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《机械工程前沿(英文)》 >> 2022年 第17卷 第3期 doi: 10.1007/s11465-022-0688-0
A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of thin-walled structural components
1. State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;1. State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;1. State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;2. Southwest Institution of Electronic Technology, Chengdu 610036, China;2. Southwest Institution of Electronic Technology, Chengdu 610036, China;1. State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
摘要
关键词
precision milling ; dimensional accuracy ; cutting force ; convolutional neural networks ; coherent noise
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