Mohamed Atmane Yallese

A machine learning prediction–optimisation framework for dry turning of grey cast iron to enhance machinability and prolong tool life: A comparative study of hybrid DNN, SVM and decision tree

This study addresses the dry turning of EN-GJL-250 grey cast iron and examines how insert coating, cutting parameters and machining duration affect tool wear, cutting force and surface roughness. The aim was to build an accurate prediction and optimisation framework. Three predictive models were compared: a decision...