Journal
8TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING, INTER-ENG 2014
Volume 19, Issue -, Pages 98-105Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.protcy.2015.02.015
Keywords
Tool Wear; Turning; Image Processing; Undecimated Wavelet Transform; Texture Features
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The state of a cutting tool is a critical factor in any metal cutting process because dull or damaged cutting tool reduces surface quality and dimensional accuracy of workpiece and damages the machine tool. This paper proposes a novel vision-based approach for determining tool wear in metal cutting. The surface irregularity changes caused by tool wear are used as a criterion for estimating the cutting tool wear. Undecimated Wavelet Transform is used to decompose the surface image of the workpiece into sub-images in which the cutting tool wear can be indicated. The texture of sub-images is analyzed using GLCM texture features. The experimental results showed that the combination of undecimated wavelet decomposition and GLCM texture features can be used as a robust method for determining tool wear in the turning process. (C) 2015 The Authors. Published by Elsevier Ltd.
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