Development of a Chatter Detection Technique in Machining Operations Using External Sensor Data

Date

2025-4-7

Author

Öztürk, Serhat Can

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In the scope of this presented thesis, a chatter detection method to be used in machining processes is developed. To start the development, signals are acquired of acceleration and sound over time, by accelerometers and microphones respectively, while machining the workpiece. The signal acquired is pre-processed to prepare the signal for processing. The pre-processed signal is divided to shorter time intervals determine the time and distance interval that chatter begins to occur. The signal intervals are subjected to wavelet denoising, to further reduce the noise in the signal. The wavelet denoised signal is applied Variational Mode Decomposition, to divide the signal to intrinsic mode functions, where each have a different dominant frequency. After selecting the mode consisting of high chatter characteristics, Hilbert-Huang Transform is utilized on selected mode to determine the Hilbert energy of the mode. Hilbert energy is used as a chatter indicator to determine whether the chatter occurs. Chatter position and time is determined, the determined position and time is verified by FFT calculation and measurement on workpiece.

Subject Keywords

Chatter Detection, Signal Processing, Wavelet Denoising, Variational Mode Decomposition, Hilbert Energy

URI

https://hdl.handle.net/11511/114512

Collections

Graduate School of Natural and Applied Sciences, Thesis