Design of High Entropy Superalloys Using a Hybrid Experimental-Based Machine Learning Approach: Steel Sector Application
Design of High Entropy Superalloys Using a Hybrid Experimental-Based Machine Learning Approach: Steel Sector Application
批准号:
53662
负责人:
金额:
$58.13万
依托单位:
依托单位国家:
英国
项目类别:
Study
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
高价值和其他制造行业的最终用户对涂层及其加工的长期性能缺乏信心,这是引入依赖于表面工程和先进涂层的新产品的障碍。为了满足这一市场需求,该项目旨在通过提高对表面工程技术的信心,将范式从"应用您拥有的材料"转变为"设计您需要的材料",从而开发重要的全球市场。高熵合金(HEAs)在这一方向提供了一个变革性的机会,通过非凡的材料性能和独特的性能组合,使高性能制成品在国际市场上具有竞争力。新的高熵超级合金将围绕Al-Co-Cr-Cu-Fe-Ni合金系统进行设计,促进面心立方相和耐磨纳米氧化物相。为了实现快速的材料开发,该联盟将设计一种混合研发方法,将高通量实验和神经网络软件相结合,使计算机能够筛选超过一百万种可能性,以寻找适合操作环境特性的有前途的混合物。新方法旨在“以两倍的速度发现、制造和部署先进材料,而成本却只有一小部分。这项新技术将首先在压力越来越大的钢铁行业展示。英国的米尔斯钢厂将受益于项目成果,帮助他们维持和增加劳动力。一个成功的项目结果将导致在供应链中创造和保留就业机会。该项目将通过替代致癌的六价铬Chrome和减少全球硬质表面应用中过度使用的钴基材料,对环境产生重大影响。
英文摘要
End users in high value and other manufacturing sectors report low confidence in the long-term performance of both coatings and their processing as a barrier to the introduction of new products dependent on surface engineering and advanced coatings. Responding to this market need this project aims to shift the paradigm from "apply the material you have" to "engineer the material you need" developing significant global markets through increased confidence in surface engineering technology. High entropy alloys (HEAs) provide a transformative opportunity in this direction enabling high-performance manufactured goods that are competitive in the international marketplace through extraordinary material properties and unique property combinations. The new High Entropy Superalloys will be engineered around the Al-Co-Cr-Cu-Fe-Ni alloy system promoting both the face-centred cubic phase and the wear resistant nano-oxides phase. To achieve rapid material development, the consortium will devise a hybrid R&D approach combining high throughput experimentation and a neural network software that would allow a computer to sift through more than a million possibilities in search of promising mixtures tailored to the operating environment characteristics. The new approach aims to "discover, manufacture, and deploy advanced materials twice as fast, at a fraction of the cost. The new technology will be first demonstrated to the steel sector that is under ever increasing pressure. Steel mills in the UK will benefit from the project outcomes helping them to maintain and increase their workforce. A successful project outcome will result in jobs created and retained in the supply chain. The project will have a major environmental impact through the substitution of carcinogenic hexavalent chrome and the reduction of cobalt based materials excessively used in hard facing applications worldwide.
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