Tool Wear Prediction in Machining of Aluminum Matrix Composites with the Use of Machine Learning Models

This paper discusses the diagnostic models of tool wear during face milling of Aluminum Matrix Composite (AMC), classified as a difficult-to-cut material. Prediction and classification models were considered. The models were based on one-dimensional simple regression or on multidimensional regressio...

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Veröffentlicht in:Materials 2024-11, Vol.17 (23), p.5783
Hauptverfasser: Hamrol, Adam, Tabaszewski, Maciej, Kujawińska, Agnieszka, Czyżycki, Jakub
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Sprache:eng
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