On-line chatter detection in milling with hybrid machine learning and physics-based model-Reference-Cited by-同舟云学术

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On-line chatter detection in milling with hybrid machine learning and physics-based model

Published:2021-11 Issue: Volume:35 Page:25-40
ISSN:1755-5817
Container-title:CIRP Journal of Manufacturing Science and Technology
language:en
Short-container-title:CIRP Journal of Manufacturing Science and Technology

Author:

Rahimi M. Hossein,Huynh Hoai Nam,Altintas Yusuf

Funder

Natural Sciences and Engineering Research Council of Canada

Sandvik Coromant

Pratt and Whitney Canada

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering

Reference24 articles.

1. Advanced monitoring of machining operations;Teti;CIRP Ann,2010

2. Self-optimizing machining systems;Möhring;CIRP Ann – Manuf Technol,2020

3. Chatter stability of milling in frequency and discrete time domain;Altintas;CIRP J Manuf Sci Technol,2008

4. Use of audio signals for chatter detection and control;Delio;J Manuf Sci Eng Trans ASME,1992

5. Detection of chatter vibration in end milling applying disturbance observer;Kakinuma;CIRP Ann,2011

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2. Real-time chatter detection during turning operation using wavelet scattering network;The International Journal of Advanced Manufacturing Technology;2024-06-15

3. Chatter monitoring method of Ti-6Al-4V thin-walled parts based on MAML optimized transfer learning;The International Journal of Advanced Manufacturing Technology;2024-06-15

4. Hierarchical representation and interpretable learning for accelerated quality monitoring in machining process;CIRP Journal of Manufacturing Science and Technology;2024-06

5. Development of smart manufacturing framework for micromilling of thin-walled Ti6Al4V;Machining Science and Technology;2024-05-22

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