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This work presents the application of a Multi-Criteria Decision Making (MCDM) technique for solving the Multi-Objective Optimization Problem (MOOP) associated with a two-stage helical gearbox with double gears in the second stage. The objective is to figure out the most useful key design components that will enhance gearbox efficiency and reduce gearbox length. Furthermore, the research particularly evaluated three important design parameters: the gear ratio of the initial stage, as well as the coefficients of wheel face width (CWFW) for both the first and second stages. In addition, the Evaluation by an Area-based Method of Ranking (EAMR) technique was chosen to address the Multi-Criteria Decision Making (MCDM) job, while the Multi-Expert Ranking Evaluation with Compensation (MEREC) technique was used to identify the weight criterion for addressing the Multi-Objective Optimization Problem (MOOP). The study's findings aid in establishing the optimal values for three crucial design parameters while designing a two-stage helical gearbox with double gears in the second stage.

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Multi-Objective Optimization of a Two-Stage Helical Gearbox with Double Gears in Second Stage to Reduce Length and Increase Efficiency Using EAMR Technique

  • 会议论文

  • 发表日期：

    2025年

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  • Dinh Van Thanh,
  • Nguyen Van Tung,
  • Tran Quoc Hung,
  • Nguyen Khac Minh

摘要

This work presents the application of a Multi-Criteria Decision Making (MCDM) technique for solving the Multi-Objective Optimization Problem (MOOP) associated with a two-stage helical gearbox with double gears in the second stage. The objective is to figure out the most useful key design components that will enhance gearbox efficiency and reduce gearbox length. Furthermore, the research particularly evaluated three important design parameters: the gear ratio of the initial stage, as well as the coefficients of wheel face width (CWFW) for both the first and second stages. In addition, the Evaluation by an Area-based Method of Ranking (EAMR) technique was chosen to address the Multi-Criteria Decision Making (MCDM) job, while the Multi-Expert Ranking Evaluation with Compensation (MEREC) technique was used to identify the weight criterion for addressing the Multi-Objective Optimization Problem (MOOP). The study's findings aid in establishing the optimal values for three crucial design parameters while designing a two-stage helical gearbox with double gears in the second stage.