Multi-Objective Optimization of a Two-Stage Helical Gearbox to Increase Efficiency and Reduce Bottom Area

This paper presents the outcomes of a study on multi-objective optimization of a two-stage helical gearbox in establishing the ideal key design variables to decrease gearbox bottom area and gearbox efficiency. The Taguchi method and grey relation analysis (GRA) were used to solve the problem in two steps: first, a single-objective optimization problem was solved to close the gap within variable levels, and then a multi-objective optimization problem was solved to determine the optimal main design factors. The coefficients of wheel face width (CWFW) of the first and second stages, the allowed contact stresses (ACS) of the first and second stages, and the first stage’s gear ratio were also chosen. The study’s findings were used to determine the best values for five important design factors while designing a two-stage helical gearbox.