Multi-objective Optimization of a Two-Stage Bevel Helical Gearbox to Increase Efficiency and Reduce Gearbox Across Section Area

The objective of this research is to look at multi-target optimization of two-stage bevel helical gearboxes with the goal of determining the ideal critical design aspects to reduce gearbox across section area (GASA) and boost gearbox efficiency (GE). In two stages, the Taguchi technique and grey relation analysis (GRA) were used to address the problem. First, the single-objective optimization issue was addressed in order to narrow the gap between variable levels, and then the multi-objective optimization problem was handled in order to identify 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 critical design aspects for a two-stage bevel helical gearbox.