec Heaquarters in Martos (Jaén), Spain, but had to be cancelled due to the COVID-19 outbreak. Finally, the workshop will be organised virtually as a webinar

The workshop aims at presenting the project results and engage the stakeholders into personal interactions with the project participants. It is open to researchers, engineers and SMEs that may be interested in such a new technology.

Below, the programme of the workshop:

  • 10:00: Opening - José María Navarro, General Manager at Andaltec
  • 10:15: ESSIAL project presentation and laser welding process - Jesús Castillo, R&D engineer at Andaltec
  • 10:30: Electrical steel manufacturing process and microscopy analysis in ESSIAL project - Jean-Pierre Birat and Camille Pineau, consultants and researchers at IRT-M2P
  • 11:15: Break
  • 11:45: ln-line monitoring techniques and upscaling strategies to optimize the manufacturing time and costs - Anne Henrottin, R&D Engineer at Lasea
  • 12:30: Impact of local surface laser treatment on magnetic properties of grain-oriented silicon iron sheets - Manar Nesser, PhD student at UPJV in collaboration with ESIEE-Amiens
  • 13:15: End of the Webinar

Registration:

Registration is free of charge. You are just re­quired to send your contact data (company name. number of attendants and e-mail address) to jesus.castillo@andaltec.org. The participants will receive the information to access the Webinar platform upon registration. 

More information on the ESSIAL Website

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ForeSee Cluster Webinar Series

Predictive Maintenance: European success stories

The ForeSee Cluster has launched a series of webinars to discuss about the breakthrough Predictive Maintenance innovations achieved by its members.

Have a look at the program and subscribe to the 1st meeting to know more on our PdM solutions!

Program: http://foresee-cluster.eu/wp-content/uploads/2020/08/ForeSeeWebinarSeries.pdf

For further information on the initiative: https://www.z-bre4k.eu/news/foresee-cluster-webinar-series/

 

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Rossini’s recent advances in the cognitive layer for collaborative robot control - Press release

Please, find at this link the most recent updates on the Rossini project: https://www.rossini-project.com/news-and-events

 

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Find all NEWS and SCIENTIFIC PUBLICATIONS here

Please find all project news here: https://www.etekina.eu/news/ and all Scientific Publications here: https://www.etekina.eu/scientific-publications/

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Find all news here

Please have a look here https://www.laser4surf.eu/news/ to find all news about the project. Thanks!

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KEY FACTOR MOVEMENT PRIMITIVES: HOW CAN WE MAKE A ROBOT LEARN FROM HUMANS?

HOW DOES A ROBOT LEARN HOW TO PERFORM A TASK NOWADAYS?

Since Henry Ford’s assembly lines, automation systems have been developed and integrated in the industry all over the world. Clear examples of this are Amazon’s automated warehouses or Coca-Cola’s dark sheds

While these examples are stunning, it is also true that nowadays, these robots need their own warehouses where no interaction with humans happens. Also, high qualified robotics engineers have to program them to perform the required repetitive tasks.

In the future, we imagine a world where anybody, without any prior knowledge in robotics, could buy a robot, set it in their workshop and start teaching the robot to perform some task interacting with the human workers. But, what should the robot learn? Welcome to the Movement Primitives.

WHAT ARE THE MOVEMENT PRIMITIVES?

Movement Primitives are the set models that represent the different type of actions the robot could do.These models will generate trajectories the robot should follow in order to perform a certain task.

Let’s assume we want a robot to learn to pick a certain object. Instead of programming the task, we can make the robot learn from human demonstrations. A human could move manually the robot arm to the object we want to pick several times while changing the object position and the robot will learn a model that represents that action. Afterwards, if the object is set in a completely new position, the robot will be able to generate a trajectory to pick this object.

MOVEMENT PRIMITIVES IN SHAREWORK

SHAREWORK project benefits from the use of Movement Primitives for task recognition and also prediction of human movement. Movement Primitives can represent the different type of motions the human does and so, they could be integrated as an additional feature for a task classification module. On the other side, Movement Primitives can provide a probabilistic prediction model about where the human is going to be, in order to improve the robot motion planners. 

During the SHAREWORK project, Context-Aware Movement Primitive Segmentation algorithms are going to be applied. The algorithm will be able to segment the recorded human motion online and learn the simplest blocks of which the human motion is built in order to solve a complex task

SHAREWORK project will use Movement Primitives for learning from human actions by understanding the worker’s behaviour and anticipating tasks 

These learned motion primitives are contextualised with the objects in the environment in order to adapt to the different positions the same object can be placed. Afterwards, these Movement Primitives will be used as the building blocks of the task classification algorithms.

