Multi-Objective Optimization of a Two-Stage Bevel Helical Gearbox to Increase Efficiency and Reduce Gearbox Height

The goal of this research involves investigating into multi-target optimization of two-stage bevel helical gearboxes in order to determine the optimum essential design parameters to reduce gearbox height while enhancing gearbox efficiency. In two stages, the Taguchi method and grey relation analysis (GRA) were used to solve the problem. First, the single-objective optimization problem was dealt with to narrow the gap within variable levels, followed by the multi-objective optimization problem to discover the optimal major design variables. The coefficients of wheel face width (CWFW) of the first and second stages, allowable contact stresses (ACS) of the first and second stages, and the first stage gear ratio were also determined. The study’s findings were utilized to identify the best values for five important elements for a two-stage bevel helical gearbox.