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What is ML Approaches for Cutting Force Prediction about?

This paper reviews the prediction of cutting force in machining processes, highlighting the significance of accurate predictions for tool wear, stability, and surface quality. It discusses traditional methods based on analytical models and finite element analysis, as well as the emerging application of machine learning algorithms, which offer improved accuracy and efficiency. The authors emphasize the challenges faced by current algorithms and the potential for future advancements in real-time prediction ca

Author

Parag Mangave

Language

EN