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Optimization of tooth modifications for multi-mesh helical gears in order to minimize transmission error: Robust optimization of profile and longitudinal modifications using Particle Swarm algorithm

机译:多网螺旋齿轮的牙齿修改优化,以最小化传输误差:使用粒子群算法的概况和纵向修改的鲁棒优化

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The aim of this work is to build up tools allowing the optimization of teeth modifications for multi-mesh helical gears, which are crucial for the static transmission error (STE). The micro-geometrical parameters studied are crowning, tip relieves and start diameters for these relieves. The modifications have also to be adapted for a large torque range. The most influencing parameters are identified through a Taguchi's experimentation method. Optimization of added up STE amplitudes on the idler gear is done using heuristic method, i.e., the particle swarm method. Finally robustness of the solutions towards manufacturing errors and applied torque is analyzed in order to decide which tooth modifications to choose.
机译:这项工作的目的是建立允许优化用于多网螺旋齿轮的齿改性的工具,这对于静态传输误差(STE)至关重要。 所研究的微观几何参数是凸起,尖端可缓解和启动直径,用于这些缓解。 修改也适用于大的扭矩范围。 通过Taguchi的实验方法确定最大的影响参数。 使用启发式方法,即粒子群方法,使用启发式方法进行惰轮上的附加的STE幅度的优化。 终于分析了制造误差和施加扭矩的解决方案的鲁棒性,以便确定要选择的牙齿修改。

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