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In-Process Tool Wear Measurement System Based on Image Analysis for CNC Drilling Machines

  • Published:2020-08 Issue:8 Volume:69 Page:5579-5588
  • ISSN:0018-9456
  • Container-title:IEEE Transactions on Instrumentation and Measurement
  • language:
  • Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Lins Romulo Goncalves1ORCID,Guerreiro Bruno2ORCID,Marques de Araujo Paulo Ricardo3ORCID,Schmitt Robert4ORCID

Affiliation:

1. Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC, Santo André, Brazil

2. Fraunhofer Institute for Production Technology (IPT), Aachen, Germany

3. Graduate Program in Engineering and Innovation Management, Federal University of ABC, Santo André, Brazil

4. Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 45 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Milling wear prediction using an artificial neural network model;Engineering Applications of Artificial Intelligence;2024-09

2. Tool wear on machining of difficult-to-machine materials: a review;The International Journal of Advanced Manufacturing Technology;2024-08-03

3. Comparative analysis of different machine vision algorithms for tool wear measurement during machining;Journal of Intelligent Manufacturing;2024-07-21

4. A Generative AI approach to improve in-situ vision tool wear monitoring with scarce data;Journal of Intelligent Manufacturing;2024-05-10

5. Developing an easy-to-use image-based system for offline tool-wear detection;Journal of Engineering Research;2024-04
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