叶奇鲁,杨钢.基于相形成判据和大数据体系的高熵合金设计[J].稀有金属材料与工程,2019,48(4):1059~1064.[ye qi lu,yang gang.Design of high entropy alloys based on the phase formation criteria and the big data system[J].Rare Metal Materials and Engineering,2019,48(4):1059~1064.]
基于相形成判据和大数据体系的高熵合金设计
投稿时间:2017-11-09  修订日期:2019-04-01
中文关键词:  高熵合金  判据  大数据  设计  应用
基金项目:
中文摘要:
      简要介绍高熵合金的发展和其相形成判据。针对高熵合金的大数据体系提出一种新的设计形式,设计并研究了一种新的高熵合金。结果表明: AxByC(100-a-b-x-y)DaEb的设计形式比起以往的伪二元系合金形式,如 AxBCDE,更加符合大数据体系的要求。提出的设计方法能够直观快捷的从高熵合金大数据体系中筛选出预期的合金成分。设计的高熵合金,AlCoCrFeMo0.05Ni2,与目标合金相符,且在700℃下有很好的应用前景。
Design of high entropy alloys based on the phase formation criteria and the big data system
英文关键词:high entropy alloys  criteria  big data  design  application
英文摘要:
      The development and phase formation criteria of high entropy alloy (HEAs) are described briefly. A new alloy design form is proposed in view of the big data system of high entropy alloy, and a new high entropy alloy is designed and studied. The result shows that the design form, AxByC(100-a-b-x-y)DaEb, is more in line with the requirements of the big data system compared with the previous alloy forms such as AxBCDE. The proposed design method can screen the expected alloy composition from the big data system of high entropy alloy rapidly and visually. The designed high entropy alloy, AlCoCrFeMo0.05Ni2, agrees with the target alloy, and has a great application prospect below 700 ℃.
作者单位E-mail
叶奇鲁 钢铁研究总院 1914552545@qq.com 
杨钢 钢铁研究总院 yanggang@nercast.com 
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