Multi-objective Optimization of a Two-Stage Helical Gearbox with Second Stage Double Gear Sets to Reduce Gearbox Length and Increase Gearbox Efficiency

The goal of this research is to look at multi-target optimization of a two-stage helical gearbox with second stage double gear sets (SSDGS) in order to find the best key design aspects to reduce gearbox length and enhance gearbox efficiency. 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 within variable levels, and then the multi-objective optimization problem was solved in order to discover the optimal major design variables. The coefficients of wheel face width (CWFW) of the first and second stages, allowed 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 helical gearbox with SSDGS.