Deni Haryadi

Electrical Discharge Machining of Titanium Alloys: A Comprehensive Review of Process Variants, Sustainable Dielectrics, Intelligent Optimization, and Biomedical–Aerospace Applications

The application of machine learning frameworks including artificial neural networks, genetic algorithms, support vector machines, XGBoost, and particle swarm optimization has transformed parameter optimisation, enabling accurate prediction of MRR, tool wear rate (TWR), surface roughness, and recast layer thickness.