Adopting materials modelling to challenges in manufacturing processes

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Domaine de recherche :
Nanotechnologies, matériaux et production
Technologies industrielles
Type de financement :
H2020
Type d'instrument :
Recherche & Innovation Action
Deadline :
Mardi 03 Septembre 2019
1 ère partie : 22 janvier 2019
Budget indicatif :
5 millions d'euros par projet
Code de l'appel : DT-NMBP-10-2019
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À noter :
TRL visé: 
6 et +

Specific Challenge:

Improved decision making for materials producers and product manufacturers needs an environment that gives fast access to information and thereby allows reacting to changing feedstock, markets and regulatory demands. This would need an open translation environment that translates a specific manufacturing challenge into a materials modelling workflow that provides knowledge to support optimal material and process design.

Scope:

The translation environment should be one coherent and seamless system for optimised development of novel materials and products. This environment should allow reuse of materials modelling software, knowledge and expertise in different industrial domains, by use of the models, protocols and systems in other relevant areas or sectors.

  • The environment should contain a suite of integrated and interoperable apps that combine existing materials models, and databases of materials properties in a standardised manner;
  • Apps should be developed that will enhance the ability for manufacturing companies (end-users) to do an effective search of numerical tools and/or providers of numerical simulations. They should facilitate the building of the required workflows, while removing the underlying complexity of the model in order to address a specific challenge;
  • Apps should improve decision making on the level of differentiating materials and processes.

These translation environments should facilitate the operations of a pan-European network supported by Open Innovation Test Beds.

Proposals submitted under this topic should include actions designed to facilitate cooperation with other projects; to enhance user involvement; and to ensure the accessibility and reusability of data produced in the course of the project.

Expected Impact:

  • Remove barriers to the use of materials models by lowering the learning curve, increase the knowledge-base of European industry and the total cost of ownership leading to an industrial user base of companies increased by a factor 2;
  • Increased speed of material/and or product development time and rapid design from concept to market by factor 5 and allow industry to react to changing market and regulatory demands;
  • Change the operational practice of companies by making them more data driven, agile, light and competitive and thus support the Digital Single Market (DSM) objectives and thus drastically reduced development costs for industry by a factor 2;

Allow reuse of materials modelling knowledge and expertise in different industrial domains and cross-industry fertilisation by use of the protocols and systems in other relevant areas or sectors beyond the ones covered by the proposal.

Relevant indicators and metrics, with baseline values, should be clearly stated in the proposal.

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