CloudiFacturing | Cloudification of Production Engineering for Predictive Digital Manufacturing

Summary

Information and Communication Technology (ICT) is essential for the digitalization of the manufacturing sector; notwithstanding, less than 25% of the manufacturing companies in Europe profit from ICT-enabled solutions. In order to democratically boost the competitiveness of the European manufacturers (especially Small and Medium-sized Enterprises - SMEs), innovative solutions need to consider technological and commercial scalability from the beginning.

From this perspective, the cloudification of services has become the ideal enabler in the manufacturing digitalization. Successful European initiatives such us CloudFlow, cloudSME or Fortissimo have demonstrated the benefits of cloudification for engineering services, by means of combining HPC resources, computational tools, and cloud computing platforms.

Manufacturing SMEs are empowered to compute and solve problems that cannot be tackled without cloud and HPC technology, making them more competitive by reducing development times for innovative product with better performance.

The results of these initiatives are fostering the engineering and to some extend the prototyping processes within the manufacturing workflow; however, monitoring and optimizing production processes have not yet greatly benefited from an integrated information workflow and simulation loop based on on-line factory data.

The core partners of CloudFlow (eu-cloudflow.eu) and cloudSME (cloudsme.eu) are joining forces to leverage factory data with cloud-based engineering tools:

  • paving the way toward manufacturing analytics,
  • enriching the manufacturing engineering process with on-line data, and
  • simulating and optimizing the production process with the vision to support it in real-time.

The consolidated platform between CloudFlow and cloudSME with extended capabilities to process factory data is going to be accessed through a central interface, enabling the stakeholders to interact, and collaborate.

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Demonstrators, pilots, prototypes
Demonstrator (project outcome type)
Industrial pilot or use case
Result items:

Creating a numerical model of whole water quench with all necessary details and containing all physical processes are the challenges to be faced. Guidelines for operational conditions of quenching machine based on various inputs, such as profile shape and temperatures, will be derived by elaborating a numerical model of quenching process, carrying out CFD simulation using HPC resources and validating the reliability of simulation results by physical experiments.

More information & hyperlinks
Web resources: https://www.cloudifacturing.eu/
https://cordis.europa.eu/project/id/768892
Start date: 01-10-2017
End date: 30-09-2021
Total budget - Public funding: 9 712 983,00 Euro - 8 712 521,00 Euro
Twitter: @CloudiFacturing
Cordis data

Original description

Information and Communication Technology (ICT) is essential for the digitalization of the manufacturing sector; notwithstanding, less than 25% of the manufacturing companies in Europe profit from ICT-enabled solutions. In order to democratically boost the competitiveness of the European manufacturers (especially Small and Medium-sized Enterprises - SMEs), innovative solutions need to consider technological and commercial scalability from the beginning. From this perspective, the cloudification of services has become the ideal enabler in the manufacturing digitalization. Successful European initiatives such us CloudFlow, cloudSME or Fortissimo have demonstrated the benefits of cloudification for engineering services, by means of combining HPC resources, computational tools, and cloud computing platforms. Manufacturing SMEs are empowered to compute and solve problems that cannot be tackled without cloud and HPC technology, making them more competitive by reducing development times for innovative product with better performance. The results of these initiatives are fostering the engineering and to some extend the prototyping processes within the manufacturing workflow; however, monitoring and optimizing production processes have not yet greatly benefited from an integrated information workflow and simulation loop based on on-line factory data.
The core partners of CloudFlow (eu-cloudflow.eu) and cloudSME (cloudsme.eu) are joining forces to leverage factory data with cloud-based engineering tools:
a) paving the way toward manufacturing analytics,
b) enriching the manufacturing engineering process with on-line data, and
c) simulating and optimizing the production process with the vision to support it in real-time.
The consolidated platform between CloudFlow and cloudSME with extended capabilities to process factory data is going to be accessed through a central interface, enabling the stakeholders to interact, and collaborate.

