Multi-objective Optimization of a Two-Stage Helical Gearbox to Increase Gearbox Efficiency and Decrease Gearbox Length

The purpose of this study is to examine multi-target optimization of a two-stage helical gearbox in order to identify the optimum critical design factors for reducing gearbox length and increasing gearbox efficiency. The Taguchi approach and grey relation analysis (GRA) were employed in two stages to solve the problem. The single-objective optimization problem was solved first in order to decrease the gap among variable levels, and then the multi-objective optimization problem was performed in order to find the best primary design variables. The first and second stage coefficients of wheel face width (CWFW), permissible contact stresses (ACS), and first stage gear ratio were also computed. The outcomes of the study were used to determine the optimal values for five essential design features of a two-stage helical gearbox.