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Effect of Aluminum Content on Microstructure and Tribological Properties of CoCrFeNi_(2)-Based High-Entropy Alloys

Effect of Aluminum Content on Microstructure and Tribological Properties of CoCrFeNi_(2)-Based High-Entropy Alloys

作     者:Zhang Mengdi Zhang Gaimei Luo Chongwei Xu Hanqing 张梦迪;张改梅;罗崇玮;徐汉清

作者机构:School of Quality and Technical SupervisionHebei UniversityBaoding 071002China 

基  金:National Natural Science Foundation of China(52201177) Hebei Province Department of Education Fund(QN2024264) Natural Science Foundation of Hebei Province(E2022201010) 

出 版 物:《稀有金属材料与工程》 (Rare Metal Materials and Engineering)

年 卷 期:2025年第54卷第2期

页      码:343-353页

摘      要:Four machine learning algorithms were used to predict the solid solution phases of high-entropy alloys(HEAs).To improve the model accuracy,the K-fold cross validation was *** show that the K-nearest neighbor algorithm can effectively distinguish body-centered cubic(bcc)phase,face-centered cubic(fcc)phase,and mixed(fcc+bcc)phase,and the accuracy rate is approximately 93%.Thereafter,CoCrFeNi_(2)Al_(x)(x=0,0.1,0.3,1.0)HEAs were prepared and characterized by X-ray diffractometer and energy disperse *** is found that their phases are transformed from fcc phase to fcc+bcc phase,which is consistent with the prediction results of machine ***,the influence of Al content on the microstructure and tribological properties of CoCrFeNi_(2)Al_(x)(x=0,0.1,0.3,1.0)HEAs was *** reveal that with the increase in Al content,the nanohardness and microhardness increase by approximately 45%and 75%,*** elastic limit parameter H/Er increases from 0.0216 to 0.030,whereas the plastic deformation resistance parameter H^(3)/E_(r)^(2) increases from 0.0014 to 0.0045,which demonstrates an improvement in nanohardness with the increase in Al addition *** addition,the wear rate decreases by 35%with the increase in Al addition *** research provides a new idea with energy-saving and time-reduction characteristics to prepare HEAs.

主 题 词:machine learning high-entropy alloy hardness wear resistance 

学科分类:08[工学] 080502[080502] 0805[工学-能源动力学] 

核心收录:

D O I:10.12442/j.issn.1002-185X.20240625

馆 藏 号:203157516...

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