Author

Muhammad Jawad

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Open access Sep 2026

Machine Learning Based Predictive Modeling of Machining Performance of Ti-6Al-4V under MQL Lubricating Conditions

Evaluating the performance of machined Ti-6AI-4V alloy under Minimum Quantity lubrication (MQL) using machine learning models to support sustainable and efficient milling found the developed models offer a reliable data-driven framework for optimizing machining parameters and improving sustainability.

Muhammad Jawad, Ume Habiba, Bilal Hassan et al. · Engineering Headway · 0 citations