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Multi-objective optimization of hypoid gears to improve operating characteristics

机译:双轨齿轮的多目标优化,提高操作特性

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In this paper a multi-objective optimization method of hypoid gears correlating to the operating characteristics is presented. Optimal design of hypoid gears demands that multiple objectives be simultaneously achieved. Four objectives considered in this study are the minimization of the maximum tooth contact pressure, transmission error and the average temperature in the gear mesh, and the maximization of the mechanical efficiency of the gear pair. The goals of the optimization are achieved by the optimal modification of meshing teeth surfaces. In practice, these modifications are introduced by applying the appropriate machine tool setting for the manufacture of the pinion and the gear, and/or by using a tool with an optimized profile. The proposed optimization procedure relies heavily on the loaded tooth contact analysis for the prediction of tooth contact pressure distribution and transmission errors, and on the mixed elastohydrodynamic analysis of lubrication to determine temperature and efficiency. A fast elitist nondominated sorting genetic algorithm (NSGA-II) is applied to solve the model. The effectiveness of the method is demonstrated by using hypoid gear examples. The obtained results have shown that by the optimization considerable improvements in the operating characteristics of the gear pair are achieved. (C) 2019 The Author. Published by Elsevier Ltd.
机译:本文提出了一种与操作特性相关的双瓦齿轮的多目标优化方法。斜面齿轮的最佳设计要求同时实现多种目标。本研究中考虑的四个目标是齿轮网的最大齿接触压力,透射误差和平均温度的最小化,以及齿轮对的机械效率的最大化。通过啮合齿表面的最佳改变来实现优化的目标。在实践中,通过应用用于制造小齿轮和齿轮的适当机床和齿轮,和/或通过使用具有优化型材的工具来引入这些修改。所提出的优化过程严重依赖于装载牙齿接触分析,用于预测牙齿接触压力分布和传输误差,以及润滑的混合弹性流体动力学分析,以确定温度和效率。应用快速的Elitist Nondinated分类遗传算法(NSGA-II)来解决模型。通过使用双瓦齿轮示例来证明该方法的有效性。所得到的结果表明,通过优化齿轮对的操作特性的显着改进。 (c)2019年作者。 elsevier有限公司出版

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