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This study demonstrates the application of a Multi-Criteria Decision Making (MCDM) technique to solve the Multi-Objective Optimization Problem (MOOP) related to a two-stage helical gearbox with double gear sets in the second stage. The goal is to determine the most advantageous critical design elements that will improve gearbox efficiency and minimize gearbox dimensions. In addition, the analysis specifically examined three key design parameters: the gear ratio of the first stage, as well as the coefficients of wheel face width (CWFW) for both the first and second stages. Furthermore, the Multi-Attributive Ideal–Real Comparative Analysis (MAIRCA) technique was chosen to tackle the MCDM task, and the Multi-Expert Ranking Evaluation with Compensation (MEREC) technique was selected to calculate the weight criterion for solving the MOOP. The study’s findings help determine the best values for three important design parameters in creating a two-stage helical gearbox with second-stage double gear sets.

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Using MAIRCA Technique for Solving Multi-objective Optimization of a Two-Stage Helical Gearbox with Second Stage Double Gear-Sets to Improve Efficiency and Decrease Length

  • 会议论文

  • 发表日期：

    2025年

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  • Tran Quoc Hung,
  • Tran Thi Phuong Thao,
  • Truong Thi Thu Huong,
  • Dinh Van Thanh,
  • Nguyen Thanh Tu

摘要

This study demonstrates the application of a Multi-Criteria Decision Making (MCDM) technique to solve the Multi-Objective Optimization Problem (MOOP) related to a two-stage helical gearbox with double gear sets in the second stage. The goal is to determine the most advantageous critical design elements that will improve gearbox efficiency and minimize gearbox dimensions. In addition, the analysis specifically examined three key design parameters: the gear ratio of the first stage, as well as the coefficients of wheel face width (CWFW) for both the first and second stages. Furthermore, the Multi-Attributive Ideal–Real Comparative Analysis (MAIRCA) technique was chosen to tackle the MCDM task, and the Multi-Expert Ranking Evaluation with Compensation (MEREC) technique was selected to calculate the weight criterion for solving the MOOP. The study’s findings help determine the best values for three important design parameters in creating a two-stage helical gearbox with second-stage double gear sets.