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...

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Veröffentlicht in:	International journal of advanced manufacturing technology Jg. 129; H. 3-4; S. 1355 - 1374
Hauptverfasser:	Wang, Siqi, Yan, Shichao, Sun, Yuwen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.11.2023 Springer Nature B.V
Schlagworte:	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-Zugang:	Volltext
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