A new method of on-line turned surface monitoring by digital image processing
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China
a Corresponding author: firstname.lastname@example.org
A machined surface can be seen as a replica of the geometric outline of the cutting tool nose during the process of cylindrical turning, and the texture of the machined surface varies along with the tool wear. A new method of on-line turned surface monitoring is proposed in this paper by studying the grey value characteristics of the turned surface digital image. The regularity of the surface image is judged and analysed by using wavelet transform, fractal analysis, and discreteness analysis of the wavelength of the texture contour. The average wave contour, which can reflect processing state and the condition of the turned surface, is extracted from the regular texture image. Experimental results show that the turned surface condition can be monitored on-line effectively with the presented method.
© Owned by the authors, published by EDP Sciences, 2016
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