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In-process machine vision monitoring of tool wear for Cyber-Physical Production Systems

  • Published:2020-02 Issue: Volume:61 Page:101859
  • ISSN:0736-5845
  • Container-title:Robotics and Computer-Integrated Manufacturing
  • language:en
  • Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Lins Romulo Gonçalves,de Araujo Paulo Ricardo Marques,Corazzim Marcio

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference40 articles.

1. Design of a machine tool control system for function reconfiguration and reuse in network environment;Yao;Robot. Comput. Integr. Manuf.,2019

2. Design techniques and applications of cyberphysical systems: a survey;Khaitan;IEEE Syst. J.,2015

3. Formal modeling and control of cyber-physical manufacturing systems;Yu;Adv. Mech. Eng.,2017

4. Digital twin-driven smart manufacturing: connotation, reference model, applications and research issues;Lu;Robot. Comput. Integr. Manuf.,2020

5. Development and evaluation of a model for modular automation in plant manufacturing;Katzke;ATP Int.,2004

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1. A tool wear monitoring method based on data-driven and physical output;Robotics and Computer-Integrated Manufacturing;2025-02

2. Measurement of bending deformation of sheet metal using machine vision;International Journal of Computer Integrated Manufacturing;2024-09-10

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

4. Toward digital twins for high-performance manufacturing: Tool wear monitoring in high-speed milling of thin-walled parts using domain knowledge;Robotics and Computer-Integrated Manufacturing;2024-08

5. An experimental study of multi-sensor tool wear monitoring and its application to predictive maintenance;The International Journal of Advanced Manufacturing Technology;2024-06-13
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