行星摆线轮齿形精确设计

The Accurate Design of Tooth Profile for Planetary Cycloidal Gear

根据行星摆线齿轮的形成理论,应用神经网络方法实现行星摆线轮的齿形精确设计。该方法建立了齿轮参数与齿形之间的BP神经网络非线性关系模型。仿真实验表明,采用神经网络的非线性逼近特性进行摆线轮齿形模拟设计,能精确、快速地模拟出摆线轮齿形;该方法适用于非渐开线齿轮齿形的设计。

Based on the forming theory of planetary cycloidal gear, using simulative method of BP neural network, the tooth profile of planetary cycloidal gear is accurately designed. The nonlinear model is established between the gear parameter and profile by BP neural networks in the method. The simulating experiment proves that adopt the neural network s nonlinear simulation characteristic to design tooth profile of cycloidal gear can implement more precise and shorten the design period; The method apply profile design for the non-involute gear.