Rapid online chatter detection in milling using aliased signals

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.