INDUSTRIAL GEAR TRANSMISSION ERROR MINIMIZATION OPTIMIZATION GA ALGORITHM

Today's competitive market required to optimize Weight and Volume of the gear design. Weight and Volume optimization of gear pairs is difficult to solve because it includes various objectives and large number of variables. Therefore, to solve such difficulty robust optimization technique will be useful to get optimal solution. Genetic algorithm will be useful to solve such difficulty using MATLAB. In this work a helical gear pair design optimization problem is solved. It is a multi-variable, complex non-linear problem with derived objective function and constraints. The objective is to minimize the volume of the gear. The design parameters considered are module, face width, number of teeth on drive and driven and helix angle. Results indicate that GA algorithm gives the best results for all design variables and objective function in helical gear design.