Multi-Objective Optimization of a Two-Stage Helical Gearbox Sets to Reduce Gearbox Volume and Improve Gearbox Efficiency

Abstract

The goal of this research is to look into multi-target optimization of a two-stage helical gearbox with second-stage double gear sets (SSDGS) in order to find the best critical design parameters for reducing gearbox volume and increasing gearbox efficiency. In two steps, the Taguchi technique and gray-relation analysis (GRA) were used to solve the problem. The single-objective optimization problem was faced first to narrow the gap between variable levels, and then the multi-objective optimization problem was solved to determine the optimal primary design variables. The first and second stage wheel face width coefficients (CWFW), permissible contact stresses (ACS), and first stage gear ratio were also calculated. The study's findings were utilized to identify the best values for five critical design parameters of a two-stage helical gearbox with SSDGS