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http://dx.doi.org/10.3795/KSME-A.2004.28.1.070

Chatter Detection for Improving Surface Quality of Hard Turning Process with Wavelet Transformation  

박영호 (서울산업대학교 산업공학과)
공정흥 (서울산업대학교 산업공학과)
양희남 (서울산업대학교 산업공학과)
김일해 (서울산업대학교 산업공학과)
장동영 (서울대학교 기계항공공학부)
한동철 (서울대학교 기계항공공학부)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.28, no.1, 2004 , pp. 70-78 More about this Journal
Abstract
This paper presents study of efficiency of wavelet transformation for on-line chatter detection during hard fuming process. From comparison with other time series and statistical methods such as fast fourier transformation (FFT), Kurtosis and standard deviation (STD), wavelet transform is better than others in on-line chatter detection. With using wavelet function with pseudo frequency corresponding to chatter frequency, chatter could be detected more sensitively. And for both force signal from dynamometer and displacement signal from capacitance type cylindrical sensor (CCS), wavelet transform with DB2 function on level 4 could be well used for chatter detection in hard turning process.
Keywords
Chatter Detection; FFT; Hard Turning; Pseudo Frequency; Surface roughness; Wavelet Transform;
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