Composition optimization of cobalt-free Fe-Cr-Ni-Al/Ti multi-principal element alloys for strength-ductility trade-off based on machine learning-Reference-Cited by-同舟云学术

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Composition optimization of cobalt-free Fe-Cr-Ni-Al/Ti multi-principal element alloys for strength-ductility trade-off based on machine learning

Published:2023-08 Issue: Volume:36 Page:106498
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Xu Kang,An Jin-hua,Zhang Li,Bai Chun-yan,Tu Jian,Luo Jin-ru

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing Municipality

Natural Science Foundation Project of Chongqing

Publisher

Elsevier BV

Subject

Materials Chemistry,Mechanics of Materials,General Materials Science

Reference59 articles.

1. Composition design to tune the mechanical behavior of a TRIP-TWIP (CrMnFeCoNi)50 Fe50-xCrx multi-principal element alloys;Wu;Mater. Sci. Eng.: A,2022

2. A new lightweight Al2.7TiVCrCu high entropy alloy with excellent strength and toughness after homogenization treatment;Liu;Mater. Sci. Eng.: A,2023

3. Remarkably high fracture toughness of HfNbTaTiZr refractory high-entropy alloy;Fan;J. Mater. Sci. Technol.,2022

4. Enhancement in impact toughness of CoCrFeMnNi high-entropy alloy via nitrogen addition;Feng;J. Alloy. Compd.,2023

5. Excellent strength-ductility synergy and corrosion resistance in a metastable high entropy alloy via heterogeneous structure design;Lu;J. Alloy. Compd.,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning aided process design of Fe-Cr-Ni-Al/Ti multi-principal element alloys for excellent mechanical properties;Computational Materials Science;2024-01

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