Objective
The advances in the Information and Communication Technologies are revolutionizing our everyday life. However, the manufacturing industry does not yet take complete advantage of this huge potential. Using the latest ICT developments, MC-SUITE project wants to boost the productivity of manufacturing industry. On the one hand, machining process modelling empowered by High Performance Computing technologies allows simulating precisely the cutting process including force and surface quality. On the other hand, monitoring of the machine empowered by Big Data and Cloud technologies allows analysing the real process including vibration and process instability issues. Bridging the gap between virtual and real worlds, correlations of the simulated and monitored cutting process will allow optimizing both simulation and machining performances.
In agreement with the work programme, the combination of manufacturing technologies and ICT is at the core of the construction of this consortium. The project will complement science with innovation to propose new software frameworks which can collect information from multi-monitoring devices as turnkey technologies to improve the machining process. MC-SUITE will produce multiple impacts in the European industry, reflecting the trans-disciplinary nature of the project. The participation of industrial partners, both SMEs and large companies from ICT and industrial sectors, will ensure that the project will directly impact on wide range of industries such as metal part manufacturing, Computer-Aided Manufacturing software, machine tool industry. MC-SUITE project has the opportunity to produce a new breakthrough in the productivity of the European manufacturing industry.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencessoftware
- engineering and technologymechanical engineeringmanufacturing engineeringsubtractive manufacturing
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringdigital electronics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputers
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Programme(s)
Call for proposal
(opens in new window) H2020-FoF-2014-2015
See other projects for this callSub call
H2020-FoF-2015
Funding Scheme
RIA - Research and Innovation actionCoordinator
20870 Elgoibar
Spain