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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
M2DESCO - 计算多模式建模支持安全设计
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 --

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中文摘要
翻译
该项目旨在解决开发下一代高熵合金基多组分绿色(无有毒物质)和可持续(无稀土和最低临界金属元素)涂层的挑战,这些涂层具有可预测的功能、性能和寿命,旨在将耐磨性提高100%。腐蚀/氧化该项目旨在解决开发下一代高熵合金基多组分绿色(无有毒物质)和可持续(无稀土和最低临界金属元素)涂层的挑战,这些涂层具有可预测的功能、性能和寿命(硬度和耐磨性提高50-100%,耐腐蚀性提高20-40%)。热稳定性和抗氧化性提高了30-60%),并通过将AI/ML支持的计算建模与高通量表征和评估促进的设计框架的安全性和可持续性相结合,有效地减少了30-40%的crm使用。与传统的实验试验和错误方法相比,这些发展将导致一种更有效的方法和工具,以支持涂层材料和基板系统的共同设计,优化PVD工艺,并将整个新涂层系统的开发周期缩短50-100%,并且在开发新涂层系统时节省材料和减少浪费至少4-5倍。M2DESCO的进步将有助于减少欧盟地区因腐蚀和磨损造成的损失。出色地提高了欧盟造型界的全球形象和竞争优势,并在2020年和2026年防腐涂料和耐磨硬质涂料的欧洲市场规模分别为1.96亿欧元和4.21亿欧元的情况下,显著加强了欧盟涂料研究和业务的竞争力,从而极大地受益于更广泛的生产链,有效地提高了欧盟工业的全球竞争力和弹性。
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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Computational Methods for Analyzing Toponome Data