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Two-Process Random Textures: Measurement, Characterization, Modeling and Tribological Impact: A Review
Pawel Pawlus1, Rafal Reizer2, Wieslaw Żelasko3
1Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Powstancow Warszawy 8 Street, 35-959 Rzeszow, Poland.
Two-process random textures offer superior functional properties compared to one-process surfaces. This study details their measurement, characterization, and modeling, revealing their impact on contact mechanics, friction, and wear.
Area of Science:
- Tribology
- Surface Engineering
- Mechanical Engineering
Background:
- Two-process random textures, like plateau-honed cylinder surfaces, are common in machined elements.
- Existing knowledge on the measurement, modeling, and behavior of these textures is limited.
- These surfaces are highly sensitive to measurement errors and challenging to model.
Purpose of the Study:
- To present methods for measuring, characterizing, and modeling two-process textures.
- To analyze the functional impact of these textures, focusing on contact mechanics, friction, and wear.
- To address future challenges in understanding and utilizing two-process textures.
Main Methods:
- Development of special characterization methods for two-process textures.
- Analysis of measurement sensitivity and modeling difficulties.
- Experimental and computational studies on contact mechanics, friction, and wear.
Main Results:
- Two-process textures exhibit distinct functional properties compared to one-process surfaces.
- The plateau component influences asperity contact, while the valley component affects hydrodynamic lubrication.
- Understanding texture nature is crucial for analyzing machined element properties.
Conclusions:
- Two-process textures require specialized approaches for accurate measurement and modeling.
- Their unique characteristics significantly impact tribological behavior (friction and wear).
- Further research is needed to fully exploit the benefits of two-process textures in engineering applications.
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