Predictive Modelling of Steel Corrosion: A Comparative Study of Statistical and Machine Learning Methods with a Focus on Copper Behavior
Accurately predicting corrosion rates in low-alloy steels is a significant challengein materials engineering due to the intricate and nonlinear interaction between environmental exposure conditions and alloying elements. Conventional statistical corrosion models are by and large based on linear assumptions, and thereby...