
GFMS ADVMAN
GFMS ADVMAN
5 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2017 - 2021Partners:MAN ENERGY SOLUTIONS SE, SENSOFAR, GFMS ADVMAN, SC, AGIE CHARMILLES NEW TECHNOLOGIES SA +7 partnersMAN ENERGY SOLUTIONS SE,SENSOFAR,GFMS ADVMAN,SC,AGIE CHARMILLES NEW TECHNOLOGIES SA,MTC,SIMTEC,FHG,UNILEVER U.K. CENTRAL RESOURCES LIMITED,JJVCI,ATS APPLIED TECH SYSTEMS LTD,Heriot-Watt UniversityFunder: European Commission Project Code: 768701Overall Budget: 4,434,350 EURFunder Contribution: 4,434,350 EURSHARK will unlock the potential for laser texturing for the generation of functional surfaces by boosting the productivity, efficiency and flexibility of the process. This will provide the European industry with a highly robust, cost effective and environmentally friendly system that is capable of producing a broad range of functional surfaces at industrial scale throughputs, and place Europe in an unassailable lead in this key area of manufacturing. SHARK will advance laser surface texturing from the current ‘trial and error’, lab-scale concept into a highly predictable, data driven industrial approach by developing a digitally enabled knowledge management platform with a comprehensive database of process parameters and functionalities. SHARK system will be configured as an Open-platform independent of the laser source manufacturers, which for long, has been one of the main limitations for the process. SHARK’s system will be underpinned by a number of technology advances. Two laser surface texturing technologies will be developed, both based upon nanosecond fibre lasers. Pseudo Random laser texturing and Direct Laser Interference Patterning will be employed, offering complementary techniques to yield a highly flexible tool capable of delivering wide range of functional surfaces with exceptional productivity and excellent process efficiency. The project will develop surface texture predictive modelling to rapidly define key process variables required for specific surface functionalities. This will be combined with inline surface characterisation to enable rapid feedback and inbuilt quality assurance. The project will deliver the following benefits: • The capability to deliver surface functionalities into real products for less than 10% of the cost of the conventional part • Greater than 20% improvement in product performance based on the surface functionalities deployed. • Accelerated product development • Strengthened global position of European manufacturing
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2017 - 2021Partners:BSH, EUROORTODONCIA S.L., LETI, ALICONA IMAGING GMBH, CRF +7 partnersBSH,EUROORTODONCIA S.L.,LETI,ALICONA IMAGING GMBH,CRF,Wavestone,University of Bradford,AGIE CHARMILLES NEW TECHNOLOGIES SA,GFMS ADVMAN,IPC,ALBEA SERVICES,University of BirminghamFunder: European Commission Project Code: 766871Overall Budget: 4,679,770 EURFunder Contribution: 4,679,770 EURNobel Prize winner W. E. Pauli warned, “God made the bulk, surfaces were invented by the Devil”. Surface properties must be controlled and modified to satisfy demanding engineering requirements for sectors as diverse as consumer appliances, packaging, automotive, aerospace, and energy. The mass manufacture of functional surfaces is currently achieved via the application of expensive coatings, which can have proven harmful consequences on the environment. HIMALAIA proposes the first up-scalable, adaptable, industrially relevant, cost-effective manufacturing platform that would allow the mass-production of high-performing functional micron and sub-micron structured surfaces on 3D and/or large polymer parts with antimicrobial, anti-scratch, anti-squeak, self-cleaning and aesthetic properties without coatings. Latest advances in laser surface patterning/texturing, particle self-assembly for photonic nanojet patterning, and surface engineering of injection moulds at TRL4 will be combined and brought to TRL6 for the efficient and flexible micro / nano-structuration of large, 3D mould cavities. These moulds will allow mass production of parts with functional surfaces via injection moulding. This process will be developed with great strides made notably on the modelling of structure-function relationships and on the demoulding step. Finally, in-line, model-based inspection of surface topographies and functionalities will be developed and implemented on the platform. Results will be supported by Life-Cycle Analysis, project management, dissemination and IP/innovation management to ensure the economic sustainability and the European deployment of the platform towards 2030. HIMALAIA will validate the efficiency and flexibility of the manufacturing platform through three high impact industrials demonstrators in different sectors: orthodontics (EO), cosmetic packaging (Albea) and automotive (CRF). Clear scientific, exploitation and business plans are presented.