Milling tool condition monitoring for difficult-to-cut materials based on NCAE and IGWO-SVM

Tool wear will induce a series of problems such as surface quality degradation, poor dimensional accuracy, and low machining efficiency. Tool condition monitoring (TCM) is essential for meeting the demands of high precision and productivity in automatic machining. However, due to the high complexity...

Full description

Saved in:

Bibliographic Details
Published in:	International journal of advanced manufacturing technology Vol. 129; no. 3-4; pp. 1355 - 1374
Main Authors:	Wang, Siqi, Yan, Shichao, Sun, Yuwen
Format:	Journal Article
Language:	English
Published:	London Springer London 01.11.2023 Springer Nature B.V
Subjects:	Accuracy Algorithms CAE) and Design Computer-Aided Engineering (CAD Dynamic characteristics Engineering Frequency analysis Frequency domain analysis Industrial and Production Engineering Machinery condition monitoring Mechanical Engineering Media Management Milling (machining) Optimization Original Article Support vector machines Surface properties Time domain analysis Tool wear Wavelet analysis Milling cutters Support vector machine Grey wolf optimizer Tool wear monitoring Nonnegativity-constrained autoencoder
ISSN:	0268-3768, 1433-3015
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!