Impact Factor:3.8
DOI number:10.1016/j.mtcomm.2022.103172
Affiliation of Author(s):中南大学粉末冶金研究院
Teaching and Research Group:高温结构材料研究所
Journal:Materials today communications
Funded by: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）
Key Words:Eutectic high entropy alloy, CALPHAD, Machine learning, Microstructure, Mechanical properties
Abstract: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.
Co-author:Xiangyou Xiao, Yong Liu
First Author:Feng Liu
Indexed by:Article
Correspondence Author:Liming Tan, Lan Huang
Document Code:103172
Discipline:Engineering
First-Level Discipline:冶金
Volume:30
Page Number:2352-4928
ISSN No.:2352-4928
Translation or Not:no