Issue |
JNWPU
Volume 37, Number 5, October 2019
|
|
---|---|---|
Page(s) | 1060 - 1069 | |
DOI | https://doi.org/10.1051/jnwpu/20193751060 | |
Published online | 14 January 2020 |
Leakage and Volumetric Efficiency Analysis and Seal Improvement of Internal Gear Pump with Multi Output
多输出内啮合齿轮泵泄漏与容积效率分析及密封改进
College of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
Received:
8
October
2018
Based on the analysis of the structural characteristics of the internal meshing gear pump with multi-output, the main leakage ways in the gear pump are summarized. By establishing the mathematical formula of leakage, the general formula of the total leakage of the gear pump under three working modes is obtained, and the volume efficiency of the pump is calculated. It is concluded that the volume efficiency of the internal meshing gear pump with multi output is the highest when the internal pump is used alone, and the volume efficiency of the external pump alone is the lowest. The structure of internal gear pump with multi output is improved to reduce the leakage and is verified via experiments. The experimental results show that the volumetric efficiency of the pump is consistent with the analysis results, that is, the volume efficiency decreases with the increasing of load pressure of pump.
摘要
基于多输出内啮合齿轮泵结构特性的分析,总结出齿轮泵的主要泄漏途径。通过建立泄漏的数学计算公式,得出3种工作方式下齿轮泵总泄漏量的一般公式,并对泵的容积效率进行了理论计算,得出多输出内啮合齿轮泵采用内泵单独工作时的容积效率最高,外泵单独工作容积效率最低。改进多输出内啮合齿轮泵的结构来减少泄漏,并进行实验验证。实验表明,泵的容积效率总体变化规律与理论分析一致,即随着泵负载压力的升高,容积效率降低。
Key words: multiple output / internal gear pump / instantaneous theoretical flow / leakage / volumetric efficiency
关键字 : 多输出 / 内啮合齿轮泵 / 瞬时理论流量 / 泄漏 / 容积效率
© 2019 Journal of Northwestern Polytechnical University. All rights reserved.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.