AI-Enhanced Thermal Analysis of SRM Components: A Fuzzy Logic Design Approach

This study investigates thermal effects in synchronous reluctance motors (SRM), focusing on rotor component analysis. The research evaluates temperature distribution across nodes/elements and examines heat flux distribution, deformations, Von-Mises stresses, and strains. Comparative analysis demonstrates that 1060 aluminium alloy exhibits superior thermal stability, maintaining 98% stress resistance against Ti-3Al-8V-4Mo alloy and 99% against Copper-Al-Bronze alloy. Thermal simulations reveal critical heat flux patterns and deformation characteristics under operational temperatures, providing essential data for SRM design optimization. The findings establish 1060 aluminium as the most thermally stable material for SRM rotors among the tested alloys. A Mamdani Type-1 fuzzy logic design methodology has been employed to create a Fuzzy Inference System (FIS). This system is designed to predict rotor behavior by analyzing input parameters, including speed, temperature, and the coefficient of thermal expansion. These results allow us to predict rotor behavior under various operating conditions.