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A predictive model and comparative analysis of machining indicators in turning AA7075 alloy in pursuit of sustainability

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Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
Forecasting the performance of machining operations heavily rely on the determination of real-life conditions in digital models. Such an approach maximizes productivity and minimizes time and cost outcomes. Aluminum alloys have broad utilization in the ...