Multi-objective Optimization of a Two-Stage Helical Gearbox with Double Gears in Second Stage to Reduce Bottom Area and Enhance Efficiency Using TOPSIS Method
摘要
This work shows the application of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodology in addressing the Multi-Objective Optimization Problem (MOOP) of a two-stage helical gearbox with double gears in the second stage. The purpose is to identify the optimal key design variables that will enhance gearbox efficiency and lower gearbox bottom area. For this work, three important design parameters were selected: the gear ratio of the first stage, and the coefficients of wheel face width (Xba) for both the first and second stages. Furthermore, the TOPSIS technique was chosen to solve the Multi-Criteria Decision Making (MCDM) work and the MEREC method was selected to compute the weight criterion for solving the MOOP. The study’s findings facilitate the determination of the optimal values for three essential design parameters in the development of a two-stage helical gearbox with double gears in the second stage.