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Tool wear intelligent monitoring techniques in cutting: a review.

Authors :
Cheng, Yaonan
Gai, Xiaoyu
Guan, Rui
Jin, Yingbo
Lu, Mengda
Ding, Ya
Source :
Journal of Mechanical Science & Technology; Jan2023, Vol. 37 Issue 1, p289-303, 15p
Publication Year :
2023

Abstract

Tool wear is inevitable in cutting process. If tool wear failure is not detected in time, it will lead to abnormal cutting process and affect the machining efficiency and quality seriously. The intelligent monitoring of tool wear can make the machining system perceive the real-time status of tools in advance and make early warning and decision-making, which is an effective way to ensure the efficient operation of machining and manufacturing system. By reviewing the research status of intelligent monitoring of tool wear, the key technical principles and methods of multisource-correlation signal selection, feature extraction and pattern recognition are classified. On the basis, the current application status of tool wear monitoring is discussed. In view of its shortcomings, this paper puts forward the prospect of the future, in order to provide a theoretical basis and reference for the development of tool wear intelligent monitoring technology and intelligent manufacturing industry. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1738494X
Volume :
37
Issue :
1
Database :
Complementary Index
Journal :
Journal of Mechanical Science & Technology
Publication Type :
Academic Journal
Accession number :
161271356
Full Text :
https://doi.org/10.1007/s12206-022-1229-9