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.

基于磨损图的轴向柱塞泵/马达柱塞副磨损预测方法

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