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The aim of this research is to enhance the efficiency of a bevel gear set while minimizing vibrations by optimizing the machining parameters used in the manufacturing process. The study utilizes the Non-dominated Sorting Genetic Algorithm II (NSGA II) for analysis. It specifically targets the micro-geometry of the gears, focusing on two decision variables: lengthwise and profile crowning. Sensitivity to manufacturing errors is also examined to evaluate the responsiveness of selected solution points. The findings indicate that important tooth profile modification leading to further reduction in gear meshing losses is unnecessary, as the overall power losses are decreasing at a slower rate and transmission error increases.

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Multi-objective Optimization of the Thermal and Vibration Behavior for a Spiral Bevel Gear Set

  • 会议论文

  • 发表日期：

    2026年

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  • Wassim Ramdane,
  • Christophe Changenet,
  • Jérôme Bruyere,
  • Philippe Velex,
  • Cyril Chevrel—Fraux,
  • Pierre Casanova

摘要

The aim of this research is to enhance the efficiency of a bevel gear set while minimizing vibrations by optimizing the machining parameters used in the manufacturing process. The study utilizes the Non-dominated Sorting Genetic Algorithm II (NSGA II) for analysis. It specifically targets the micro-geometry of the gears, focusing on two decision variables: lengthwise and profile crowning. Sensitivity to manufacturing errors is also examined to evaluate the responsiveness of selected solution points. The findings indicate that important tooth profile modification leading to further reduction in gear meshing losses is unnecessary, as the overall power losses are decreasing at a slower rate and transmission error increases.