Scholarlink

This work presents an application of the TOPSIS approach to address the Multi-Objective Optimization Problem (MOOP) associated with a two-stage helical gearbox. The objective is to identify the optimal key design variables that will enhance gearbox efficiency and minimize gearbox bottom area. This study deliberately chosen three key 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 careful choice of the TOPSIS technique 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 selecting the most advantageous values for three key design parameters in the design of a two-stage helical gearbox.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Application of TOPSIS Technique for Multi-objective Optimization of a Two-Stage Helical Gearbox to Reduce Bottom Area and Increase Efficiency

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Vu Duc Binh,
  • Hoang Thi Tham,
  • Do Thi Tam,
  • Dinh Van Thanh,
  • Vu Duong,
  • Truong Thi Thu Huong

摘要

This work presents an application of the TOPSIS approach to address the Multi-Objective Optimization Problem (MOOP) associated with a two-stage helical gearbox. The objective is to identify the optimal key design variables that will enhance gearbox efficiency and minimize gearbox bottom area. This study deliberately chosen three key 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 careful choice of the TOPSIS technique 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 selecting the most advantageous values for three key design parameters in the design of a two-stage helical gearbox.