Status

CLOSED

Call topic

FOF-12-2017

Update Date

27-10-2022
Geographical location(s)
Structured mapping
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Factories of the Future Partnership - Made in Europe Partnership

H2020 - Factories of the Future
H2020-FOF-2017
FOF-12-2017 ICT Innovation for Manufacturing SMEs (I4MS)
Demonstrator (project outcome type)
Industrial pilot or use case
Result items:

Creating a numerical model of whole water quench with all necessary details and containing all physical processes are the challenges to be faced. Guidelines for operational conditions of quenching machine based on various inputs, such as profile shape and temperatures, will be derived by elaborating a numerical model of quenching process, carrying out CFD simulation using HPC resources and validating the reliability of simulation results by physical experiments.

Significant innovations and achievements
Result items:

CETMA was able to exploit the possibilities that customized simulation offers to SME’s specialized in boat hulls manufacturing. Thanks to cloud resources, enough power computing is available to analyze different scenarios in a few days instead of several weeks.
Designers of CATMARINE and SKA are now able to achieve high-quality products by analyzing different manufacturing scenarios without wasting time, money and material. The platform is able to optimize the resin injections points/vents and verify the presence of defects in the final product, thus ensuring a complete and correct mold-filling.

https://www.cloudifacturing.eu/experiment2outcome/

Tools developed and deployed on CloudiFacturing platform during this experiment allow end-users who operate water quenches to derive operational conditions of the water quench and thus, increase precision and repeatability of the process and decrease its dependence on the experience of the operator. The outcomes of the experiment also bring new knowledge to the whole process. Additionally, the developed technologies allow using numerical modeling and simulation in the design of a new generation of water quenches and their components.

The realized progress advances the state of the art in several aspects:                                               

  • Electric machine design process including electromagnetic finite element computation, winding design, and post-processing are available on a pay-per-use basis as a cloud solution. To the knowledge of the experiment partners, such a solution has never before been presented.
  • Seamless, automated creation of production data avoids data handover errors and provides fast transition from simulation and design to manufacturing of motor prototypes. The full parametric manner of realization also provides a feature never available before.
  • The capability to bring a customer requirement in the form of a motor specification to a fully functional motor prototype within one week is a revolutionary USP for Hanning. Despite the fact that this capability still needs to be demonstrated in real life, the steps taken into this direction have greatly improved Hanning’s process know-how and agility.
Significance of the results for SMEs
Result items:

A recent study addressed that VARTM is among the fastest growing technology in the composite industry.
The cloud-based solution will reduce the cost of entering VARTM technology by 40% to 60%. This will lead to wider adoption of the technology with significant advantages in terms of quality, repeatability, and reduction of environmental and safety impact for many SMEs around the EU.
In addition to this, affordable simulations will lead to fast prototyping, experimentation, and bolder design.

From a business point of view, this project allowed CATMARINE to reduce its Time To Market (TTM), reduce its process design cost and material waste. Looking in perspective, this technology will allow the shipyard to offer its customer innovative solutions, especially in the building of complex geometry and expansive material as carbon fiber and epoxy resin.

For SKA, VARTM simulation will be a new service to add to its catalog as for FEM analysis.

"In our field, it is no simple task to find a partner who is not only a top expert in a given field but also able to take initiative in finding innovative solutions. It is only in more challenging situations
when cooperation with real professionals is genuinely appreciated. CloudiFacturing project has certainly been the right choice", Ondřej Tůma, Managing Director, FERRAM STROJÍRNA s.r.o.

The establishment of the cloud cluster solution for running SyMSpace has greatly improved the engineering capacity of LCM which no longer includes the bottleneck of local computation resources. Being able to reserve as many cloud computing resources as necessary at any given time takes away the need to invest into hardware and maintenance just for covering peak loads. This means a great improvement of customer satisfaction.

