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Review of AI-based methods for chatter detection in machining based on bibliometric analysis

  • Published:2022-09 Issue:5-6 Volume:122 Page:2161-2186
  • ISSN:0268-3768
  • Container-title:The International Journal of Advanced Manufacturing Technology
  • language:en
  • Short-container-title:Int J Adv Manuf Technol

Author:

Kounta Cheick Abdoul Kadir AORCID,Arnaud Lionel,Kamsu-Foguem Bernard,Tangara Fana

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference113 articles.

1. Taylor FW (1906) On the art of cutting metals. Trans ASME 29:31–350

2. Tlustý J, Špaček L (1954) Samobuzené kmity v obráběcích strojích. ČSAV

3. Tobias S, Fishwick W (1958) Theory of regenerative machine tool chatter. Engineer 205(7):199–203

4. Tlusty J (1963) The stability of the machine tool against self-excited vibration in machining. Proc Int Res Prod Eng Pittsburgh ASME 465

5. Merrit H (1965) Theory of self-excited machine-tool chatter. Trans ASME J Eng Ind 87(4):447

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2. Transfer Learning in CNC Milling Machines for Chatter Detection using LSTM-AutoEncoders;2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM);2024-07-15

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

4. Bibliometric Analysis of Reconfigurable Antennas in Radar Applications;Advances in Wireless Technologies and Telecommunication;2024-04-12

5. Chatter Identification in Milling of Titanium Alloy Using Machine Learning Approaches with Non-Linear Features of Cutting Force and Vibration Signatures;International Journal of Prognostics and Health Management;2024-03-12
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