doi: 10.3850/978-981-11-0749-8_737
Application of MEMS Microphone Array for Tool Wear Monitoring in Turning
Pei-Ning Wang1, Ming-Chyuan Lu1, Shih-Ming Wang2, Yunn-Shiuan Liao3 and Yao-Yang Tsai3
1Mechanical Engineering, National Chung Hsing University, Taiwan
2Mechanical Engineering, Chung Yuan Christian University, Taiwan
3Mechanical Engineering, National Taiwan University, Taiwan
Abstract
In this study, two types of MEMS microphone array configurations including constant and multi-spacing systems were investigated to confirm their noise attenuation capability for a tool wear monitoring system in turning. The artificially generated sound signals collected by various microphones were filtered with delay and sum algorithms to analyze the noise attenuation ratio of microphone arrays compared to the signal collected with a single microphone. The results show that the microphone array with designated spacing between microphones provides a high noise attenuation capability at specific frequency range, and the multi-spacing microphone array can provide the better noise attenuation capability over the frequency range of 100 Hz to 1 kHz. With the artificial noise generated by speaker inside the cutting chamber, the classification rate of tool wear monitoring with a single microphone set has been reduced to 80% under the effect of the noise. With the implementation of the multi-spacing microphone array set, the classification rate can be improved to 100% with a proper selection of spacing between microphones.
Keywords: Microphone array, Turning, Tool wear monitoring, Delay and sum.