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications assignment_turned_in Project2016 - 2019Partners:Siemens (Germany), PICASOFT, MTC, FHG, WEIR GROUP +9 partnersSiemens (Germany),PICASOFT,MTC,FHG,WEIR GROUP,GFMS ADVMAN,GUDEL AG,ESI (Germany),TWI LIMITED,EWF,ESI (France),BCT STEUERUNGS UND DV-SYSTEME GMBH,CRF,HYBRID MANUFACTURING TECHNOLOGIES LIMITEDFunder: European Commission Project Code: 723917Overall Budget: 6,643,720 EURFunder Contribution: 5,133,380 EURThe OPENHYBRID project will overcome the technical and commercial barriers of current hybrid manufacturing systems to deliver a single manufacturing system capable of undertaking a wider range of processes in a seamless automated operation. The new system will offer unrivalled flexibility in terms of materials, including the ability to switch between powder and wire feed-stock within a single part. Moreover the process can be fitted to a diverse range of platform to produce parts from 2cm to 20m in length. The capability of the OPENHYBRID approach will be validated through the production of industrial demonstrators from the power generation, automotive and mining equipment sectors
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2019 - 2022Partners:Technische Universität Braunschweig, CONSORZIO INTELLIMECH, Airbus (India), AGIE CHARMILLES NEW TECHNOLOGIES SA, MONDRAGON CORPORACION COOPERATIVA SCOOP +45 partnersTechnische Universität Braunschweig,CONSORZIO INTELLIMECH,Airbus (India),AGIE CHARMILLES NEW TECHNOLOGIES SA,MONDRAGON CORPORACION COOPERATIVA SCOOP,Unimetrik (Spain),FHG,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,Continental,Telefonica Research and Development,ERPC,RIA STONE,FAGOR ARRASATE S COOP,TNO,ASTI,SINTEF AS,ATLANTIS ENGINEERING,PCL,GFMS ADVMAN,Siemens (Germany),INTERNATIONAL DATA SPACES ASSOCIATION IDSA,PACE GmbH,TTS TECHNOLOGY TRANSFER SYSTEMS SRL,LETI,Polytechnic University of Milan,TTTECH INDUSTRIAL AUTOMATION AG,TTTech Computertechnik (Austria),EIT DIGITAL,GHI HORNOS INDUSTRIALES, SL,Kolektor Group d.o.o.,SYNESIS,ATB,IPS,PRIMA INDUSTRIE SPA,EPFL,Unparallel Innovation (Portugal),DANOBAT,NXT,ENGINEERING - INGEGNERIA INFORMATICA SPA,INNOVALIA,SQS,Beko Europe Management,AIT,TU Dortmund University,THYSSENKRUPP PRESTA FRANCE SAS,WHIRLPOOL EMEA SPA,INTRASOFT International,ATOS SPAIN SA,FUNDACION AIC AUTOMOTIVE INTELLIGENCE CENTER FUNDAZIOA,Visual Components (Finland)Funder: European Commission Project Code: 825030Overall Budget: 19,668,500 EURFunder Contribution: 15,998,200 EURQU4LITY will demonstrate, in a realistic, measurable, and replicable way an open, certifiable and highly standardised, SME-friendly and transformative shared data-driven ZDM product and service model for Factory 4.0 through 5 strategic ZDM plug & control lighthouse equipment pilots and 9 production lighthouse facility pilots. QU4LITY will also demonstrate how European industry can build unique and highly tailored ZDM strategies and competitive advantages (significantly increase operational efficiency, scrap reduction, prescriptive quality management, energy efficiency, defect propagation avoidance and improved smart product customer experience, and foster new digital business models; e.g. outcome-based and product servitisation) through an orchestrated open platforms ecosystem, ZDM atomized components and digital enablers (Industry 4.0 digital connectivity & edge computing package, plug & control autonomous manufacturing equipment, real-time data spaces for process monitoring & adaptation, simulation data spaces for digital process twin continuity, AI-powered analytic data spaces for cognitive digital control twin composable services, augmented worker interventions, European quality data marketplace) across all phases of product and process lifecycle (engineering, planning, operation and production) building upon the QU4LITY autonomous quality model to meet the Industry 4.0 ZDM challenges (cost and time effective brownfield ZDM deployment, flexible ZDM strategy design & adaptation, agile operation of zero defect processes & products, zero break down sustainable manufacturing process operation and human centred manufacturing).
