
VDL WEWELER BV
VDL WEWELER BV
2 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2022 - 2025Partners:MSI, F6S IE, University of Patras, Vidrala, VW Autoeuropa +27 partnersMSI,F6S IE,University of Patras,Vidrala,VW Autoeuropa,VDL WEWELER BV,Induction,UPORTO,SONAE,AIMEN,INTRASOFT International,F6S IE,COMETA SPA,U-SENSE.IT SRL,TECNALIA,HABBER TEC,HABBER TEC,VW Autoeuropa,COMETA SPA,U-SENSE.IT SRL,Marche Polytechnic University,IPB,VDL WEWELER BV,TECNALIA,APTIV ITALY,INTRASOFT International,SONAE,AIMEN,APTIV ITALY,MSI,Vidrala,InductionFunder: European Commission Project Code: 101058673Overall Budget: 10,875,900 EURFunder Contribution: 8,268,150 EURThis project addresses the challenge of mfg industry to deliver high-quality products at the necessary production rates while minimizing waste and energy consumption, maximizing efficiency and ROI. openZDM project is an Innovation Action that will develop and demonstrate in 5 representative production lines an open platform designed to realize ZDM. The platform integrates advanced ICT solutions & innovative non-destructive testing, setting the foundations for an innovative solution applicable to a large variety of mfg industries. The 5 pilots represent the largest part of the EU's manufacturing sector, geographically (including plants in northern and southern areas of Europe), technologically (fully & semi automated, and manual processes) and from their value chain positioning (including Tier 1, Tier 2 suppliers, technology suppliers and OEMs). Furthermore, the choice of partners has been done considering strategic sectors for the green transition, in particular two energy intensive production processes (glass bottles, steel suspension arms), one process strategic for the electrification (production of batteries), one process consuming renewable materials (wood based panels) and one highly digitalized automotive assembly plant. The project aims to develop a digital platform that builds on the state-of-the-art RAMI 4.0 and Asset Administration Shell (AAS) to implement intra-factory quality management practices, applicable to these different production environments. In addition several non-destructive inspection (NDI) methods and data-driven quality assessment techniques are considered for online defect identification and quality assessment, distributed at various stages along the manufacturing line. Finally, the Digital Twin and the related services is a key enabling technology for online process adaptation & prediction/prevention of defects, to achieve waste reduction and improved efficiency, aiming to significantly improve the production sustainability of CPPSs.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2017 - 2020Partners:EISI, ENGINEERING - INGEGNERIA INFORMATICA SPA, FHG, WHIRLPOOL EMEA SPA, University of Patras +20 partnersEISI,ENGINEERING - INGEGNERIA INFORMATICA SPA,FHG,WHIRLPOOL EMEA SPA,University of Patras,FP,KONE INDUSTRIAL LTD,OCULAVIS GMBH,COMETA SPA,FP,SYNAREA CONSULTANTS SRL,VDL WEWELER BV,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,EISI,KONE INDUSTRIAL LTD,COMETA SPA,ENGINEERING - INGEGNERIA INFORMATICA SPA,WHIRLPOOL EMEA SPA,Trimek (Spain),OCULAVIS GMBH,SYNAREA CONSULTANTS SRL,POLITO,VDL WEWELER BV,Trimek (Spain)Funder: European Commission Project Code: 767561Overall Budget: 6,929,210 EURFunder Contribution: 5,506,490 EURThe growing complexity of modern engineering systems and manufacturing processes is an obstacle to concept and implement Intelligent Manufacturing Systems (IMS) and keep these systems operating at high levels of reliability. Additionally, the number of sensors and the amount of data gathered on the factory floor constantly increases. This opens the vision of truly connected production processes where all machinery data are accessible allowing easier maintenance of them in case of unexpected events. SERENA project will build upon these needs for saving time and money, minimizing the costly production downtimes. The proposed solutions are covering the requirements for versatility, transferability, remote monitoring and control by a) a plug-and-play cloud based communication platform for managing the data and data processing remotely, b) advanced IoT system and smart devices for data collection and monitoring of machinery conditions, c) artificial intelligence methods for predictive maintenance (data analytics, machine learning) and planning of maintenance and production activities, d) AR based technologies for supporting the human operator for maintenance activities and monitoring of the production machinery status. SERENA represents a powerful platform to aid manufacturers in easing their maintenance burdens and for this purpose will be applied in different applications. More specifically, SERENA project will focus on advancing the TRL of the existing developments into levels TRL5 to TRL7. For this purpose, SERENA consortium will fully demonstrate the proposed approach in different industrial areas (white goods, metrological engineering and elevators production) and investigate applicability in steel parts production industry (extended-demonstration activities) checking the link to other industries (automotive, aerospace etc.) showing the versatile character of the project.
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