These same Context-Aware Movement Primitives will provide a probabilistic prediction of the position of the human in the future. Mixed with robot motion planner, the robot will plan safer trajectories, avoiding the collision with the humans.

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ROBOTICS INTO HANDWORK MANUFACTURING: THE FIGURE OF THE TECHNOLOGY COACH FOR LEADING AN EFFECTIVE AND SMOOTH IMPLEMENTATION

THE NEW CHALLENGE OF ROBOTICS: TAKE OVER THE HANDWORK MANUFACTURING

The Robotic Industry is growing bigger day by day, launching on the market several advanced solutions which promise to revolutionise the way factories produce goods and assembly parts in a near future. As a result, also the expectations of Industry are constantly increasing and they look at robots as the definitive solution to save time (and, of course, money) and boost profits of their manufacturing companies.

The handwork manufacture is the new battlefield that robotics has begun to conquest in recent years, but despite this there is still a lot of room for improvement and expansion. In fact, while nowadays almost all the operators performing repetitive and simple tasks have been replaced with highly automated assembly lines, the same has not yet happened for handcraft. This is mainly due by the fact that manual labour requires such high skills and a human sensitivity that, at the moment, a robot cannot replace the operator in almost all the cases.

The automation of assembly lines based mainly on handwork are quite a challenge for the robotic industry due to the need of high skills and sensitivity

The solution that robotic producers have found to overcome this limit is the launch on the market of collaborative robots (also called cobots). Cobots aim to support handcrafts in the most repetitive, heaviest and uncomfortable tasks rather than completely replace them, allowing to preserve the high quality generated by manual labour and speeding up the productivity at the same time.

Unfortunately, the implementation of a robotic system into the production process is everything except easy and instantaneous and the benefits the robot could bring are not so obvious. In fact, the selection of proper components and a smooth integration are crucial to generate the positive impact on productivity, quality and operators’ working conditions which factory owners wish. And this is even more true for the implementation of collaborative robots into handwork manufacturing, where the system should reach high performance without neglecting the operator safety and the human acceptance.

Collaborative robots offer handcraft industries a support in repetitive and uncomfortable tasks for operators

Indeed, there is the need of an intermediary figure which could drive the end-user through the jungle of robotic products and serve as an interface between the salesman approach of suppliers and the concreteness of craftsmen undertaking in the workshop. This figure within Sharework project is commonly named as “Technology Coach”, and STAM is in charge of filling that role for one of the four use-cases, namely the assembly of rotary table in Goizper factory.

THE TECHNOLOGY COACH: NOT ONLY A MATTER OF DESIGN

If the role of the Technology Coach is essential in the implementation of a robotic system into production lines, it could be even crucial when we talk about the introduction of cobots supporting handcrafts because of the aforementioned reasons. But exactly, who the Technology Coach is? And what it is supposed to do?

Generally speaking, it is a work team with well-mixed competences which belongs to a high-tech company or a R&D center. Unlike suppliers or system integrators, the Technology Coach not only proposes the design of a tailored robotic cell, but they follow a holistic approach which involves the end-user to reinvent and redesign the workflow and the workshop layout of tomorrow in a better way.

The Technology Coach should listen and understand the needs and the objectives of the end-user. Satisfying these wishes and achieving these goals will be its main mission. Once an agreement is found, Technology Coach should select suitable commercial solution, get in touch with suppliers, design the robotic system, reinvent the workflow and reshape the layout if needed, install and test the solution.They should take care of the whole process of implementation of the robot into the shop floorfrom the definition of requirements to the commissioning and final test. This is an iterative and continuous process, some steps should be done several times until finding an equilibrium among the end-user expectations, the current robotic supply, the budget, the operator acceptance and well-being, the timing and so on.

Technology Coaches help industries in the implementation of new robotic systems, leading the whole innovation process matching he end-user’s demand in the most effective way

Most of the work of a Technology Coach can be done in its headquarters, using modern communication network to periodically update the end-user about the work progress. However, it is highly recommended to have a face-to-face with the end-user at the begin of the project, as well as to visit the shop floor and talk with operators working there to have a clear picture of the process.

