Steady-State Flow Characteristics and End Clearance Optimization of Internal Gear Grease Pump

Author:

Li Xinjian1ORCID,Tang Lingfeng1,Qian Ming1

Affiliation:

1. School of Mechanical Engineering, Anhui Polytechnic University, Wuhu, Anhui 241000, China

Abstract

The internal gear grease pump is a mechanical device used for transfer of high viscosity fluid. The existing clearance between the end faces of the internal or external gear and the floating side plate might cause pump leakage during operation. In order to obtain the optimal end clearance of the internal gear grease pump, the rheological features of the lubricating lithium-based grease for various temperatures are explored via rotating rheometer. Shear force and apparent viscosity are chosen as monitored experimental parameters. The experimental data is fitted to obtain grease rheological features at various temperatures. The end clearance flow field model and the leakage model are established. Fluent software is employed for solving the flow field model and exploring the effect of temperature, end clearance, and speed on grease leakage. Superior grease flow performance is observed with an increase in temperature, which makes it to easier for the grease to leak from the end clearance. With an increase in the end clearance and the working pressure of the pump, an increase in leakage is also observed. Furthermore, it is found that rotational speed also affects the pump leakage. The leakage mechanism is obtained by combining the rheological features of the grease at the end clearance. The mathematical model method is utilized to solve for the optimal value of the end clearance.

Funder

Natural Science Foundation of Anhui Province

Publisher

Hindawi Limited

Subject

General Engineering,General Materials Science

Reference22 articles.

1. Gerotor Pumps for Automotive Drivetrain Applications: A Multi Domain Simulation Approach

2. Calculation of Unloading Area of Internal Gear Pump and Optimization

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4. Optimization design of internal gear pump based on improved particle swarm optimization;S. YuanJing;Journal of Mechanical Strength,2019

5. Optimization design of multi-teeth parallel internal gear pump based on genetic algorithm;J. Zhang;Modern Manufacturing Engineering,2018

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