LAPSE:2020.1250
Published Article
LAPSE:2020.1250
Viscous Loss Analysis of the Flooded Electro-Hydrostatic Actuator Motor under Laminar and Turbulent Flow States
Yanpeng Li, Zongxia Jiao, Tian Yu, Yaoxing Shang
December 22, 2020
The electro-hydrostatic actuator (EHA) is one of the most prevalent types of power-by-wire (PBW) actuation systems. With the increase in EHA power density, using the pump’s leakage oil to cool the motor has been gradually adopted to solve the problem of excessive motor temperature. However, the viscous friction loss caused by the liquid viscosity will seriously affect the heat dissipation effect and dynamic performance of the motor. To calculate the motor viscosity loss accurately, a novel calculation method is proposed in this paper. Using the energy gradient theory, the relationship between the fluid flow state and the rotation speed is analyzed. In addition, the lumped parameter model of viscous loss is established by using the conservation of momentum theory and computational fluid dynamics (CFD) simulation. A test rig is designed to test the viscous friction loss for various rotation speeds, and the test results show a good agreement with the theoretical analysis. The present results demonstrate the effectiveness of the lumped parameter model and provide a better calculation method for wet motor viscosity loss calculation.
Keywords
electro-hydrostatic actuator (EHA), energy gradient theory, lumped parameter model, motor, viscous friction loss
Subject
Suggested Citation
Li Y, Jiao Z, Yu T, Shang Y. Viscous Loss Analysis of the Flooded Electro-Hydrostatic Actuator Motor under Laminar and Turbulent Flow States. (2020). LAPSE:2020.1250
Author Affiliations
Li Y: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Jiao Z: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Yu T: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Shang Y: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Journal Name
Processes
Volume
8
Issue
8
Article Number
E975
Year
2020
Publication Date
2020-08-12
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8080975, Publication Type: Journal Article
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LAPSE:2020.1250
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doi:10.3390/pr8080975
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Dec 22, 2020
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CC BY 4.0
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[v1] (Original Submission)
Dec 22, 2020
 
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Dec 22, 2020
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Original Submitter
Calvin Tsay
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