Published Paper Details:

Helical gears work quietly and smoothly under heavy loads. Their design optimization includes multiple objectives and large number of design variables. Thus, a reliable and robust optimization technique will be useful to achieve the optimal design solutions. The optimization of helical gear drive can be carried out using different non-conventional optimization techniques like genetic algorithm, particle swarm optimization and ant colony optimization, etc. In the present work, volume optimization of helical gear drive is carried out using genetic algorithm. Several factors for the strength and size based on DIN standards are considered from the literature. The formulation of multivariable, constrained non-linear optimization problem with derived objective function and constraints is presented. The volume minimization using genetic algorithm is performed in MATLAB and results obtained are found to be satisfactory.This optimum set of parameters is used for modeling of helical gear pair by CREO 4.0 Software Now import the helical gear pair for stress analysis by using ANSYS 16.2 software and find that the stress value is less than the permissible stress of case hardened steel.