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Simulation in Real Time for Manufacturing with Zero Defects

Project description

Paving the way for a future of optimised, zero-defect production

In today’s fast-paced manufacturing industry, the pursuit of zero-defect production and enhanced flexibility in production processes remains a formidable challenge for European manufacturers. One of the most promising solutions lies in the integration of simulation tools, measurement devices, and data analysis techniques. The EU-funded STREAM-0D project will provide this. Through real-time control, multi-physics simulation models predict product quality indicators based on critical input parameters with inherent variability. Reduced order modelling techniques will be used to enable real-time execution on portable devices, overcoming computational costs. Demonstrations in the automotive sector will validate STREAM-0D approach’s potential across diverse production methods, materials and processes. This project has the power to boost the competitiveness of European manufacturing.

Objective

Facts: i) Zero-defect manufacturing and flexibility of production processes are some of the main challenges for European manufacturing; ii) One of the engineering tools with higher potential is the linking of simulation tools with measurement devices for real-time control of applications. The huge potential of this synergistic loop remains untapped for manufacturing processes and could be used for reducing product variability, increase line flexibility and achieve zero defect production.
These objectives could be reached by integrating in the production line multi-physics simulation models, able to predict the product quality indicators in response to the values of critical input parameters (components dimensions, material properties, etc), which are unavoidably subject to variability: different batches, different suppliers,... The models will be fed with actual data from online measurements and, based on the model prediction, the critical steps of the line will be controlled to adjust the product to the exact design specifications or to quickly change specifications for producing customised batches. However, doing this in real time is not possible due to the computational cost of models.
Reduced Order Modelling is a new generation of techniques which allow us to obtain parametric solutions of complex models that can be particularized in real time for any value of the parameters. The models run so fast that they can be executed on tablets or smart phones. ROM will be used to transform complex models into the real-time capable models that can be integrated in the production line.
Moreover, the online deployment of ROMs and data gathering systems will generate big data which will be exploited through data analysis techniques for further improving the process.
The project will show proof-of-concept demonstrations in three real process chains of the automotive sector, covering different types of production methods, products, materials and manufacturing processes.

Call for proposal

H2020-IND-CE-2016-17

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Sub call

H2020-FOF-2016

Coordinator

INSTITUTO TECNOLOGICO DE ARAGON
Net EU contribution
€ 962 769,37
Address
MARIA DE LUNA 8
50018 Zaragoza
Spain

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Region
Noreste Aragón Zaragoza
Activity type
Research Organisations
Links
Total cost
€ 962 769,38

Participants (12)