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Application of wavelet analysis in tool wear evaluation using image processing method

Lee, Woon Kiow and Tuan Muda, Syed Mohamad Aiman and Ong, Pauline and Sia, Chee Kiong and Talib, Norfazillah and Saleh, Aslinda (2018) Application of wavelet analysis in tool wear evaluation using image processing method. International Journal of Engineering & Technology, 7 (4.36). pp. 426-431.

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Abstract

Tool wear plays a significant role for proper planning and control of machining parameters to maintain the product quality. However, existing tool wear monitoring methods using sensor signals still have limitations. Since the cutting tool operates directly on the work-piece during machining process, the machined surface provides valuable information about the cutting tool condition. Therefore, the objective of present study is to evaluate the tool wear based on the workpiece profile signature by using wavelet analysis. The effect of wavelet families, scale of wavelet and statistical features of the continuous wavelet coefficient on the tool wear is studied. The surface profile of workpiece was captured using a DSLR camera. Invariant moment method was applied to extract the surface profile up to sub-pixel accuracy. The extracted surface profile was analyzed by using continuous wavelet transform (CWT) written in MATLAB. The re-sults showed that average, RMS and peak to valley of CWT coefficients at all scale increased with tool wear. Peak to valley at higher scale is more sensitive to tool wear. Haar was found to be more effective and significant to correlate with tool wear with highest R2 which is 0.9301.

Item Type: Article
Uncontrolled Keywords: Tool wear monitoring; workpiece profile; machine vision; continuous wavelet transform.
Subjects: T Technology > T Technology (General)
Depositing User: Mr Abdul Rahim Mat Radzuan
Date Deposited: 25 Dec 2019 16:15
Last Modified: 25 Dec 2019 16:15
URI: http://eprints.uthm.edu.my/id/eprint/11989
Statistic Details: View Download Statistic

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