A predictive model and comparative analysis of machining indicators in turning AA7075 alloy in pursuit of sustainability
Published online on May 29, 2026
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 ...
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 ...