Computational methods for the detection of wear and damage to milling tools

Author:

Ninevski Dimitar,Thaler Julia,O'Leary Paul,Klünsner Thomas,Mücke Manfred,Hanna Lukas,Teppernegg Tamara,Treichler Martin,Peissl Patrick,Czettl Christoph

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference19 articles.

1. Review of tool condition monitoring methods in milling processes;Yuqing;IntJAdvManufTechnol,2018

2. An automated monitoring solution for avoiding an increased number of surface anomalies during milling of aerospace alloys;Marinescu;IntJMachToolsManuf,2011

3. In-process machine vision monitoring of tool wear for cyber-physical production systems;Lins;RobotComputIntegrManuf,2020

4. Generalized modeling of milling mechanics and dynamics: part i - helical end mills;Engin,1999

5. Real-time tool wear monitoring in milling using a cutting condition independent method;Nouri;Int J Mach Tool Manuf,2015

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1. Effect of Annealing on Microstructure and Tensile Properties of Selective Laser Melting MAR-M509 Superalloy;Journal of Materials Engineering and Performance;2024-08-28

2. Instrumented Milling Process and Analysis for Tool Wear Measurement;2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2023-05-22

3. Milling Fault Detection Method Based on Fault Tree Analysis and Hierarchical Belief Rule Base;Computer Systems Science and Engineering;2023

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