一个混合分析和数据驱动的框架,用于优化辐射槽湿离合器几何
Mohammad Sadafi1, Amir F Najafi2, Alireza Jalali1
1School of Mechanical Engineering, College of Engineering, University of Tehran, P.O. Box 11365/4563, Tehran, Iran.
Scientific reports
|November 27, 2025
概括
优化辐射槽湿离合器显著降低了阻力扭矩,实现了超过70%的减速. 调整盘距离是最有效的,而槽角的影响最小.
科学领域:
- 机械工程 机械工程
- 流体动力学 流体动力学
- 部落学 (tribology) 是一个学科.
背景情况:
- 湿式离合器中的拉力扭矩源于油膜内盘的相对运动.
- 尽量减少阻力扭矩对于提高湿离合器系统的效率至关重要.
研究的目的:
- 为了优化辐射槽湿离合器的几何形状,以减少阻力扭矩.
- 开发和验证数据驱动的模型来预测拖动扭矩.
主要方法:
- 使用分析模型生成单相和多相流条件的数据集.
- 计算流体动力学 (CFD) 验证了分析模型的准确性 (最大8%的偏差).
- 人工神经网络和遗传算法被用于优化.
主要成果:
- 优化的几何结构在四个案例中实现了至少70%的阻力扭矩减少.
- 案例3显示,峰值阻力扭矩降低了97% (0.92至0.022).
- 参数研究显示磁盘距离是影响最大的参数 (86%的减少),槽角最小 (2%的减少).
结论:
- 数据驱动的优化有效地将辐射槽湿离合器中的拖动扭矩降到最低.
- 几何参数显著影响拖动扭矩,磁盘间距是一个关键因素.
- 开发的模型提供了一个有效的替代方案,以计算昂贵的数值模拟.
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