Multi-Objective Optimization of a Two-stage Helical Gearbox with Second Stage Double Gear Sets to Decrease Gearbox Bottom Area and Improve Gearbox Efficiency

Abstract

Introduction: The purpose of this study is to investigate multi-target optimization of a two-stage helical gearbox with second stage double gear sets (SSDGS) in order to identify the optimum essential design parameters for reducing gearbox bottom area and increasing gearbox efficiency. The Taguchi approach and grey relation analysis (GRA) were employed to solve the problem in two steps. The single-objective optimization problem was handled first in order to decrease the gap among variable levels, and then the multi-objective optimization problem was tackled in order to identify 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 parameters of a two-stage helical gearbox with SSDGS.