Sustainable Engineering Design: Accelerating Thermoelastic Stress Prediction in Hybrid SiC–Ti6Al4V Components via Machine Learning
The results showed that thermal loading is the dominant factor governing the stress response, while the influence of rotational speed remains secondary within the investigated range, and the proposed analytical–machine learning framework provides an accurate and computationally efficient approach for thermoelastic anal...