Chatter detection in turning by using sound signal and simple microphone
Feblil Huda1, Darman1, and Meifal Rusli2
1Department of Mechanical Engineering, University of Riau,
2Department of Mechanical Engineering, Andalas University,
Abstract
Chatter is frequently problem experienced in the area of machining process which brings down machining productivity and surface quality. Therefore, reliable and intense chatter detection methods are needed to maintain machining quality. In this study, turning chatter detection approach by using sound signal and simple microphone is proposed to get an accurate, simple and low cost detection method. For that purpose, an experimental set-up which consist of operating turning machine, simple microphone and personal computer (PC) with sound card is arranged. The chatter in turning process is stimulated by applying an artificial wear to the cutting tool. The sound signal data from normal and with chatter turning process are then grabbed by simple microphone and PC with sound card. The sound signals are then evaluated by Fast Fourier Transfom (FFT) and Wavelet Transform (WT) for normal and chatter conditions. Both of conditions data are then compared to get the characteristic of sound signal in chatter. It is found that signals in frequency domain, time-frequency and spectrogram have significant magnitude spike in chatter condition. 3-D spectrogram exhibits a special contours which signs the existence of chatter. The results demonstrate that the proposed method can conscientiously identify the chatter.
Keywords: Chatter detection; Sound signal; Simple microphone; Fast Fourier Transform; Wavelet Transform
Topic: Mechanical Engineering