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Detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast Fourier transform

Lee, W. K. and Ratnam, M. M. and Ahmad, Z. A. (2016) Detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast Fourier transform. Precision Engineering, 44. pp. 131-142. ISSN 01416359

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Abstract

A non-contact vision-based method to detect the occurrence of fracture in ceramic cutting tool insertsusing the workpiece profile signature is proposed. Machining experiments were carried out to turn stain-less steel using ceramic cutting tool inserts. The images of the workpiece profile were captured after eachturning pass using a high-resolution DSLR camera. The edge profiles of the workpiece were extracted tosub-pixel accuracy using the invariant moment method. The extracted profiles were transformed fromthe spatial domain to the frequency domain using Fast Fourier Transform (FFT). From the Fourier spec-trum the amplitude of the fundamental feed frequency was observed to increase steadily with the cuttingduration during gradual wear of the tool edge. However, significant fluctuations in the amplitude of thefundamental feed frequency were observed after the onset of chipping and fracture due to the contin-uous deterioration of the cutting edge. This was caused by the irregular peak-to-valley heights in theworkpiece surface profile resulting from the fractured tool at the end of the cutting time of 84.8 s.

Item Type: Article
Uncontrolled Keywords: Surface profile; fast fourier transform; tool fracture; ceramic
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ1125-1345 Machine shops and machine shop practice
Divisions: Faculty of Mechanical and Manufacturing Engineering > Department of Manufacturing and Industrial Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 18 Feb 2019 06:55
Last Modified: 18 Feb 2019 06:55
URI: http://eprints.uthm.edu.my/id/eprint/10655
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