Detection of chipping in ceramic cutting inserts from workplace profile signature during turning process using machine vision

Ceramic tools are prone to chipping due to their low impact toughness. Tool chipping significantly decreases the surface finish quality and dimensional accuracy of the workpiece. Thus, in-process detection of chipping in ceramic tools is important especially in unattended machining. Existing in-proc...

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Bibliographic Details
Main Author: Lee, Woon Kiow
Format: Thesis
Published: 2017
Subjects:
Online Access:http://eprints.usm.my/36797/1/LEE_WOON_KIOW_24_Pages.pdf
http://eprints.usm.my/36797/1/LEE_WOON_KIOW_24_Pages.pdf
http://eprints.uthm.edu.my/10262/1/Lee_Woon_Kiow.pdf