Optimization of Gear Design for Efficiency and Durability

Gears are the most common machine part used to transmit rotational motion and torque using a series of teeth that engage with compatible teeth of another gear or other part. Optimizing the working mechanism of the gear improves the efficiency of the machinery and improves the overall capability of the mechanism. Gear designs are directly influenced by constraints like strength, pitting resistance, tooth profile, bending stress, weight, and centre distance. Traditional optimization techniques often fail to yield optimal results so a genetic algorithm is employed to enhance the gear performance. Genetic algorithms are computational techniques derived from the principles of natural selection and evolution making them well-suited for optimization problems. Genetic algorithms are usually utilized to identify performance metrics and optimize them. Keywords: Genetic Algorithm, helix angle, crossover, Pareto solution, real-valued vectors, hyper parameters, hybridised algorithms