Application of the Taguchi Method and Grey Relational Analysis for Multi-Objective Optimization of a Two-Stage Bevel Helical Gearbox

This paper introduces a novel approach to deal with the multi-objective optimization of two-stage bevel helical gearbox by applying Taguchi method and Grey Relation Analysis (GRA). The goal study is find optimal main design factors that minimize volume maximize efficiency. To accomplish this, five parameters were selected: coefficients wheel face width (CWFW) gear sets, allowable contact stresses (ACS) first second stages, ratio stage. Furthermore, two single targets investigated: minimum volumes, maximum Also, problem solved through steps: Step 1 for closing gap between variable levels 2 determining factors. study’s findings used introduce optimum values major designing gearbox.