Tool wear prediction of longitudinal-torsional ultrasonic assisted milling based on IPSO-LSSVR-AdaBoost

The International Journal of Advanced Manufacturing Technology 2026

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Authors: Guohong Zhang, Ying Niu, Shaofan Gu, Jingjing Niu, Feng Jiao
DOI: 10.1007/s00170-026-18245-9
Cited by: 1
References: 34

Fields of Study & Subjects

Advanced machining processes and optimization Erosion and Abrasive Machining Advanced Machining and Optimization Techniques

Publication details

Journal / source
The International Journal of Advanced Manufacturing Technology
Publisher
Springer Science and Business Media LLC
Volume
144
Issue
9-10
Pages
6385–6399
Publication date
4 May 2026
Language
EN