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384975

WEAR PREDICTION IN AXIAL PISTON PUMPS USING FINITE ELEMENT MODELING

Article

Last updated: 25 Dec 2024

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Tags

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Abstract

The service life of axial piston pumps, renowned for their high power-to-weight ratio and durability, can be compromised by wear, leading to safety risks and costly maintenance. This study investigates the factors that reduce service life, focusing on adhesive wear in the barrel-valve plate contact pair. A dynamic model based on the finite element method (FEM) is developed to predict wear using Archard's theory, while a computational fluid dynamics (CFD) model evaluates internal pressure distribution. The analysis shows that differential pressure causes the barrel to tilt toward the valve plate, accelerating wear. Through the design of experiments (DOE) techniques, the impact of critical operational parameters - discharge pressure and rotational speed - is quantified, revealing their significant influence on wear rates. Low pressure and speed increase wear, emphasizing careful management of these conditions. Additionally, load fluctuations accelerate wear, underscoring the importance of maintaining consistent operating conditions. Understanding these factors can help extend the service life of axial piston pumps, improve safety, and reduce maintenance costs.

DOI

10.21608/jest.2024.326602.1106

Keywords

Wear, Axial piston pump, Finite element method, Computational Fluid Dynamic, ARCHARD theory

Authors

First Name

Mohamed H.

Last Name

El-shazly

MiddleName

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Affiliation

Department of Mechanical Design and Production Engineering, Cairo University, Giza, EGYPT.

Email

melshazly@eng.cu.edu.eg

City

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Orcid

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First Name

Shenouda A.

Last Name

Zaki

MiddleName

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Affiliation

Department of Mechanical Design and Production Engineering, Cairo University, Giza, EGYPT.

Email

shenouda.201920428@eng-st.cu.edu.eg

City

-

Orcid

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Volume

21

Article Issue

4

Related Issue

50878

Issue Date

2024-10-01

Receive Date

2024-10-07

Publish Date

2024-10-08

Page Start

135

Page End

166

Print ISSN

2090-5882

Online ISSN

2090-5955

Link

https://jest.journals.ekb.eg/article_384975.html

Detail API

https://jest.journals.ekb.eg/service?article_code=384975

Order

384,975

Type

Original Article

Type Code

1,211

Publication Type

Journal

Publication Title

Journal of the Egyptian Society of Tribology

Publication Link

https://jest.journals.ekb.eg/

MainTitle

WEAR PREDICTION IN AXIAL PISTON PUMPS USING FINITE ELEMENT MODELING

Details

Type

Article

Created At

25 Dec 2024