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国外文献 > 1.轴承 > 4. 设计与分析 > 算法与优化

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标 题： Adaptive Multi-Objective Optimum Design of Journal Bearing Based on a Back-Stepping Approach
基于回溯步进法的调心轴承自适应多目标最优设计
作 者： LI YUANSHENG
LI LEI
YU MING
YUE ZHUFENG
关键词： Multi-Objective Optimum Design  [多目标最优设计]
Back-Stepping Method  [ 后退步骤法]
Genetic Algorithm  [ 遗传算法]
Thermohydrodynamic Lubrication Model  [ 热流体动力润滑模型]
Journal Bearing  [ 滚动轴承]
出版年： 2012
期刊名： Tribology Transactions
摩擦学 Transactions
年卷期： 2012, vol.55, no.1
摘 要： This article describes an adaptive multi-objective optimization journal bearing design method based on a backstepping approach. Thermohydrodynamic lubrication analysis was used for accurate prediction of lubricant flow and power loss. The multi-objective optimization design method based on a back-stepping method was used to search for the optimum journal bearing design that can adaptively identify the equilibrium position of journal bearings and avoid iteration for the calculation of the equilibrium position of journal bearings. In the optimum journal bearing design, design variables such as radius, bearing length, radial clearance, journal eccentricity ratio, and attitude angle are used to simultaneously minimize oil flow and power loss. Comparisons between the adaptive optimization method and the conventional iteration method show that the proposed method can reduce the computational time of the optimization procedure, and the ability to find a diverse set of solutions was improved with the adaptive optimization methodology.

本文介绍了一种基于回溯法的自适应多目标优化主轴轴承设计方法。采用热流体动力润滑分析，以精确预测润滑油流动和功率损耗。通过基于回溯法的多目标优化设计方法，可寻找最优主轴轴承设计方案，实现对主轴轴承平衡位置的自适应识别，从而避免反复迭代计算平衡位置。在最优主轴轴承设计中，利用半径、轴承长度、径向间隙、主轴偏心率比及倾角等设计变量，同时最小化油流和功率损耗。与传统迭代法相比，自适应优化方法显著缩短了优化计算时间，并提升了寻找多样化解集的能力。
中文内容为网络AI翻译，专业术语未必准确，仅供参考。

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