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This work displays the utilization of the Evaluation by an Area-based Method of Ranking (EAMR) approach to address the Multi-Objective Optimization Problem (MOOP) involved with a two-stage helical gearbox. The objective is to identify the optimal key design variables that will enhance gearbox efficiency and minimize gearbox length. This study deliberately selects 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. Moreover, the thoughtful selection of the EAMR methodology as a Multi-Criteria Decision Making (MCDM) method was selected to address the challenge of multi-objective optimization. Furthermore, the Multi-Expert Ranking Evaluation with Compensation (MEREC) technique was chosen to calculate the weight criterion. The study’s findings assist in determining the most advantageous values for three crucial design parameters in the development of a two-stage helical gearbox.

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Solving Multi-objective Optimization of a Two-Stage Helical Gearbox to Reduce Length and Enhance Efficiency Using EAMR Technique

  • 会议论文

  • 发表日期：

    2026年

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  • Dinh Van Thanh,
  • Tran Ngoc Giang,
  • Nguyen Ngoc Thieu,
  • Vu Duc Binh,
  • Nguyen Thanh Tu

摘要

This work displays the utilization of the Evaluation by an Area-based Method of Ranking (EAMR) approach to address the Multi-Objective Optimization Problem (MOOP) involved with a two-stage helical gearbox. The objective is to identify the optimal key design variables that will enhance gearbox efficiency and minimize gearbox length. This study deliberately selects 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. Moreover, the thoughtful selection of the EAMR methodology as a Multi-Criteria Decision Making (MCDM) method was selected to address the challenge of multi-objective optimization. Furthermore, the Multi-Expert Ranking Evaluation with Compensation (MEREC) technique was chosen to calculate the weight criterion. The study’s findings assist in determining the most advantageous values for three crucial design parameters in the development of a two-stage helical gearbox.