M2DESCO - Computational Multimode Modelling Enabled Design of Safe & Sustainable Multi-Component High-Entropy Coatings
M2DESCO - Computational Multimode Modelling Enabled Design of Safe & Sustainable Multi-Component High-Entropy Coatings
批准号:
10096988
负责人:
金额:
$87.97万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --
中文摘要
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英文摘要
The project is directed at addressing challenges for developing next-generation high-entropy-alloy-based multi-component green (free of toxic substances) and sustainable (rare earth free & minimum critical metal elements) coatings with predictable functionalities, performance and life - aiming at increasing wear resistance by 100%, corrosion/oxidation reThe project is directed at addressing challenges for developing next generation high entropy alloy-based multi component green (free of toxic substances) and sustainable (rare earth free & minimum critical metal elements) coatings with predictable functionalities, performance and life (hardness & wear resistance increased by 50-100%, corrosion resistance increased by 20-40%, and thermal stability & oxidation resistance increased by 30-60%) and effectively reduced use of CRMs by 30-40% by integrating AI/ML underpinned Computational Modelling with Safe and Sustainability by Design framework facilitated by high-throughput characterisation & evaluation. These developments together will lead to a much efficient approach and tool to support the co-design of coating materials and substrate systems, optimisation of PVD processes, and reduced overall new coating system development cycle time by 50-100%, and material savings and waste reductions for developing the new coating systems by at least by 4-5 folds, comparing to traditional experimental trials and error approaches. The advancement of M2DESCO will contribute to combating the loss in EU region caused by corrosion and wear, excellently increase the global profile and competitive edge of EU modelling community and significantly strengthen the competitiveness of EU coating research and business withan European market size of €196 mill in 2020 and €421M in 2026 for anti-corrosion coatings and anti-wear hard coatings respectively thus greatly benefiting the wider manufacturing chain and effectively increasing the global competitiveness and the resilience of EU industry.
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国内基金
海外基金
Computational Methods for Analyzing Toponome Data
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批准号:60601030
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项目类别:青年科学基金项目
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资助金额:17.0万元
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批准年份:2006
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负责人:Axel Mosig
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依托单位: