Breaking hardness and electrical conductivity trade-off in Cu-Ti alloys through machine learning and Pareto front-Reference-Cited by-同舟云学术

Breaking hardness and electrical conductivity trade-off in Cu-Ti alloys through machine learning and Pareto front

Published:2024-06-15 Issue:8 Volume:12 Page:580-589
ISSN:2166-3831
Container-title:Materials Research Letters
language:en
Short-container-title:Materials Research Letters

Author:

Fu Hang¹,Gao Tianchuang¹,Gao Jianbao¹²,Li Qin¹,Meng Xiangpeng³,Zhang Min¹³,Ling Haoyue¹,Zhong Jing¹,Zhang Lijun¹

Affiliation:

1. State Key Laboratory of Powder Metallurgy, Central South University, Changsha, People’s Republic of China

2. State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of China

3. Ningbo Boway Alloy Material Co., Ltd, Ningbo, People’s Republic of China

Funder

the Youth Fund of the National Natural Science Foundation of China

the China Postdoctoral Science Foundation

Natural Science Foundation of Hunan Province for Distinguished Young Scholars

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/21663831.2024.2358964

Reference39 articles.

1. Ultrahigh Strength and High Electrical Conductivity in Copper

2. Microstructural design of new high conductivity – high strength Cu-based alloy

3. Effect of Composition on the Strength and Electrical Conductivity of Cu-Ti Binary Alloy Wires Fabricated by Aging and Intense Drawing

4. Effects of loads and speeds on friction and wear properties of Cu–Ti alloys processed by combination aging treatments

5. High-strength age hardening copper–titanium alloys: redivivus

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