The NextFactory consortium will bring together a multidisciplinary group of leading edge SMEs and academic partners respectively contributing expertise in the new manufacturing technologies and the different application fields.
The multidisciplinary and deeply integrated R&D activities in NextFactory are covered by 9 workpackages. Please click on the individual partner to find out more
Christopher Bailey, Timothy Tilford and Stoyan Stoyanov from the University of Greenwich will develop parametric multi-physics models that will simulate the behaviour of materials when subjected to different process conditions. Results from these models will be used by partners to optimise the design of the process and the materials used. In addition to this, they will develop surrogate models which together with machine learning algorithms will be embedded into software to monitor product quality as a function of measured process parameters. Together with the 3D-vision system and sensors, this software will be part of the on-line monitoring and quality inspection system developed within the project.
They are keen to develop multi-physics models that can predict the behaviour of inks (conductive and noconductive)and other materials in the 3D inkjet printing and micro-component assembly processes. They will develop surrogate models and embed these, together with machine learning algorithms, into software libraries that will form part on the on-line monitoring and inspection system. These innovations have the potential to go much further than NextFactory as they can help open up whole new markets for 3D inkjet printing in advanced manufacturing.