Minimum Weight Optimization of a Gear Train by using Genetic Algorithm

Abstract

Gear design optimization consists of several objectives such as centre distance, weight, fatigue strength, tooth deflection depending on the requirements. Among these objectives the weight of a gear train is one of the best considerable designs, since many power transmission applications require low weight. The advanced optimization technique, Genetic Algorithm (GA) is used to find the optimal combination of design parameters for minimum weight of a gear train. The results of the proposed algorithm of various new design variable values along with additional constraints are compared with all required parameters. From the results it is observed that Genetic Algorithm gives better solutions for gear design.