半环形无级变速器的几何结构优化

S. Akbarzadeh, H. Zohoor
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引用次数: 3

摘要

建立了半环面无级变速器的转矩传递效率与变速器几何形状、传动比和输入转矩的关系模型。影响半环面无级变速器性能的主要指标有转矩传递效率、变矩器重量、滚子疲劳寿命和轴承转矩损失。滚轮曲率、动力滚轮数、长径比和半锥角等几何特性的变化对这些准则的影响各不相同。因此,为了找到每个几何参数的最优数量,就需要开发一个优化问题。该优化问题的目标函数包括转矩传递效率、系统重量、滚子疲劳寿命和转矩损失的逆函数。在选择合适的权重因子后,采用遗传算法对目标函数进行最小化。结果表明,本文提出的几何结构可使变分器的效率提高到94.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing the Geometry of a Half-Toroidal CVT
In this research a model is developed which calculates the torque transmission efficiency of a half-toroidal CVT as a function of variator geometry, gear ratio and input torque. The different criteria which are considered to be important in a half toroidal CVT performance are torque transmission efficiency, variator weight, roller fatigue life and bearing torque loss. Variation of geometrical characteristics such as roller curvature, number of power rollers, aspect ratio and half cone angle affect these criteria in different ways. Therefore, in order to find the optimal quantity for each geometrical parameter an optimization problem should be developed. The objective function of this optimization problem consists of inverse of torque transmission efficiency, system weight, roller fatigue life and torque loss. After choosing the appropriate weight factors, the Genetic Algorithm method is employed to minimize the objective function. It is believed that the geometry proposed in this paper can increase the efficiency of the variator to 94.4 percent.
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