Machine Learning Offers No Advantage over the Garofalo–Arrhenius Model for Peak Flow Stress Prediction in Hot Torsion of AA6061-T6: A Single-Source Benchmarking Study
This study demonstrates that for small, well-characterized, single-source datasets of AA6061-T6 hot torsion, the classical Garofalo–Arrhenius constitutive model performs as accurately as and is statistically indistinguishable from advanced machine learning regressors, challenging claims of ML superiority in such contexts.