@inproceedings{1341437c7881403db1a927526abc6f3a,
title = "SiCp/Al milling force optimization and empirical formula modeling",
abstract = "As a commonly used difficult-to-machine material, Machining of SiCp/Al composite has always been a difficult problem in machining. Aiming at the problems of difficult machining, severe tool wear, and high milling force, the processing parameters of the material were optimized to find the best combination of parameters to reduce milling force and reduce tool wear. At the same time, ultrasonic vibration assisted processing is added for comparison. The research shows that selecting the correct processing technology parameters and adding ultrasonic vibration assisted processing can effectively improve the problem of large milling force in the processing process, reduce tool wear, and obtain the best combination of process parameters.",
keywords = "Machining, Milling force model, component, tool wear",
author = "Wang Kang and Wang Aimin and Xu Kai and Chang Xiaofei",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 11th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2020 ; Conference date: 20-01-2020 Through 22-01-2020",
year = "2020",
month = jan,
doi = "10.1109/ICMIMT49010.2020.9041209",
language = "English",
series = "Proceedings of 2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "78--82",
booktitle = "Proceedings of 2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2020",
address = "United States",
}