Investigation on milling chatter identification at early stage with variance ratio and Hilbert–Huang transform
发布时间：2025-04-30
点击次数：
- 发布时间：
- 2025-04-30
- 论文名称：
- Investigation on milling chatter identification at early stage with variance ratio and Hilbert–Huang transform
- 发表刊物：
- The International Journal of Advanced Manufacturing Technology
- 摘要：
- Chatter occurs as an unexpected and unstable phenomenon in milling process, imposing an extremely negative effect
on the workpiece and machining system. Therefore, a method that can identify chatter at an early stage is desperately needed. However, some aspects in terms of effectiveness, robustness, and practicality with existing methods deserve further improve-ment. In this paper, the characteristics of chatter in different stages are investigated. Considering the properties of a vibration signalwhen the onset of chatter occurs, an adaptive filterisdesigned toremove the spindle speed-related frequency components, and the chatter-related components can be amplified simultaneously with the filter. Next, the variance ratio (VR) of the filtered signal series to the original signal series is defined as the chatter indicator, which is very sensitive to chatter. After chatter is detected, a time frequency analysis method based on ensemble empirical mode decomposition (EEMD) and the Hilbert–Huang transform (HHT) is introduced to estimate the dominant chatter frequency. Milling experiments with different configurations of cutting conditions are performed and the results show that all the chatter can be detected at an early stage. In addition, the transients of the vibration signal caused by discontinuity of workpiece geometry or inhomogeneous material can be distinguished from the chatter.
- 合写作者：
- Shaoke Wan, Xiaohu Li*, Wei Chen, Jun Hong
- 卷号：
- 95
- 页面范围：
- 3563–3573
- 是否译文：
- 否
- 发表时间：
- 2017-12-14