Design of NiCoCrAl eutectic high entropy alloys by combining machine learning with CALPHAD method
点击次数：
影响因子：
3.8
DOI码：
10.1016/j.mtcomm.2022.103172
所属单位：
中南大学粉末冶金研究院
发表刊物：
Materials today communications
项目来源：
中国国家科学技术主要项目（2017-VI-0008-0078）、中国自然科学基金（91860105、52074366）和中国中国博士后科学基金会（2019M662799）
关键字：
Eutectic high entropy alloy, CALPHAD, Machine learning, Microstructure, Mechanical properties
摘要：
A method to rapidly locate the eutectic composition in Ni-Co-Cr-Al system by combining machine learning (ML) with thermodynamic calculations was proposed. Under the guidance of this method, two FCC+BCC eutectic high entropy alloys (EHEAs) were successfully found by experimental verification. Thereafter, the lamellar eutectic structure and mechanical properties of Ni68-wCo16Cr16Alw HEAs were further investigated. The results indicated that Ni68-wCo16Cr16Alw HEAs consisted of FCC(L1(2)) phase (Al-poor) and BCC(B-2) phase (Al-rich), and increasing the Al content promoted the production of BCC phase. Moreover, as the Al content increases, the microhardness of the Ni68-wCo16Cr16Alw HEAs increased but decreased in fracture ductility. Of these, the Ni49Co16Cr16Al19 EHEA exhibited excellent compression strength(3006.9 MPa) and good fracture ductility(45.5%), with microhardness approaching to 326.3 HV.
合写作者：
Xiangyou Xiao, Yong Liu
第一作者：
Feng Liu
论文类型：
Article
通讯作者：
谭黎明, Lan Huang
学科门类：
工学
一级学科：
冶金
卷号：
30
页面范围：
2352-4928
ISSN号：
2352-4928
是否译文：
否
学位：博士学位
职称：副研究员
学科：材料科学与工程
所在单位：粉末冶金研究院