Multi-objective optimization of micron-scale surface textures for the cylinder/valve plate interface in axial piston pumps

Multi-objective optimization of micron-scale surface textures for the cylinder/valve plate interface in axial piston pumps
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轴向柱塞泵气缸/阀板界面微米级表面纹理的多目标优化

DOI:
10.1016/j.triboint.2019.06.002
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发表时间:
2019-10-01
影响因子:
6.2
通讯作者:
Liu, Gan
Liu, Gan
中科院分区:
工程技术1区
文献类型:
--
作者:
Chen, Yuan;Zhang, Junhui;Liu, Gan

文献摘要

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将油膜润滑模型、缸筒动力学模型和基于非支配排序遗传算法(NSGA-II)的多目标优化模型耦合起来,建立了轴向柱塞泵多尺度织构化缸筒/配流盘界面的优化模型。考虑了时变圆柱微动。以机械和容积损失最小为目标,对工业泵和电动静液致动器(EHA)泵的凹坑形状进行了优化。评估了具有数百个最佳微米级凹痕的大规模纹理的毫米级界面。在比较了EHA泵的两种凹坑布置后,发现运动轨迹形和水滴形凹坑平均分别降低了8.2%和9.9%的摩擦扭矩和泄漏。
An optimization model is established for the multi-scale textured cylinder/valve plate interface in axial piston pumps by coupling the lubrication model of the oil film, the cylinder dynamic model and the multi-objective optimization model based on the Non-dominated Sorting Genetic Algorithm (NSGA-II). The time-varying cylinder micro-motions are considered. Aiming to minimize both the mechanical and volumetric losses, optimal dimple shapes are obtained for an industrial pump and an electro-hydrostatic actuator (EHA) pump. The millimetre-scale interfaces which are large-scale textured with hundreds of the optimal micron-scale dimples are evaluated. After comparing two dimple arrangements for the EHA pump, the athletic-track-shaped and waterdrop-shaped dimples are found to reduce the friction torque and leakage by 8.2% and 9.9% on average, respectively.