Application of SAW Technique to Solve Multi-objective Optimization of a Two-Stage Helical Gearbox for Reducing Bottom Area and Enhancing Efficiency
摘要
This work utilizes the Simple Additive Weighting (SAW) technique to address the Multi-Objective Optimization Problem (MOOP) associated with a two-stage helical gearbox. The objective is to identify the optimal crucial design components that will enhance the efficiency of the gearbox and reduce the surface area of the bottom part of the gearbox. This study deliberately chose three crucial design parameters: the gear ratio of the initial stage, and the coefficients of wheel face width (CWFW) for both the first and second stages. In addition, the SAW methodology was chosen as a method for Multi-Criteria Decision Making (MCDM) to address the MOOP, and the Multi-Expert Ranking Evaluation with Compensation (MEREC) technique was chosen to calculate the weight criterion. The study’s findings assist in determining the best values for three essential design parameters in the creation of a two-stage helical gearbox.