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共晶高熵合金成分设计的研究进展

Research Progress on Compositional Design in Eutectic High-Entropy Alloys
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摘要 近年来,共晶高熵合金由于优异的铸造性能以及优良的强塑性匹配受到了广泛关注,然而,目前存在着开发共晶高熵合金效率过低的问题,共晶高熵合金的成分设计始终是一项挑战。针对这一项挑战,国内外学者开发了多种共晶高熵合金的成分设计方法来加快共晶高熵合金的开发速度,由最初的试错法,发展到后来的d轨道能级法、简单混合法、混合焓法、相图计算法以及机器学习辅助的方法等等。每种方法各有特点和局限性,本文对共晶高熵合金的成分设计方法进行了全面评述。 Eutectic high-entropy alloys have received extensive research in recent years due to their good castability and exceptional combination of strength-ductility balance.However,the problem of low efficiency in developing eutectic high-entropy alloys has always been a challenge in the compositional design.Based on this challenge,a variety of methods for compositional design in eutectic high-entropy alloys have been developed to speed up the development of eutectic high-entropy alloys,from trial and error method to d-orbit energy level method,simple mixture method,mixing enthalpy method,phase diagram calculation method,machine learning-assisted methods,ect.Each method has its own characteristics and limitations.The methods for compositional design in eutectic high-entropy alloys were reviewed in this paper.
作者 陈凯旋 熊志平 Chen Kaixuan;Xiong Zhiping(China Aero-polytechnology Establishment,Aviation Industry Corporation of China,Beijing 100028,China;School of Materials Science and Engineering,Beijing Institute of Technology,Beijing 100081,China)
出处 《稀有金属材料与工程》 SCIE EI CAS CSCD 北大核心 2024年第7期2083-2093,共11页 Rare Metal Materials and Engineering
基金 冲击环境材料技术国防科技重点实验室基金(6142902210103)。
关键词 共晶合金 高熵合金 成分设计 机器学习 eutectic alloy high-entropy alloy compositional design machine learning
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