Multi-Objective Optimization of a Two-Stage Helical Gearbox to Enhance Efficiency and Reduce Length Using MARCOS Method
摘要
This study presents the utilization of the MARCOS technique to address the Multi-Objective Optimization Problem (MOOP) associated with a two-stage helical gearbox. The objective is to identify the optimal major design variables that will enhance gearbox efficiency and minimize gearbox length. This study selected three essential design parameters: the gear ratio of the first stage, and the coefficients of wheel face width (CWFW) for both the first and second stages. Additionally, the deliberate selection of the MARCOS technique as a Multi-Criteria Decision Making (MCDM) method was made to address the challenge of multi-objective optimization. Furthermore, the MEREC approach was chosen for the calculation of the weight criterion. The study's findings facilitate the determination of the optimal values for three critical design parameters in the development of a two-stage helical gearbox.