Additionally, already five industrial partners are testing SyMSpace on a pay-per-use basis in the cloud. The main USPs are the low barrier for access (no upfront costs, no long-time installation, etc.) and the low total costs.

A certain interest has also been coming from academic players. As SyMSpace will see an open source release in the near future, this seems to be an interesting opportunity to run and eventually publish or contribute own algorithms from the academic research around electric machines. With the help of the cloud solution, the access barrier for remote partners has completely fallen away: beginning of September 2018, the solution was presented to a partner at the WEMPEC consortium at University of Madison, Wisconsin who is considering applying the SyMSpace cloud solution for research in magnetic bearings.

This example shows how the international contact, also across research areas has been facilitated using the cloud cluster solution of SyMSpace. This is an important driver for the innovation potential at LCM which, as a trans-academic-industrial player heavily relies on close contacts with other research institutions.

The demonstration of the faster and more reliable prototyping production process is expected to be a major improvement both internally and externally at Hanning. However, due to the delays and difficulties experienced in the implementation of the winding process, this step still needs to be realized. The potential, however, is impressive as demonstrated in the KPI metrics below.

 

 

Table 12: experiment 1 impact summary

Lessons learned
Result items:

The combined use of a simulation solution based on a numerical model and of remote HPC resources has allowed the development of a new design and development process of catamaran hulls.

The solution, which relies on Cloudifacturing platform, gives two kinds of advantages. Technically, more efficient and less defect-prone processes can be conceived and analyzed before their adoption. From an economic point of view, SME can afford the use of HPC resources without heavy investments.

"Thanks to the CloudiFacturing technology we can now take a look inside the VARTM process and switch our manufacturing process to a more safe, reliable and cheaper one", Gabriele Totisco, Catmarine CEO.

The experiment setup was well prepared and discussed by the experiment partners LCM and Hanning. The implementation of the solution in the CloudiFacturing Marketplace, however, was unclear and needed significant efforts during the early stages of the experiment. This partly concerned the technical solution and partly was felt in the definition and in conveying the experiment structure to the consortium.

While this has added some unplanned efforts to the experiment which then reduced the time available for the practical implementations, the cause seems quite unavoidable for wave 1 of the experiments since the development of the Marketplace happened in parallel to the experiments. This situation will, therefore, automatically improve for the experiments in wave 2.

Publication
Result items:
Innovation Action (IA)
Validation experiments - equipment assessments (I4MS)

Project clusters are groups of projects that cooperate by organising events, generating joint papers, etc...

Validation experiments - equipment assessments (I4MS)
FOF-12-2017 ICT Innovation for Manufacturing SMEs (I4MS)
Standards
Comment:

.

Economic sustainability
Comment:

.

Result items:

It is expected that new nozzle design and thus new water quench will be available for the customers in 5 years time. It is expected that those new products will attract new clients: 5 new contracts in 1 year increasing to 10 new contracts in 5 years, which will increase the turnover of Ferram by 500k Euros in 1 year and 3,5 million Euros in 5 years after the experiment end.

IT4Innovations as DIH and resource provider is expecting the experiment to increase their innovation potential and improve their competitiveness. They are also expecting to increase the number of customers: It is expected that 2 new customers will be attracted due to new capabilities within 5 years after the experiment and will create new sources of revenue.

Supply chain and value network efficiency
Comment:

More efficient business processes

Environmental sustainability
Material efficiency
Comment:

.

Reducing emissions in manufacturing processes
Reduction of CO2 emissions (in %)
10
Comment:

The cloud-based optimisation of lamination oven’s configuration will lead to the following significant impacts: saving in energy consumption will result in saving of 18,000 kWh a year (short-term) and it will reach 27,000 kWh a year (medium-term). These figures can be multiplied by three in the long term because EndeF is going to build two new ovens. EndeF will drop CO2 emissions by 4,500 kg CO2eq and by 6750 kg CO2eq a year (short- and medium-term).

