Identification of chatter in milling of Ti-6Al-4V titanium alloy thin-walled workpieces based on cutting force signals and surface topography
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- 作者：Jilu Feng ; Zhili Sun ; Zenghui Jiang ; Li Yang
- 关键词：Milling chatter ; Thin ; walled workpiece ; Milling force signals ; Surface topography ; Fast Fourier transform ; Wavelet transform
- 刊名：The International Journal of Advanced Manufacturing Technology
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：82
- 期：9-12
- 页码：1909-1920
- 全文大小：2,932 KB
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Zhili Sun (1)
Zenghui Jiang (2)
Li Yang (3)
1. School of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110819, China
2. School of Mechanical Engineering, Shenyang Ligong University, Shenyang, 110159, China
3. School of Equipment Engineering, Shenyang Ligong University, Shenyang, 110159, China - 刊物类别：Engineering
- 刊物主题：Industrial and Production Engineering
Production and Logistics
Mechanical Engineering
Computer-Aided Engineering and Design - 出版者：Springer London
- ISSN：1433-3015
文摘
In vertical milling process of Ti-6Al-4V titanium alloy thin-walled workpieces, chatter as a thorny problem occurs easily, which can lead to the instability of the machining process, tool wear, and poor surface finish. It has become a focus issue to identify and avoid chatter in machining process. In this paper, the milling force signals in the direction perpendicular to the machined surface were analyzed by fast Fourier transform and wavelet transform for detecting chatter. The combination of the surface topography and the prediction theory of regenerative chatter were put forward to further verify chatter. The results show that fast Fourier transform in some cases, wavelet transform, and the combination of surface topography and the prediction theory of regenerative chatter can obtain better results for the detection and verification of chatter, and the stable cutting zone was obtained using a stability lobe diagram, which can assist in the selection of reasonable cutting parameters to avoid chatter. Keywords Milling chatter Thin-walled workpiece Milling force signals Surface topography Fast Fourier transform Wavelet transform