Computational Multi-Models Enabled Design of Safe & Sustainable Multi-Component High-Entropy Coatings (M2DESCO)
计算多模型支持安全设计
基本信息
- 批准号:10110861
- 负责人:
- 金额:$ 76.11万
- 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
- 起止时间:2024 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
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 with an 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.
该项目旨在解决开发具有可预测功能、性能和寿命的下一代高熵合金多组分绿色(不含有毒物质)和可持续(不含稀土和最少关键金属元素)涂层的挑战 -旨在将耐磨性提高100%,腐蚀/氧化再利用该项目旨在解决开发下一代高熵合金基多元绿色(不含有毒物质)和可持续(不含稀土和最低临界金属)的挑战元素)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30-60%),并有效减少CRM的使用通过将基于 AI/ML 的计算模型与高通量表征和评估所促进的安全和可持续性设计框架相结合,将性能提高 30-40%。这些发展将带来更多成果。支持涂层材料和基材系统协同设计的有效方法和工具,优化 PVD 工艺,将新涂层系统的总体开发周期时间缩短 50-100%,并通过以下方式节省材料并减少开发新涂层系统的浪费:与传统的实验试错方法相比,至少提高了 4-5 倍,M2DESCO 的进步将有助于应对欧盟地区因腐蚀和磨损造成的损失,极大地提高欧盟建模界的全球形象和竞争优势,并显着提高欧盟地区的竞争力。加强欧盟涂料研究和业务的竞争力,2020年欧洲防腐涂料和抗磨硬质涂料市场规模分别为196欧元和2026年4.21亿欧元,从而极大地惠及更广泛的制造链,有效提高全球竞争力和欧盟工业的韧性。
项目成果
期刊论文数量(0)
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专利数量(0)
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Cryptococcal granulomas of basal ganglia due to Cryptococcus neoformans in a cat: a case report and literature review.
- DOI:
10.1292/jvms.22-0514 - 发表时间:
2023-03-30 - 期刊:
- 影响因子:0
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Cloud transition across the daily cycle illuminates model responses of trade cumuli to warming.
- DOI:
10.1073/pnas.2209805120 - 发表时间:
2023-02-21 - 期刊:
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Acute sleep deprivation increases inflammation and aggravates heart failure after myocardial infarction.
- DOI:
10.1111/jsr.13679 - 发表时间:
2022-12 - 期刊:
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Ionic Liquids-Polymer of Intrinsic Microporosity (PIMs) Blend Membranes for CO(2) Separation.
- DOI:
10.3390/membranes12121262 - 发表时间:
2022-12-13 - 期刊:
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Correction for Paulson et al., Embryonic microRNAs are essential for bovine preimplantation embryo development.
- DOI:
10.1073/pnas.2300306120 - 发表时间:
2023-02-21 - 期刊:
- 影响因子:11.1
- 作者:
- 通讯作者:
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{{ truncateString('', 18)}}的其他基金
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