This paper presents the resolution of the Multi-Objective Optimization Problem (MOOP) for a two-stage helical gearbox with double gears in the first stage using a Multi-Criteria Decision Making (MCDM) technique. The objective is to identify the most effective design components that will reduce the length of the gearbox and improve its efficiency. Furthermore, the analysis focused on three essential design parameters: the gear ratio of the initial stage, and the coefficients of wheel face width (CWFW) for the first and second stages. Furthermore, the MEREC technique was utilized to ascertain the weight criteria for resolving the MOOP, whereas the MAIRCA technique was chosen to tackle the MCDM problem. The study's findings are significant for identifying the optimal values for three important design parameters for constructing a two-stage helical gearbox with double gears in the first stage.

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Application of MAIRCA Technique for Solving Multi-objective Optimization of a Two-Stage Helical Gearbox with Double Gears in Fisrt Stage

  • Le Duc Bao,
  • Bui Thanh Hien,
  • Le Xuan Hung,
  • Hoang Xuan Tu

摘要

This paper presents the resolution of the Multi-Objective Optimization Problem (MOOP) for a two-stage helical gearbox with double gears in the first stage using a Multi-Criteria Decision Making (MCDM) technique. The objective is to identify the most effective design components that will reduce the length of the gearbox and improve its efficiency. Furthermore, the analysis focused on three essential design parameters: the gear ratio of the initial stage, and the coefficients of wheel face width (CWFW) for the first and second stages. Furthermore, the MEREC technique was utilized to ascertain the weight criteria for resolving the MOOP, whereas the MAIRCA technique was chosen to tackle the MCDM problem. The study's findings are significant for identifying the optimal values for three important design parameters for constructing a two-stage helical gearbox with double gears in the first stage.