Parameter optimization of titanium alloy considering energy efficiency and tool wear based on RBFNN-MOPSO algorithm in milling-Reference-Cited by-同舟云学术

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Parameter optimization of titanium alloy considering energy efficiency and tool wear based on RBFNN-MOPSO algorithm in milling

Published:2024-07 Issue: Volume:122 Page:97-111
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Xi Lin,Li Li,Li Lingling,Zhao Junhua,Sutherland John W.

Funder

Fundamental Research Funds for the Central Universities

Purdue University

Southwest University

Science Fund for Distinguished Young Scholars of Chongqing Municipality

Publisher

Elsevier BV

Reference48 articles.

1. Research on electrochemical discharge milling of TC4 titanium alloy[J];Huang;Materials and Manufacturing Processes,2022

2. Friction-stir welding and processing of Ti-6Al-4V titanium alloy: a review[J];Mironov;Journal of Materials Science & Technology,2018

3. A novel biomedical titanium alloy with high antibacterial property and low elastic modulus[J];Cai;Journal of Materials Science & Technology,2021

4. Sustainable ultra-precision machining of titanium alloy using intermittent cutting[J];Yip;International Journal of Precision Engineering and Manufacturing-Green Technology,2020

5. Challenges in laser-assisted milling of titanium alloys[J];Dargusch;International Journal of Extreme Manufacturing,2021

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. A Review on Recent Advances in the Energy Efficiency of Machining Processes for Sustainability;Energies;2024-07-25

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