Title: Prediction on the operation performance of axial piston pump at low suction pressure
Authors: Miaomiao Wang; Zhimin Guo; Junjie Zhou; Guangming Sun; Wenpan Gao
Addresses: School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100080, China ' Linde Hydraulics (China) Co., Ltd, Weifang, 261000, China ' School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100080, China ' Linde Hydraulics (China) Co., Ltd, Weifang, 261000, China ' Linde Hydraulics (China) Co., Ltd, Weifang, 261000, China
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.
Keywords: axial piston pump; low suction pressure; operation performance; maximum operating speed; compressible liquid; cavitation.
International Journal of Computational Materials Science and Surface Engineering, 2021 Vol.10 No.1, pp.1 - 12
Received: 13 Jul 2020
Accepted: 02 Oct 2020
Published online: 28 Jul 2021 *