Record #207071 - GSI Repository

SHARK

Laser surface engineering for new and enhanced functional performance with digitally enabled knowledge base

Coordinator	Unilever UK Central Resources Ltd ; Manufacturing Technology Centre ; AGIE CHARMILLES NEW TECHNOLOGIES SA ; SANDVIK COROMANT AB ; JOHNSON & JOHNSON VISION CARE (IRELAND) ; MAN ENERGY SOLUTIONS SE ; ATS APPLIED TECH SYSTEMS LTD ; FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. ; Heriot-Watt University ; SIMTEC ; SENSOFAR-TECH SL
Grant period	2017-10-01 - 2021-03-31
Funding body	European Union
Call number	H2020-FOF-2017
Grant number	768701
Identifier	G:(EU-Grant)768701

Note: SHARK 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

Recent Publications

There are no publications

Record created 2017-11-13, last modified 2023-02-08

Similar records

Add to personal basket
Export as Author List with IDs BibTeX (UTF-8), EndNote XML, EndNote Text, RIS, MARC, Print MARC, MARCXML, DC,
Request correction
Submit fulltext

GSI Homepage \| GSI Library \| English Deutsch \| guest :: login GSI Repository
Search	Submit	Personalize Your alerts Your baskets Your searches	Help