The value added to the figure of the Technology Coach is to put at the stake all its set of cross-cutting competences and resources to satisfy the wishes of the end-user. Technical Coaching does not simply mean designing a robotic cell, but leading the whole innovation process of the manufacture, matching the robotic supply to the end-user’s demand in the most effective and smooth way.

THE SHAREWORK EXAMPLE: A COBOT FOR SUPPORTING THE MANUAL ASSEMBLY OF ROTARY TABLE

As mentioned before, STAM embodies the role of Technology Coach in Sharework project to support Goizper and coordinate partners contributions in the implementation of a collaborative robot system in their servo rotary table assembly area. As the assembly of these components requires a remarkable human sensitivity and manual skill, the main aim of Goizper is to delegate to the Sharework system the most heavy and repetitive tasks of the assembly, while preserving worker focus on the most skilled operations.

As first step, we worked together to select the most suitable tasks to be delegated to the cobot and to define in details each scenario. In order to have a complete and clear picture of the workshop and the process, we carried out a technical visit to the factory together with the consortium. We had the chance to directly experience the working conditions (e.g. spaces, loads, noise), as well as to talk in first person with the workers to collect their feedback.

Once the use-case was pretty defined, STAM began to serve as an interface among the end-user and the external world. Our role was double: on one hand we translated the requests of Goizper into requirements and clear specification to effectively communicate with commercial suppliers and with the multiple software developers involved in Sharework, each one focused on different specific tasks. And, vice versa, we collected feedbacks, requests and suggestions from all the different entities involved in the Sharework project to provide a unified vision to Goizper and to propose them a feasible human-robot collaborative solution that could meet their expectations.

For these purposes, 3D models and views (see the following pictures), as well as all the other visual medias, are very useful to finally put on paper the developed concept and allow other partners to understand it in an easy and clear manner.

It has been a long and iterative decisional process, but, in the end, we did it! We reached a final solution reinventing the rotary table assembly workflow to enhance the productivity, exalt the qualities of workers and safeguard their well-being.

However, our job is just starting out: we have to work hard in the next months to make this design on paper a concrete reality. Stay tuned!

 

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TRAVELLING TO GOIZPER 4.0 WITH COLLABORATIVE ROBOTICS ON BOARD

During the last years, Goizper’s mind has changed little by little, complementing new technology developments with the power transmission components portfolio. The obtained good results have certified that new technologies integration is the correct way to follow.

A STEP FORWARD BECOMING GOIZPER 4.0 

Goizper S. Coop. has already integrated several Industry 4.0 solutions related to its market products, such as smart-G, an IoT monitoring system integrated on mechanical components in order to predict failures. However, now Goizper has started a new era introducing Industry 4.0 solutions on its own shop floor in Antzuola, Basque Country (Spain).

On the one side, new machinery, such as milling and turning machines, are running in Goizper’s shop floor, with integrated IoT solutions and direct connection with the supplier (machine experts) through internet. On the other side, Goizper has decided to invest in new technologies on the manual assembly area, where operators’ ergonomic issues concern the company.

Conventional robots have never fit in the assembly area due to the flexibility degree that Goizper’s products assembly require and the high variety and low quantities of each reference. However, Goizper decided to go further and participate in Sharework project as we believe that collaborative robots will be able to provide the flexibility that Goizper’s assembly area needs. Within the project, Goizper Industrial will validate a new design of their workplace to introduce collaborative robots in their servo rotary table assembly area.

Several benefits are expected from Sharework project, including an improvement of ergonomics in the workplaceavoid work-related injuriesimprove the final quality of the product and a significant reduction of the assembly process’ cycle time.

OPERATORS’ ERGONOMICS CONDITIONS TO IMPROVE

A new way of introducing robotics into the workplace has risen with the development of collaborative robotics (Cobots), which allow the operator to share the assembly area with robots without the need to be separated by fences. Managers in Goizper think that Cobots introduction in the assembly line by means of Sharework project, will improve operators´ ergonomics conditions.

Power transmission components’ assembly, such as turning tables, request many manual adjustments applied by human force. Hence, some tasks could lead to back injuries or muscular pain in operators.

OPERATORS AND COBOTS, A SUCCESSFUL TEAM TO RISE PRODUCT QUALITY  

For sure, with the introduction of cobots for operators’ assistance, the quality of the assembled product will be higher. Obviously, automated processes provide a higher percentage of good parts compared to manual processes. In Sharework industrial scenario, bolts will be locked with the same torque in a repetitive and more precise tool than nowadays.

