A vision-based fusion method for defect detection of milling cutter spiral cutting edge-Reference-Cited by-同舟云学术

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A vision-based fusion method for defect detection of milling cutter spiral cutting edge

Published:2021-06 Issue: Volume:177 Page:109248
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zhang Tongjia,Zhang Chengrui,Wang Yanjie,Zou Xiaofu,Hu Tianliang

Funder

Shandong University

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference33 articles.

1. Machine-vision-based identification of broken inserts in edge profile milling heads;Fernandez-Robles;Rob. Comput. Integr. Manuf.,2017

2. Identification of milling inserts in situ based on a versatile machine vision system;Fernandez-Robles;J. Manuf. Syst.,2017

3. Tool wear monitoring using an online, automatic and low cost system based on local texture;Garcia-Ordas;Mech. Syst. Sig. Process.,2018

4. Research on tool wear detection based on machine vision in end milling process;Zhang;Prod. Eng. Res. Devel.,2012

5. The monitoring of micro milling tool wear conditions by wear area estimation;Zhu;Mech. Syst. Sig. Process.,2017

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