Prediction on the operation performance of axial piston pump at low suction pressure

Q3 Engineering
Miaomiao Wang, Zhimin Guo, Junjie Zhou, Guangming Sun, Wenpan Gao
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引用次数: 0

Abstract

The operation performance of the axial piston pump is affected by external environment pressure, and its conditions at low suction pressure are less studied. The oil model and fluid dynamic model of the axial piston pump are developed and a novel approach for predicting the operation performance of such machines at low suction pressure based on this model is presented. It was found that the inlet pressure of the suction chamber changes linearly with the environment pressure. Compared to the present data from the product manual, this approach is proved to be valid and is used to predict the maximum operating speed and suction pressure at other environment pressure, therefore the low-pressure operating performance map is enriched for the referring of more users of the pump. In future, this study provides a new method for the prediction and the design guide of pump operation at low suction pressures.
轴向柱塞泵低吸压工况性能预测
轴向柱塞泵的运行性能受外界环境压力的影响,对其在低吸入压力下的工况研究较少。建立了轴向柱塞泵的油液模型和流体动力学模型,并在此基础上提出了一种预测轴向柱塞泵在低吸入压力下运行性能的新方法。研究发现,吸入室的入口压力与环境压力呈线性变化。与产品手册中的现有数据相比,该方法被证明是有效的,并用于预测其他环境压力下的最大运行速度和吸入压力,因此丰富了低压运行性能图,供更多的泵用户参考。该研究为泵在低吸入压力下的运行预测和设计提供了一种新的方法和指导。
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
3
期刊介绍: IJCMSSE is a refereed international journal that aims to provide a blend of theoretical and applied study of computational materials science and surface engineering. The scope of IJCMSSE original scientific papers that describe computer methods of modelling, simulation, and prediction for designing materials and structures at all length scales. The Editors-in-Chief of IJCMSSE encourage the submission of fundamental and interdisciplinary contributions on materials science and engineering, surface engineering and computational methods of modelling, simulation, and prediction. Papers published in IJCMSSE involve the solution of current problems, in which it is necessary to apply computational materials science and surface engineering methods for solving relevant engineering problems.
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