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Fei LYU1,2, 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, 1998, -1(-1): .
@article{title="A wear map-based wear prediction method for the piston/cylinder interface in axial piston machines",
author="Fei LYU1,2, Xudong SHEN1, Felix SCHLEGEL2, Xiaolong ZHANG1, Liangyu SONG1, Junhui ZHANG1, Katharina SCHMITZ2, Bing XU1",
journal="Journal of Zhejiang University Science A",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="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 LYU1
%A 2
%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
%V -1
%N -1
%P
%@ 1673-565X
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2500501
TY - JOUR
T1 - A wear map-based wear prediction method for the piston/cylinder interface in axial piston machines
A1 - Fei LYU1
A1 - 2
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
VL - -1
IS - -1
SP -
EP -
%@ 1673-565X
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2500501
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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