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This study employs the Multi-Attributive Ideal-Real Comparative Analysis (MAIRCA) technique to tackle the Multi-Objective Optimization Problem (MOOP) related to a two-stage helical gearbox. The goal is to determine the most effective key design elements that will improve the efficiency of the gearbox and decrease the surface area of the lower portion of the gearbox. This study intentionally selected three essential 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 MAIRCA approach was selected as a strategy for Multi-Criteria Decision Making (MCDM) to tackle the MOOP, and the Multi-Expert Ranking Evaluation with Compensation (MEREC) technique was chosen to compute the weight criterion. The study’s findings aid in defining the optimal values for three crucial design parameters in the development of a two-stage helical gearbox.

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Multi-objective Optimization of a Two-Stage Helical Gearbox to Reduce Bottom Area and Increase Efficiency Using MAIRCA Method

  • 会议论文

  • 发表日期：

    2026年

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  • Tran Quoc Hung,
  • Le Thi Phuong Thao,
  • Nguyen Thanh Tu,
  • Nguyen Ngoc Thieu,
  • Dinh Van Thanh,
  • Luu Anh Tung

摘要

This study employs the Multi-Attributive Ideal-Real Comparative Analysis (MAIRCA) technique to tackle the Multi-Objective Optimization Problem (MOOP) related to a two-stage helical gearbox. The goal is to determine the most effective key design elements that will improve the efficiency of the gearbox and decrease the surface area of the lower portion of the gearbox. This study intentionally selected three essential 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 MAIRCA approach was selected as a strategy for Multi-Criteria Decision Making (MCDM) to tackle the MOOP, and the Multi-Expert Ranking Evaluation with Compensation (MEREC) technique was chosen to compute the weight criterion. The study’s findings aid in defining the optimal values for three crucial design parameters in the development of a two-stage helical gearbox.