Objective
LAY2FORM will create a new cost-effective multistage manufacturing platform based on flexible machinery concepts, cognitive automation, inline monitoring and inspection, as well as simulation and modelling, enabling the efficient integration of unconventional technologies (laser and ultrasound) in established composites-based processes, namely tape-laying and hot-forming, to enable the production of multifunctional 3D hybrid parts from thin layered metals and thermoplastic-matrix composites. Framed by an end-to-end engineering approach, LAY2FORM will shorten the design and manufacturing cycle time and improve reliability, presenting a substantial potential to, in the middle term, turn the manufacturing of complex and intricate hybrid composite-metal parts highly cost competitive. The enhanced LAY2FORM manufacturing system will be a system of systems, containing the enabling process modules and digital sub-systems to create a continuous and automated manufacturing chain. Moreover, LAY2FORM will apply an integrated and systemic approach to implement full manufacturing routes and create new value chains, from materials conditioning to materials disassembly, being a robust basis for the efficient production of hybrid lightweight structures. The multidisciplinary approach proposed in LAY2FORM comprises a complex interconnection of leading R&I topics to develop an industrially-feasible and competitive manufacturing platform, compatible with the Industry 4.0 vision.
Fields of science
- social sciencessocial and economic geographytransport
- natural sciencesphysical sciencesopticslaser physics
- engineering and technologymaterials engineeringcoating and films
- engineering and technologymaterials engineeringcomposites
- natural scienceschemical sciencesinorganic chemistrymetals
- social sciencessociologyindustrial relationsautomation
- natural sciencescomputer and information sciencesdata sciencedata exchange
Call for proposal
H2020-FOF-2017
See other projects for this call
Funding Scheme
RIA - Research and Innovation actionCoordinator
4200 465 Porto
Portugal
Participants (10)
20500 Arrasate Mondragon
36410 Porrino
33600 Pessac
94528 Rungis
78315 Radolfzell Am Bodensee
4031 Angleur
4465 Matosinhos, Porto
Participation ended
33428 Llanera Asturias
08940 Cornella De Llobregat
33429 Siero