Machine learning models for prediction and classification of tool wear in sustainable milling of additively manufactured 316 stainless steel

Machine learning models for prediction and classification of tool wear in sustainable milling of additively manufactured 316 stainless steel

Machine learning (ML) is a subfield of Artificial Intelligence (AI) that uses data, learns the hidden pattern from the data, and makes predictions for future instances with greater accuracy and prediction capabilities, not hallucination (overfitting) with the current data. The application of ML is q...

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Bibliographic Details
Main Authors: Mohd Danish, Munish Kumar Gupta, Sayed Ameenuddin Irfan, Sami Mansour Ghazali, Muhammad Faisal Rathore, Grzegorz M. Krolczyk, Ahmad Alsaady
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Results in Engineering
Subjects:
Industry 4.0
Additive manufacturing
Tool condition monitoring
Tool wear
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024002688

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http://www.sciencedirect.com/science/article/pii/S2590123024002688

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