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications assignment_turned_in Project2018 - 2020Partners:Chalmers University of Technology, PHILIPS ELECTRONICS NEDERLAND B.V., WHIRLPOOL EMEA SPA, VW Autoeuropa, IT'S OWL CLUSTERMANAGEMENT GMBH +49 partnersChalmers University of Technology,PHILIPS ELECTRONICS NEDERLAND B.V.,WHIRLPOOL EMEA SPA,VW Autoeuropa,IT'S OWL CLUSTERMANAGEMENT GMBH,University of Bonn,EPFL,University of Hannover,INTRASOFT International,ENEO,FHG,Trimek (Spain),Unparallel Innovation (Portugal),Telefonica Research and Development,FILL,VTC,SQS,CRF,AGIE CHARMILLES NEW TECHNOLOGIES SA,University of Edinburgh,VW AG,CAPVIDIA,CERTH,I2CAT,SIEMENS SPA,BENTELER AUTOMOTIVE,DOMINA,RISC SOFTWARE GMBH,TTTech Computertechnik (Austria),TTTECH INDUSTRIAL AUTOMATION AG,CARSA,UNINOVA,UTRC,RIA STONE,IMT,ESI (France),PCL,ERCIM,ATLANTIS ENGINEERING,FIWARE,Piacenza Cashmere (Italy),Polytechnic University of Milan,ASTI,INNOVALIA,IBM ISRAEL,SAS INSTITUTE SRL,Visual Components (Finland),GESTAMP SERVICIOS SA,ATB,IMEC,PRIMA INDUSTRIE SPA,GFMS ADVMAN,INTERNATIONAL DATA SPACES ASSOCIATION IDSA,NEMAK LINZ GMBHFunder: European Commission Project Code: 780732Overall Budget: 18,613,700 EURFunder Contribution: 14,983,500 EUREFFRA recommendations on Factories 4.0 and Beyond (Sept 2016) clearly stated the need for development of large scale experimentation and demonstration of data-driven “connected smart” Factories 4.0, to retain European manufacturing competitiveness. BOOST 4.0 will address this need, by demonstrating in a measurable and replicable way, an open standardised and transformative shared data-driven Factory 4.0 model through 10 lighthouse factories. BOOST 4.0 will also demonstrate how European industry can build unique strategies and competitive advantages through big data across all phases of product and process lifecycle (engineering, planning, operation, production and after-market services) building upon the connected smart Factory 4.0 model to meet the Industry 4.0 challenges (lot size one distributed manufacturing, operation of zero defect processes & products, zero break down sustainable operations, agile customer-driven manufacturing value network management and human centred manufacturing). Our chief objectives include: (1) Establish 10 big data lighthouse smart connected factories (VW, FILL, AutoEuropa, +GF+, FIAT, Phillips, Volvo, GESTAMP, Benteler, Whirlpool). (2) Provide the RAMI 4.0 and IDS based BOOST 4.0 open EU framework and governance model, for both services and data assets. (3) Put together methodologies, assets, models and communities in order to maximise visibility, mobilization, replication potential, and impact (business, financial, standardization) of BOOST 4.0 The investment leveraging factor of BOOST 4.0 will be well above the 4:1 ratio, up to 10:1. In terms of exploitation, in 5-years horizon after the project end, just only the participating lighthouse factories will make a direct follow-on investment above 33Meuro (ROI 10,61), while the commercialisation of the BOOST 4.0 products in the market is expected to generate some 96Meuro cumulative profits (ROI 4,73) for the rest of the partners.
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