Surface defect detection and prediction in carbide cutting tools treated by lasers

Laser surface engineering of cutting tools is used to improve the performance of cutting processes via altering the material interaction between the tool surface and workpiece. Laser processing applied to cemented carbide cutting tools can induce various thermal and mechanical surface defects includ...

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Bibliographic Details
Main Authors: Kafayat Hazzan, Manuela Pacella
Format: Default Conference proceeding
Published: 2022
Subjects:
Laser Processing
Cutting Tools
Tungsten Carbide
Defects Detection
Convolutional Neural Networks
Machine Learning
Online Access:https://hdl.handle.net/2134/19952339.v1
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https://hdl.handle.net/2134/19952339.v1

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