JZUS - Journal of Zhejiang University SCIENCE

Journal of Zhejiang University SCIENCE A

Accepted manuscript available online (unedited version)

A wear map-based wear prediction method for the piston/cylinder interface in axial piston machines

Author(s): Fei LYU^1, ², Xudong SHEN¹, Felix SCHLEGEL², Xiaolong ZHANG¹, Liangyu SONG¹, Junhui ZHANG¹, Katharina SCHMITZ², Bing XU¹
Affiliation(s): ¹State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310058, China ²Institute for Fluid Power Drives and Systems (ifas), RWTH Aachen University, Aachen 52074, Germany
Corresponding email(s): Xiaolong ZHANG, zhang.xl@zju.edu.cn
Key Words: Wear map; Wear evolution; Mixed lubrication; Piston/cylinder interface; Axial piston machine

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Fei LYU^1,², Xudong SHEN¹, Felix SCHLEGEL², Xiaolong ZHANG¹, Liangyu SONG¹, Junhui ZHANG¹, Katharina SCHMITZ², Bing XU¹. A wear map-based wear prediction method for the piston/cylinder interface in axial piston machines[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2500501

@article{title="A wear map-based wear prediction method for the piston/cylinder interface in axial piston machines",
author="Fei LYU^1,², Xudong SHEN¹, Felix SCHLEGEL², Xiaolong ZHANG¹, Liangyu SONG¹, Junhui ZHANG¹, Katharina SCHMITZ², Bing XU¹",
journal="Journal of Zhejiang University Science A",
year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/jzus.A2500501"
}

%0 Journal Article
%T A wear map-based wear prediction method for the piston/cylinder interface in axial piston machines
%A Fei LYU^1
%A²
%A Xudong SHEN¹
%A Felix SCHLEGEL²
%A Xiaolong ZHANG¹
%A Liangyu SONG¹
%A Junhui ZHANG¹
%A Katharina SCHMITZ²
%A Bing XU¹
%J Journal of Zhejiang University SCIENCE A
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%@ 1673-565X
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%I Zhejiang University Press & Springer
doi="https://doi.org/10.1631/jzus.A2500501"

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T1 - A wear map-based wear prediction method for the piston/cylinder interface in axial piston machines
A1 - Fei LYU^{1
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A1 - Xudong SHEN¹
A1 - Felix SCHLEGEL²
A1 - Xiaolong ZHANG¹
A1 - Liangyu SONG¹
A1 - Junhui ZHANG¹
A1 - Katharina SCHMITZ²
A1 - Bing XU¹
J0 - Journal of Zhejiang University Science A
SP -
EP -
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Y1 - in press
PB - Zhejiang University Press & Springer
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doi="https://doi.org/10.1631/jzus.A2500501"

Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: Understanding the wear behavior of the piston/cylinder interface (PCI) is critical for improving the reliability and service life of axial piston machines (APMs). Existing PCI wear prediction methods often rely on one or two predefined wear models, for example the Archard model, with simplified mechanism switching. However, the PCI inherently experiences multiple coexisting contact states. In this paper, we propose a wear map-based wear prediction method. The operating conditions that can comprehensively represent the contact states across the entire interface are simulated by a mixed lubrication model and are then used as a matrix input into tribometer tests to measure a map of the wear rate. The wear map establishes the quantitative correlations between the contact states and the wear rate and can be embedded into an existing PCI wear prediction framework. An APM wear test showed that our proposed method could track the wear evolution process and capture the wear redistribution in the end region of the cylinder bore under the investigated operating conditions.

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