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Simulation in Real Time for Manufacturing with Zero Defects

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 wi... ver más

30/09/2020

INSTITUTO TECNOLOG...

5M€

Presupuesto del proyecto: 5M€

Líder del proyecto

INSTITUTO TECNOLOGICO DE ARAGON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5 | 130K€

Fecha límite participación Sin fecha límite de participación.

Ver 13 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-09-30

FOF-03-2016: Zero-defect strategies at system le... Specific Challenge:The current trend in multi-stage manufacturing is towards more complex, distribut...

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13 Participantes

INSTITUTO TECNOLOGICO DE ARA...

962.77K€ | Lider

ECOLE CENTRALE DE NANTES

503.57K€ | Participante

TRW BRAKING SYSTEMS POLSKA S...

112.00K€ | Participante

FERSABEARINGS

212.19K€ | Participante

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Duración del proyecto: 51 meses Fecha Inicio: 2016-06-30
Fecha Fin: 2020-09-30

Líder del proyecto

INSTITUTO TECNOLOGICO DE ARAGON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5 | 130K€

Presupuesto del proyecto 5M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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