Sustainable Engineering Design: Accelerating Thermoelastic Stress Prediction in Hybrid SiC–Ti6Al4V Components via Machine Learning
This study investigates the thermoelastic behavior of a rotating hollow cylinder composed of an equivalent SiC–Ti6Al4V hybrid material under combined thermal and centrifugal loading. A closed-form analytical solution based on plane strain theory was developed to evaluate radial, circumferential, axial, and von Mises st...