INTEGRATED COMPUTATIONAL / EXPERIMENTAL MATERIAL ENGINEERING OF THERMAL SPRAY COATINGS
Why choose CoBRAIN solution?
The solution proposed by CoBRAIN is to develop novel hardmetals for thermal spray coatings based on compositionally complex systems of High Entropy Alloy and Carbides as a binder and hard phase (respectively) and to support their application by a Sustainable Decision Support System to identify specific elements and process solutions optimised in different applications. In comparison to electroplated chromium, thermal spray coatings display a longer lifetime, less wear and corrosion degradation, and do not penalise the fatigue life of steel substrates.
48 Months Duration
7 EU Countries
Unveils Its First Video
1st HVOF deposition runs
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CoBRAIN in brief
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CoBRAIN aims to develop solutions for wear and corrosion-resistant coatings by thermal spraying, generating experimental and computational datasets and developing a specific domain ontology to enable their interoperability. A unique synergy of these datasets and the data on material lifecycle sustainability, are used in Deep Learning (DL) algorithms to provide support to decision-making processes in the development of industrial components.
CoBRAIN is a 48-month project and its goals will be achieved through the implementation of eight (8) WPs, including: 5 technical WPs (WP1-5), Validation of CoBRAIN solution (WP6), Dissemination and Exploitation of CoBRAIN results (WP7). Finally, WP8 concerns project coordination and management.
CoBRAIN will develop a Sustainable Decision Support System (SDSS), that will produce and provide guidance for interested industrial end-users on how to choose the optimal path between the technologies and processes of the proposed work to reach the desired products. Technology solutions for a sustainable coatings portfolio will be favored as they offer the capability to estimate their impact on the economy and the environment.