Goizper is eager to see how much the quality of their products is improved after cobots incorporation, during Sharework project.

SPEEDING UP THE ASSEMBLY PROCESS

Productivity is not the main goal of this technology integration; nevertheless, assembly cycle time is expected to be reduced due to the fast execution of UR10 Cobots. Within Sharework scenario, which will be applied to our servo rotary table assembly area, time reduction must provide a better lead time of the product and economic benefits.

THE SAFETY OF OUR EMPLOYEES AT THE CENTER OF ALL THE OPERATION

As none of these new technology’s integration could run before ensuring human safety and make sure that all safety requirements in the shop floor are met, Goizper’s Human Resources Department – the bridge between the new technology and the human – is also closely participating in Sharework project.

Goizper, as one of Sharework’s project industrial scenarios, aims to use the collaboration robotics technology for assisting and helping operators in their daily tasks, such as handling heavy parts to the operator and passing them the correct part to be assembled or the tool to be used at the correct time. Under no circumstances the operator will be replaced by the collaborative robot but just another tool available to help for the operator, in addition to other technologies or devices already deployed in the assembly workplace.

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CEMBRE AND THE SHAREWORK PROJECT: A STORY ON COLLABORATIVE ROBOTS’ DEPLOYMENT IN FLEXIBLE MANUFACTURING ASSEMBLY AREAS

The manufacturing industry is observing great changes in these years. Its radical evolution is due to the growing demand of the market, accompanied with an increase of variety. Both these characteristics force us to gain more flexibility, accuracy and efficiency in our production departments, together with a continuous cost reduction.

The industrial manufacturing applications have seen the introduction of a new category of robots – collaborative robots (or “cobots”) – designed to physically interact with humans in a shared environment, without the typical barriers or protective cages used in traditional robotic systems.

Our vision in Cembre S.p.A. is to take advantage from cobots and from the smart manufacturing as a whole in order to increase the service rate and improve the worker’s ergonomics. We think that human-robot collaboration (HRC) is prime for increasing both these factors and that Sharework EU project is fundamental for developing more knowledge about HRC, helping filling the gap between the robotic and the human worlds.

Cembre could have gone to full shop floor automation but we would have lost human flexibility. Collaborative robots provide a half way solution between the human and robotics world

THE INTRODUCTION OF COLLABORATIVE ROBOTICS IN ADVANCED MACHINE TENDING

Cembre S.p.A., based in Brescia (Italy), is always eager to employ new methods or technologies that can support the development and the improvement of its entire production system. For this reason, the company constantly collaborates with universities, start-ups, research centres and others associations.

The Sharework project perfectly fits in this approach, since it will be pioneering in the employment of HRC using collaborative robots within manufacturing systems and, in general, in industrial operations.

The objectives we want to achieve are many.

  1. Gain flexibility in managing the machining of a large variety of parts without the need to develop expensive equipment and plan a long training for every new product that enters the shop floor.
  2. Employ our operators in more value-added tasks, such as inspections and process optimisation, and move non-value-added activities and repetitive task, such as motion or transportation, to the cobots.
  3. Increase operators’ ergonomics, which itself is one of our primary targets together with operator’s welfare and satisfaction. These latter should increase because the skills required to an operator will be brought to a higher level thus improving the interest for the job inside machining shop floor.
  4. In the long term, once the complete system will be deployed on the whole shop floor, we also expect a decrease in lead-time and quality losses.

SHAREWORK PROJECT DEPLOYMENT AT CEMBRE’S PLANT

We are currently implementing the Sharework project in the machining shop floor located in Brescia’s plant: production engineers, human resources and operators are all engaged. Most of them are new to this kind of projects and these technologies, aspects that makes Sharework especially challenging for the company. Regarding this, the contributions of the CNR, the Italian research centre, and of MCM, our technologic partner, are very important to us.

The role of people is fundamental to create deep connections between working conditions and technologies. In fact, one of the main challenges for the future is to understand how this new paradigm for the manufacturing systems could generate benefits to the entire production chain. Who if not humans could imagine this?

 

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UPTIME Newsletter - June 2020

Welcome to the 6th edition of the UPTIME Newsletter!

