Multi-Objective Optimization of a Two-Stage Helical Gearbox to Enhance Efficiency and Reduce Bottom Area Using MARCOS Technique
摘要
This study applies the Measurement of Alternatives and Ranking according to COmpromise solution (MARCOS) technique to solve the Multi-Objective Optimization Problem (MOOP) related to a two-stage helical gearbox. The goal is to determine the most effective critical design elements that will improve gearbox efficiency and minimize the bottom area of the gearbox. This study intentionally selected three key design parameters: the gear ratio of the initial stage, and the coefficients of wheel face width (CWFW) for both the first and second stages. Furthermore, the MARCOS technique was selected as a Multi-Criteria Decision Making (MCDM) method to solve the MOOP and the Multi-Expert Ranking Evaluation with Compensation (MEREC) technique was selected to compute the weight criterion. The study's findings aid in determining the optimal values for three crucial design parameters in the development of a two-stage helical gearbox.