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Horizon 2020 (2014 - 2020)

Multi-scale Composite Material Selection Platform with a Seamless Integration of Material Models and Multidisciplinary Design Framework - COMPOSELECTOR

Last update: Jun 12, 2020 Last update: 12 Jun, 2020

Details

Locations: Czech Republic, France, Italy, Luxembourg, Netherlands, UK
Start Date: Jan 1, 2017
End Date: Dec 31, 2020
Value: € 3 904 186,03
Sectors: Industry, Commerce & Services, Information & Commu ... See more Industry, Commerce & Services, Information & Communication Technology
Categories: Grants
Date posted: Jun 12, 2020

Associated funding

Associated experts

Description

Programme: H2020-EU.2.1.3. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced materials
Topic: NMBP-23-2016 - Advancing the integration of Materials Modelling in Business Processes to enhance effective industrial decision making and increase competitiveness
Call for proposal: H2020-NMBP-2016-two-stage
Funding Scheme: RIA - Research and Innovation action
Grant agreement ID: 721105

Objective: The mission of COMPOSELECTOR is to develop a Business Decision Support System (BDSS), which integrates materials modelling, business tools and databases into a single work flow to support the complex decision process involved in the selection and design of polymer-matrix composites (PMCs). This will be achieved by means of an open integration platform which enables interoperability and information management of materials models and data and connects a rich materials modelling layer with industry standard business process models. In order to satisfy the need for effectively designing and producing increasingly sophisticated materials, components and systems with advanced performance on a competitive time scale there is a particular need in industry for chemistry/physics-based materials models and modelling work ows which capture the performance of materials, accounting for material internal microstructure and effects of processing, provide accuracy/validation of predicted data, and relevant management of uncertainty and assemble knowledge ready for decision makers to act upon. COMPOSELECTOR will address these needs by integration of (discrete and continuum) materials models and process models as well as structured and unstructured data into a standards-based, open integration framework, implementing uncertainty management and multi-criteria optimisation in order to provide actionable choices, and building tailored knowledge apps to support decision makers. The human interface of COMPOSELECTOR will be supportedby Visual Analytics capable of integrating qualitative, quantitative and cognitive aspects for a user-friendly management of the vast quantity of available data. The COMPOSELECTOR BDSS will be applied to and validated by end users targeting accurate, reliable, efficient and cost effective decision-making and management of polymer matrix composite (PMC) materials in the transport and aerospace value chains.

Reference — Multi-scale Composite Material Selection Platform with a Seamless Integration of Material Models and Multidisciplinary Design Framework - COMPOSELECTOR — for Czech Republic, France, Italy, Luxembourg, Netherlands, UK presented by Horizon 2020 (2014 - 2020) (grants), budget is € 3 904 186,03, in Industry, Commerce & Services, Information & Communication Technology sectors. Reference — Multi-scale Composite Material Selection Platform with a Seamless Integration of Material Models and Multidisciplinary Design Framework - COMPOSELECTOR — for Czech Republic, France, Italy, Luxembourg, Netherlands, UK presented by Horizon 2020 (2014 - ...
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