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Tool Wear Prediction Data for Al-1061 Turning by jaikeshsenthilkumar1111 is a document available to read on EtoBox.

What is Tool Wear Prediction Data for Al-1061 Turning about?

This document presents an experimental dataset aimed at predicting tool wear during the turning of Al-1061 alloy using high-speed steel cutting tools. The study investigates the effects of various cutting parameters such as cutting speed, feed rate, and radial depth of cut on tool wear, employing a full factorial design and least squares method for analysis. The findings are intended to aid in optimizing machining operations and understanding the relationship between cutting tools and workpiece materials.

Author

jaikeshsenthilkumar1111

Language

EN