Investigation of optimal feature for milling chatter identification using supervised machine learning techniques-Reference-Cited by-同舟云学术

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Investigation of optimal feature for milling chatter identification using supervised machine learning techniques

Published:2023-06 Issue: Volume: Page:100138
ISSN:2307-1877
Container-title:Journal of Engineering Research
language:en
Short-container-title:Journal of Engineering Research

Author:

Mishra Rohit^ORCID,Kiran Matta S.N.S.,Maheswaram Manikantadhar,Upadhyay Akshat,Singh Bhagat

Publisher

Elsevier BV

Subject

General Engineering

Reference51 articles.

1. Special aspects of chatter in milling;Tlusty;Am. Soc. Mech. Eng. (Pap.),1981

2. Theory of regenerative machine tool chatter;Tobias,1958

3. Polycrystalline diamond as a potential material for the hard-on-hard bearing of total hip prosthesis: von mises stress analysis;Ammarullah;Biomedicines,2023

4. Adopted walking condition for computational simulation approach on bearing of hip joint prosthesis: review over the past 30 years;Jamari;Heliyon,2022

5. Analysis of contact pressure in a 3D model of dual-mobility hip joint prosthesis under a gait cycle;Tauviqirrahman;Sci. Rep.,2023

Cited by 2 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. Identification of end-milling chatter based on comprehensive feature fusion;Engineering Research Express;2024-07-22

2. Cutting chatter recognition based on spectrum characteristics and extreme gradient boosting;The International Journal of Advanced Manufacturing Technology;2024-03-06

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