Investigation of Tensile Flow Behavior of Al–Mg Alloy at Warm Temperature: Constitutive Modelling and Microstructural Evolution

The flow behavior of the AA5052 alloy in a fully annealed state was analyzed across a range of temperatures: 25, 100, 200, and 300 °C, and five strain rates: 0.001, 0.005, 0.01, 0.05, and 0.1 s −1 . The flow curved depicted an inverse sensitivity with test temperature however, very little positive sensitivity was observed for strain rate at higher temperatures. Notably, type-B serrations were noted at temperatures below 100 °C and lower strain rates of 0.01 s −1 . To quantify the flow behavior, three distinct prediction models were utilized: artificial neural network (ANN), Johnson–Cook (J–C) and Modified Arrhenius (M-A) model, where ANN model demonstrated notably enhanced prediction accuracy with Average Absolute Relative Error (AARE) of 1.77%, as compared 3.42% and 4.26% for J–C and M-A models, respectively. Furthermore, structure-property correlation was established by conducting electron backscatter diffraction (EBSD) analysis on identical tensile samples subjected to a strain of 17% under varying test conditions. The Kernel Average Misorientation (KAM) was found to be higher (0.84°) at 0.01 s −1 strain rate as compared to 0.001 s −1 (0.74°) confirming the occurrence of dynamic recovery at lower strain rate. However, the maximum average Grain Orientation Spread (GOS) was found to be 3.6° at 300 °C and 0.001 s −1 strain rate confirming the absence of recrystallization at any of the test conditions due to the low strain level. Graphical Abstract