EMC2-FACTORY | Eco Manufactured transportation means from Clean and Competitive Factory
01-10-2011
-30-09-2014
Projects overview
98 items found
PREMANUS | Product Remanufacturing Service System
01-09-2011
-30-06-2015
SIMPOSIUM | Simulation Platform for Non Destructive Evaluation of Structures and Materials
01-09-2011
-31-08-2014
THERMOBOT | Autonomous robotic system for thermo-graphic detection of cracks
01-01-2012
-31-12-2014
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EASE-R3 | Integrated framework for a cost-effective and ease of Repair, Renovation and Re-use of machine tools within modern factory
01-07-2013
-30-06-2016
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Comment:
Demonstrator 1 - RDSS Validation of Life Cycle Cost (LCC) analysis integrated with Reliability and Maintainability (R&M) simulation and Repair Decision Support System Tools/methods applies to evaluate the MTBF, MTTR and LCC of machines identified among end-users
NEXTFACTORY | All-in-one manufacturing platform for system in package and micromechatronic systems
01-09-2013
-31-08-2017
EUROC | European Robotics Challenges
01-01-2014
-31-12-2017
IMPROVE | Innovative Modeling Approaches for Production Systems to raise validatable efficiency
09-01-2015
-31-08-2018
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Comment:
Optimization algorithms can calculate better plant configurations. Thesting these new configurations in a real plant can be very cost intensive as production may be compromised during configuration and testing. A virtual environment which is able to simulate new parameters and verify them is a big deal as the running production is not compromised during testing and evaluation of new parameters.
The main focus of IMPROVE are learned models. Manual modeling of system models is not suitable for the complex, fast chaning industrial plants we have today. Lots of expert knowlege is needed to manually create a model. Learned models can be created using only data and little to no expert knowledge is required depending on the technology.
OPTIMISED | Operational Planning Tool Interfacing Manufacturing Integrated Simulations with Empirical Data
11-01-2015
-31-10-2018
COMPOSITION | Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation
01-09-2016
-31-08-2019
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Comment:
A Simulation and Forecasting Toolkit analyses the production processes and required resources in an integrated way and extracts forecasts for possible failures. Also forecasting is provided in supply chain and logistics, especially in fill level monitoring of bins and boosts the waste management and recycling processes. Sustainable manufacturing will be assisted by a Decision Support System. The Marketplace will enable dynamic integration with actors in the supply chain.
Result items:
ConnectedFactories | Industrial scenarios for connected factories
01-09-2016
-30-11-2019
SCALABLE4.0 | Scalable automation for flexible production systems
01-01-2017
-30-06-2020
5G-Ensure | 5G Enablers for Network and System Security and Resilience
01-11-2015
-31-10-2017
SERENA | VerSatilE plug-and-play platform enabling remote pREdictive mainteNAnce
01-10-2017
-31-03-2021
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Comment:
Digital models enahnced with real world data acquired from sensor devices will be used as the basis of physical phenomena that affect the operational condition of the equipment, such as degradation. THis will result in the improvement of the accuracy of the predictive maintenance functionalities of the SERENA platfrom and tools.
Z-BRE4K | Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories
01-10-2017
-31-03-2021
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Comment:
The modelling and simulation methods used in Z-BRE4K are mainly Finite Element Methods (FEM) where complex problems and processes from the real world are being simplified and solved using a numerical approach. First, an accurate digital model of the geometry and material properties of all involved objects, boundary conditions between these objects and process data is created (i.e. forces or temperature).
Then, the complex shape of all objects involved, is approximate using a finite number of simple geometries (i.e. triangles) which simplify the complex mathematical problem. A computer is capable of solving these mathematical operations at a rate impossible for humans and thus enables the user to analyse various scenarios, ranging from mechanical strains within the objects to rise in temperature or material fatigue. This information can be used to predict the remaining useful lifetime of a given tool.
Simulation platform is deployed by the physical equipment to create intuitive maintenance control and management systems. The Z-BRE4K’s platform simulation capabilities will estimate the remaining useful life calling for maintenance and suggesting the optimal times to place orders for spare parts, reducing the related costs. The increased predictability of the system and the failure prevention actions will reduce the number of failures, maximise the performance, reduce the repair/recover times reducing further the costs.
