基于混合遗传算法的径向滑动轴承表面织构优化

发布时间：2018-02-09 04:57

本文关键词： 内燃机径向滑动轴承表面织构数值模拟曲轴轴承质量守恒边界条件遗传优化　出处：《交通运输工程学报》2017年03期 　论文类型：期刊论文

【摘要】：在内燃机曲轴系统的径向滑动轴承表面设计了球形凹坑织构,以改善润滑性能;为了获得最大的轴承承载力和最小的摩擦因数,提出了基于序列二次规划算法和遗传算法的混合进化优化方法,构建了径向滑动轴承球形凹坑织构的优化模型,对凹坑织构的分布位置和结构参数进行了全局寻优,得到了给定工况下最优的织构角度和最大深度;为了求解径向滑动轴承的承载力和摩擦因数,考虑曲轴和轴承表面粗糙度对油膜流动的影响,采用质量守恒的JFO空穴算法处理油膜的破裂和再形成行为,基于平均Reynolds方程和Greenwood-Tripp微凸体接触方程构建了球形凹坑织构径向滑动轴承的混合润滑模型,分析了球形凹坑织构的分布位置和结构参数(数量、面积率和最大深度)对径向滑动轴承承载力和摩擦因数的影响。分析结果表明:径向滑动轴承的承载力和摩擦因数是凹坑面积率的单调函数;存在最优的凹坑织构角度和最大深度使得径向滑动轴承的承载力最大与摩擦因数最小;当偏心率由0.3增加到0.7时,轴承承载力的提升量由13.38%下降到0.62%,摩擦因数的降低量由0.73%逐渐下降至负数,因此,当偏心率较小时,球形凹坑织构能够有效降低径向滑动轴承的摩擦因数,增大承载力,当偏心率较大时,球形凹坑织构无益于轴承摩擦因数的降低。
[Abstract]:Spherical pit texture was designed on the surface of radial sliding bearing of crankshaft system of internal combustion engine to improve lubricating performance, in order to obtain maximum bearing bearing capacity and minimum friction coefficient, A hybrid evolutionary optimization method based on sequential quadratic programming (SQP) and genetic algorithm (GA) is proposed. The optimization model of spherical pit texture of radial sliding bearing is constructed. The optimum texture angle and maximum depth are obtained under given working conditions. In order to solve the bearing capacity and friction coefficient of radial sliding bearing, the influence of the surface roughness of crankshaft and bearing on oil film flow is considered. The JFO cavitation algorithm of mass conservation is used to deal with the rupture and reformation behavior of oil film. Based on the average Reynolds equation and Greenwood-Tripp contact equation, a hybrid lubrication model of spherical hole-textured radial sliding bearing is established. The distribution position and structural parameters of spherical pit texture are analyzed. The effect of area ratio and maximum depth on bearing capacity and friction coefficient of radial sliding bearing is analyzed. The results show that the bearing capacity and friction coefficient of radial sliding bearing are monotonic functions of pit area ratio. The maximum bearing capacity and friction coefficient of radial sliding bearing are obtained by the existence of optimal pit texture angle and maximum depth, and when the eccentricity is increased from 0.3 to 0.7, The lifting capacity of bearing decreases from 13.38% to 0.62, and the friction coefficient decreases gradually from 0.73% to negative. Therefore, when the eccentricity is small, the spherical pit texture can effectively reduce the friction coefficient of radial sliding bearings and increase the bearing capacity. When the eccentricity is high, the spherical pit texture is not conducive to the reduction of bearing friction coefficient.
【作者单位】：西安理工大学印刷包装与数字媒体学院;重庆大学机械传动国家重点实验室;西安理工大学机械与精密仪器工程学院;
【基金】：国家自然科学基金项目(51375380) 机械传动国家重点实验室开放课题(SKLMT-KFKT-201510) 陕西省自然科学基金项目(2014JM2-5082) 陕西省教育厅科学研究计划项目(15JS068)
【分类号】：TK403;TP18

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