Identification of milling inserts in situ based on a versatile machine vision system-Reference-Cited by-同舟云学术

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Identification of milling inserts in situ based on a versatile machine vision system

Published:2017-10 Issue: Volume:45 Page:48-57
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Fernández-Robles Laura,Azzopardi George,Alegre Enrique,Petkov Nicolai,Castejón-Limas Manuel

Funder

Spanish Government

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference26 articles.

1. On-line tool wear measurement for ball-end milling cutter based on machine vision;Zhang;Comput Ind,2013

2. Edge detection and measurement of nose radii of cutting tool inserts from scanned 2-d images;Lim;Opt Lasers Eng,2012

3. Machine vision micro-milling tool wear inspection by image reconstruction and light reflectance;Szydlowski;Precis Eng,2016

4. Cutting tool wear measurement by using active contour model based image processing;Xiong,2011

5. Tool condition monitoring by SVM classification of machined surface images in turning;Bhat;Int J Adv Manuf Technol,2016

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