By applying time series analysis, we are able to detect special events that are known (Fault detection) or unknown (anomaly detection) during production. This information, correlated with sensor readings is fed into machine learning algorithms that create estimates of Remaining Useful Life (RUL), Health Indexes (HI) and forecast upcoming events (Likelihood of Failure). Special focus is given in techniques that can provide real-time information (Fast computation and high accuracy) as well as being scalable in order to use new data as it becomes available. Additional information such as meantime between failures based on historical data or an expert opinion, CAE data, quality control data, real time states etc. are also used to the design of machine simulators.
CloudiFacturing | Cloudification of Production Engineering for Predictive Digital Manufacturing
01-10-2017
-30-09-2021
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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.
ROSSINI | RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing
01-10-2018
-31-03-2022
QU4LITY | Digital Reality in Zero Defect Manufacturing
01-01-2019
-31-07-2022
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SodaLite | Interopérabilité des outils de simulation et d’optimisation des systèmes de production
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AI REGIO | Regions and DIHs alliance for AI-driven digital transformation of European Manufacturing SMEs
01-10-2020
-30-09-2023
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DAT4.ZERO | Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems
01-10-2020
-31-03-2024
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Result items:
Siemens Teamcenter, Process Simulate, PLCSIM Advanced, NX – The virtual commissioning system is based on Siemens’ suite of software solutions. This selection was based on the capabilities of the software itself, and on the use of Siemens hardware for the control of the demonstrator.
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Result items:
Siemens Teamcenter, Process Simulate, PLCSIM Advanced, NX – The virtual commissioning system is based on Siemens’ suite of software solutions. This selection was based on the capabilities of the software itself, and on the use of Siemens hardware for the control of the demonstrator.
MEGaFiT | Manufacturing Error-free Goods at First Time
01-12-2011
-30-11-2014
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Comment:
Each of the processes was developed using simulations. The simulations were used to develop control and investigate improvements. The additive manufacturing process as well as the micro-forming process was modeled using FEM methods. This to ensure first-time right development.
TAPAS | Robotics-enabled logistics and assistive services for the transformable factory of the future
01-10-2010
-30-03-2014
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System modelling - digital twins, simulation
DES-MOLD | Feature-Based Design and Modelling for Injection-molding Optimization
01-09-2012
-31-08-2015
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Comment:
Des-MOLD imply the development of a Geometry module : software to simplify the design of geometry to a set of primitives. It allows the system to compare designs.
Des-MOLD is an intelligent knowledge-based system which presents the use of different Artificial Intelligence techniques to develop a decision support system for designers of plastic parts. Our approach is based on computational argumentation (ARG) and case-based reasoning (CBR) to offer both a recommendation about the design and the reasoning process followed in order to select that solution. Given the geometry of the part, type of material, mould’s material and defects to be avoid, the system combines a knowledge-based system (KBS) based on past experiences with designers social debates for providing a set of recommendations, enabling to update the knowledge database by reusing and adapting solutions from previous designs.
Our approach is based on computational argumentation (ARG) and case-based reasoning (CBR) to offer both a recommendation about the design and the reasoning process followed in order to select that solution. Given the geometry of the part, type of material, mould’s material and defects to be avoid, the system combines a knowledge-based system (KBS) based on past experiences with designers social debates for providing a set of recommendations, enabling to update the knowledge database by reusing and adapting solutions from previous designs
DAPHNE | Development of adaptive ProductioN systems for Eco-efficient firing processes
01-10-2012
-30-09-2015
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System modelling - digital twins, simulation
SENSE AND REACT | Sense&React - The context-aware and user-centric information distribution system for manufacturing
01-10-2012
-29-02-2016
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Technologies and enablers
Engineering tools
System modelling - digital twins, simulation
PAN-ROBOTS | Plug And Navigate ROBOTS for smart factories
01-11-2012
-31-10-2015
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Technologies and enablers
Engineering tools
System modelling - digital twins, simulation
COMET | Plug-and-produce COmponents and METhods for adaptive control of industrial robots enabling cost effective, high precision manufacturing in factories of the future
01-09-2010
-28-02-2013
The BDSS provides a module for helping in the prediction of remanufacturing, recovering, recycling and/or disposal costs and the ROI that the organization might have for an after-sale.