
LUCAS VARITY GMBH
LUCAS VARITY GMBH
2 Projects, page 1 of 1
Open Access Mandate for Publications assignment_turned_in Project2016 - 2020Partners:University of Patras, CETRI, ITAINNOVA, FERSA BEARINGS, SA, STANDARD PROFIL SPAIN +16 partnersUniversity of Patras,CETRI,ITAINNOVA,FERSA BEARINGS, SA,STANDARD PROFIL SPAIN,ITAINNOVA,ZF Active Safety GmbH,FERSA BEARINGS, SA,STAM SRL,LUCAS VARITY GMBH,STANDARD PROFIL SPAIN,DAY ONE,DAY ONE,ZF Active Safety GmbH,IES,STAM SRL,IES,CETRI,STAM SRL,ECOLE CENTRALE DE NANTES,LUCAS VARITY GMBHFunder: European Commission Project Code: 723082Overall Budget: 5,063,830 EURFunder Contribution: 4,159,140 EURFacts: 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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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2011 - 2014Partners:ITAINNOVA, LUCAS VARITY GMBH, University of Surrey, ITAINNOVA, Škoda (Czechia) +15 partnersITAINNOVA,LUCAS VARITY GMBH,University of Surrey,ITAINNOVA,Škoda (Czechia),VIF,LAND ROVER,Škoda (Czechia),INVERTO NV,FUNDACION CIDAUT,VIF,FLANDERS' DRIVE CVBA-SO,Jaguar Land Rover (United Kingdom),Ilmenau University of Technology,INVERTO NV,FUNDACION CIDAUT,FLANDERS' DRIVE CVBA-SO,LUCAS VARITY GMBH,LAND ROVER,Jaguar Land Rover (United Kingdom)Funder: European Commission Project Code: 284708All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_______::651e28699100255a7b5b1f54d8f9c773&type=result"></script>'); --> </script>
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