Modelling and Analysis of the Cone Coupling Problem Using Optimization

A coupling is a mechanism that transmits operative power between two shafts are revolving at different speeds. connects their ends and can slip or fail depending on the torque limit. It an essential component of any transmission system may survive for very long time if properly designed maintained. This study's current research, newly developed optimization algorithms used to minimize volume cone coupling. The study presented here compares modern metaheuristic methods optimizing design problem. particle swarm (PSO), crow search algorithm (CSA), enhanced honeybee mating (EHBMO), Harmony (HSA), Krill heard (KHA), Pattern (PSA), Charged (CSSA), Salp (SSA), Big bang big crunch (B-BBBCO), Gradient based Algorithm (GBA). performance these assessed both statistically subjectively. algorithms' evaluated quantitatively qualitatively using consistency, simplicity quality. experimental results clutch problem shows PSO produces greater than EHBMO, whereas CSA BBCO produce approximately identical results.