Fractal and multifractal characterization of wear surface dynamics for tribopairs in bi-directional seawater pump

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-05-05 DOI:10.1016/j.measurement.2025.117763

Songlin Nie, Li Shi, Hao He, Hui Ji, Fanglong Yin, Zhonghai Ma

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Abstract

Traditional roughness parameters are inadequate for characterizing the multi-scale wear surface features for tribopairs in bidirectional seawater pump. This study employs fractal theory, specifically using the box-counting method to calculate the fractal dimension and multifractal spectrum, to investigate the dynamic evolution of carbon fiber polyether ether ketone (CF-PEEK) / 17-4PH stainless steel tribopair under bidirectional sliding conditions. In line with the actual operating conditions of the bidirectional seawater pump, ball-on-disk wear tests were conducted at a load of 20 N, a sliding speed of 0.4 m/s, and commutation frequency (C = 0 ∼ 80). The sensitivity of the fractal dimension was found to be 5.6 times higher than that of traditional surface roughness (R_a) at C = 80, indicating its potential as a high-resolution tool for dynamic monitoring. The multifractal spectrum analysis reveals that lower commutation frequencies (C ≤ 20) result in increased surface fluctuations, whereas higher commutation frequencies stabilize the lubrication layer. Fractal theory effectively captures the dynamic wear surface characteristics, while the multifractal spectrum provides a foundation for monitoring lubrication states and optimizing maintenance strategies for the tribopairs in bi-directional seawater pump.

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双向海水泵摩擦副磨损面动力学的分形和多重分形表征

传统的粗糙度参数不足以表征双向泵摩擦副的多尺度磨损表面特征。本研究采用分形理论，具体采用盒计数法计算分维数和多重分形谱，研究双向滑动条件下碳纤维聚醚醚酮(CF-PEEK) / 17-4PH不锈钢摩擦副的动态演化。根据双向海水泵的实际工况，在载荷为20 N、滑动速度为0.4 m/s、换相频率（C = 0 ~ 80）的条件下，进行了球盘磨损试验。在C = 80时，分形维数的灵敏度比传统表面粗糙度（Ra）的灵敏度高5.6倍，表明其作为高分辨率动态监测工具的潜力。多重分形谱分析表明，较低的换向频率（C≤20）导致表面波动增加，而较高的换向频率则使润滑层稳定。分形理论有效地捕捉了双向海水泵摩擦副的动态磨损表面特征，多重分形谱为监测摩擦副的润滑状态和优化维护策略提供了基础。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.