The UPTIME project has entered the evaluation phase. The prototype of the UPTIME Platform has been integrated into the three industrial business cases in its final configuration. In this edition, MAILLIS shares with us their first-hand experience and some lessons learned from the recent implementation of the UPTIME Platform in the MAILLIS Business Case, which deals with predictive maintenance in a cold rolling mill for the production of steel strapping.

In the previous newsletters, we introduced five of the UPTIME Platform’s main components. In this issue, we’ll present the last component prototype, UPTIME_VISUALIZE, which provides individual, customizable and configurable visualisation of data in a customer-oriented way. Its implementation in the MAILLIS Business Case is used as an example of how it works.

We have also been organising a series of webinars showcasing the main features of the UPTIME Platform including live demonstrations of their implementation in our industrial use cases. The first webinar on the implementation in the White Goods case was held on 19 March 2020. In case you missed it, you can find the webinar recording here.

The second webinar, “UPTIME Predictive Maintenance: Lessons Learned and Best Practices in the Steel Industry“, will take place on Thursday, 09 July 2020, 11:00 – 12:30 CEST. We hope you can join our webinar and look forward to interacting with you and getting your valuable feedback. To register and get more detailed information about the webinar, please click here.  We hope you enjoy our newsletter!

A full newsletter is available: https://www.uptime-h2020.eu/index.php/2020/06/26/uptime-6th-newsletter-edition-06-2020/

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CERTH explain their work in AI-enabled Cell-level perception methods

The objective of this task is to provide the envisaged robot with the ability to perceive the industrial environment so as to effectively collaborate with the humans and assist them with the Waste Electrical and Electronic (WEEE) device recycling process. Towards this direction, CERTH recorded multiple recycling procedures of four WEEE devices, namely PC Towers, Microwave Ovens, Flat Panel Displays and Emergency Lamps, focusing on the human-robot collaboration aspect during the WEEE device disassembly, thus creating a WEEE device component detection dataset by manually annotating a number of the recorded frames.

Given this dataset, CERTH deployed state of the art Computer Vision methods utilizing Deep Learning techniques in order to train a Convolutional Neural Network (CNN) capable of detecting the four WEEE devices as well as their respective components during the various stages of the disassembly process. Additionally, CERTH enhanced these methods by proposing an anchoring mechanism targeting specifically the detection of small objects.

https://www.hr-recycler.eu/certh-explains-their-work-in-ai-enabled-cell-level-perception-methods/

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Z-BRE4K Presentation video is online!

Have a look at Z-BRE4K presentation video and discover more on our Predictive Maintenance solutions!!

Link to: https://youtu.be/k1aZKtPpADQ

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EFFRA consultation Made In Europe Partnership

Currently, EFFRA carries out a consultation consisting of two main tracks.

  • One track aims at collecting the opinion of individual experts who respond on behalf of their organisation (or on behalf of a part of their organisation)

You can find more information about this consultation here.

  • The other track collects information from the perspective of finished or ongoing European Projects, in particular addressing Factories of the Future PPP projects, but not excluding other relevant projects.

You can find more information about this consultation here.

The deadline for the Made In Europe’s consultations is extended until 30 of June.

Stay up to date: https://www.effra.eu/made-in-europe-state-play

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UPTIME 2nd Live Webinar: Predictive Maintenance - Lessons Learned & Best Practices in Steel Industry - 9 July 2020

REGISTRATION

Date: Thu, 09 July 2020

Time: 11:00 - 12:30 CEST

 

Are all of the maintenance activities performed at a certain period of time necessary or can maintenance intervals be expanded in order to reduce the economic impact?

The UPTIME 2nd Webinar will address the key questions above and illustrate benefits of predictive maintenance by a concrete implementation in the Steel Industry. MAILLIS business case dealing with cold rolling mill for the production of steel strapping will be presented and its implementation in the UPTIME Platform will be demonstrated.

It is of outmost importance for manufacturing to have their machine or a piece of equipment that can tell its current health status and the degree to which that status deviates from normal or healthy along with predictions about its future health state, as well as actions recommendations. UPTIME will allow machines to perform self-assessment, on the basis of which decision making can be significantly enabled, to anticipate planned intervention on machines, to reduce unexpected breakdowns and delay other interventions, thus save money and improve safety.

The webinar is free of charge, dedicated to people who want to learn and see a concrete implementation of the UPTIME Predictive Maintenance Platform in a real business case. It is interactive, where you have the opportunity to ask questions to the experts panel and we are happy to receive your feedback.

If you have any questions or comments, please contact us.

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