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Tool wear prediction and machining performance improvement using regression algorithms and the non-dominated sorting genetic algorithm II in the milling of Ti2AlNb intermetallic

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Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Ahead of Print.
Ti2AlNb intermetallic is a crucial material for advanced aero engines. Improper cutting parameters for milling Ti2AlNb intermetallic increase tool wear and reduce tool life. Therefore, predicting tool wear and selecting appropriate cutting parameters in ...