Detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast Fourier transform
A non-contact vision-based method to detect the occurrence of fracture in ceramic cutting tool inserts using 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 capture...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2016
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4916/ http://eprints.uthm.edu.my/4916/1/AJ%202017%20%28239%29%20Detection%20of%20fracture%20in%20ceramic%20cutting%20tools.pdf |