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

• Published in: Machines (Basel) Vol. 11; no. 7; p. 716
• Main Authors: Tran, Huu-Danh, Le, Xuan-Hung, Nguyen, Thi-Thanh-Nga, Hoang, Xuan-Tu, Trieu, Quy-Huy, Vu, Ngoc-Pi
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2023
• Subjects: Bearings; Bevels; Contact stresses; Design factors; Design optimization; Design parameters; Efficiency; Friction; gear ratio; Gear ratios; gearbox; Gearboxes; grey relational analysis; Helical gears; Mathematical optimization; multi-objective optimization; Multiple criteria decision making; Multiple objective analysis; Objectives; Optimization; Ratios; Taguchi method; Taguchi methods; Taguchi methods (Quality control); two-stage bevel helical gearbox; Velocity; Vietnam
• ISSN: 2075-1702; 2075-1702
• DOI: 10.3390/machines11070716

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