Rapid online chatter detection in milling using aliased signals

被引：0
|
作者：
Rajput H.S. [1 ]
Law M. [1 ]
机构：
[1] Machine Tool Dynamics Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Uttar Pradesh, Kanpur
来源：
International Journal of Mechatronics and Manufacturing Systems | 2024年 / 17卷 / 01期
关键词：
aliasing; chatter; milling; Nyquist; online; real-time;
D O I：
10.1504/IJMMS.2024.138134
中图分类号：
学科分类号：
摘要：
This paper proposes a new real-time capable chatter detection method using aliased signals. Since vibration spectra of stable cuts are dominated by harmonics of spindle frequencies, and since aliased signals with known frequency content fold in deterministic ways, we show that we can deduce which of the peaks in the frequency spectra of the folded signals is a harmonic or not of the spindle frequency. We illustrate chatter detection with slot milling Aluminium by sampling at rates as low as 256 Hz. The method takes ~0.13 ms to execute making it useful for condition monitoring and detection of chatter. Copyright © 2024 Inderscience Enterprises Ltd.
引用
收藏
页码：84 / 95
页数：11
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