Reducing the consumption of energy
Comment:

.

Reduction of energy consumption (in %)
20
Comment:

Hydal, as end user, will benefit from optimized process of water quenching by saving energy and scrap material and by having shorter turnover time as well. Expected economic impact is estimated 100 K€ a year on energy savings alone. Expected economic impact is estimated on 500 000 Euros on in turnover increase in first year after the experiment. This value will rise to the 2 million of euro after 5 years from the experiment.

Reducing the consumption of water and other process resources.
Comment:

.

Social sustainability
Comment:

Increase in Employment

Increasing human achievements in manufacturing systems
Result items:

For end user Ferram, it is expected that the experiment will increase in the turnover and in the number of new jobs created. Outcomes of the experiment will allow Ferram to develop a new generation of water quenches which allow for heat treatment of profiles that are hard or even impossible to cool down with existing water quenches today. This will bring a competitive advantage to Ferram and thus increase the number of customers.

Occupational safety and health
Comment:

Increase in business practice

Information and communication technologies
Data collection, storage, analytics, processing and AI
Data spaces
Digital manufacturing platforms - data platforms
Engineering tools
System modelling - digital twins, simulation
Comment:

CloudiFacturing will extend the field of action of the technology developed in CloudFlow and CloudSME from the product development process to the production process, in order to leverage factory data with analytics algorithms and simulation tools

Result items:

Thanks to cloud resources, enough power computing is available to analyze different scenarios in a few days instead of several weeks.
Designers of CATMARINE and SKA are now able to achieve high-quality products by analyzing different manufacturing scenarios without wasting time, money and material.

The platform is able to optimize the resin injections points/vents and verify the presence of defects in the final product, thus ensuring a complete and correct mold-filling.

Outcomes of the project creates base for the improvement of the existing design of the water quench and will be used for the development of the new generation of the nozzles.

It is expected that new nozzle design and thus new water quench will be available for the customers in 5 years time. It is expected that those new products will attract new clients: 5 new contracts in 1 year increasing to 10 new contracts in 5 years, which will increase the turnover of Ferram by 500k Euros in 1 year and 3,5 million Euros in 5 years after the experiment end.

Manufacturing the products of the future
Complex structures, geometries and scale
Comment:

Optimize production processes and producibility  using Cloud/HPC-based modelling and simulation, leveraging online factury data and advanced data analytics, thus contributing to the competitiveness and resource efficiency of manufacturing SMEs.

Resource efficient, sustainable products
Comment:

Manufacturing SMEs are empowered to compute and solve problems that cannot be tackled without Cloud and HPC technology, making them more competitive by reducing development times for innovative products with better performance.

Added value - impact - value proposition
Result items:

"Thanks to the CloudiFacturing technology we can now take a look inside the VARTM process and switch our manufacturing process to a more safe, reliable and cheaper one", Gabriele Totisco, Catmarine CEO.

C MANUFACTURING
Result items:
  1. simulate and optimize manufacturing processes or manufacturing tools,
  2. leverage factory data to learn from it, and
  3. optimize manufacturing processes and/or manufacturability of goods.

 

C27 Manufacture of electrical equipment
Result items:

Manufacturer of customer specific electrical drive systems

K TELECOMMUNICATION, COMPUTER PROGRAMMING, CONSULTING, COMPUTING INFRASTRUCTURE AND OTHER INFORMATION SERVICE ACTIVITIES
Result items:

In this experiment, CETMA developed a simulation solution, based on a specialized numerical model, to predict the flow of the resin during the production of a composite part, such as a catamaran hull, using the Vacuum Assisted Resin Transfer Molding (VARTM) process.

Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
H2020-EU.2.1.1.0. INDUSTRIAL LEADERSHIP - ICT - Cross-cutting calls
H2020-FOF-2017
FOF-12-2017 ICT Innovation for Manufacturing SMEs (I4MS)