Method for evaluating tribological properties of soft matter based on optical observation and image processing

By employing optical observation and image processing methods, the problem of inaccurate measurement of porous soft materials using traditional optical techniques has been solved, enabling multi-dimensional evaluation and dynamic optimization of lubrication performance and providing a scientific basis for material design and optimization.

CN122329971APending Publication Date: 2026-07-03QINGDAO UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
QINGDAO UNIV OF TECH
Filing Date
2026-03-18
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing technologies cannot accurately and quantitatively evaluate the lubrication performance of porous soft materials. Traditional optical observation techniques suffer from low signal-to-noise ratio and blurred features in porous and non-homogeneous materials, making it impossible to observe the real-time distribution of lubricant and transient surface deformation.

Method used

Using an optical observation and image processing approach, fluorescence images and mechanical parameters are acquired synchronously through a time-series synchronization mechanism. A multi-dimensional evaluation index system is constructed, and a quantitative correlation model is established by combining multi-channel adaptive weighted fusion and noise suppression algorithms to achieve comprehensive scoring and dynamic optimization of lubrication performance.

Benefits of technology

This study achieved high-precision in-situ observation of the lubrication performance of non-homogeneous, porous soft materials, established a multi-dimensional lubrication performance evaluation system, and revealed the migration and distribution changes of lubricants during dynamic contact processes, providing a scientific basis for material design and optimization.

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Abstract

This invention relates to the field of soft matter material testing and evaluation technology, specifically to a method for evaluating the tribological properties of soft matter based on optical observation and image processing. The method includes: establishing a time-series synchronization mechanism; synchronous acquisition; image recognition and processing; constructing a multi-dimensional evaluation index system; establishing a quantitative correlation model; comprehensively scoring the lubrication performance of the soft matter material based on the multi-dimensional evaluation index system and the quantitative correlation model to form a material lubrication performance level evaluation; and controlling experimental parameters based on real-time feedback of the evaluation results. When liquid film rupture or uneven distribution is detected, the loading force or motion frequency is dynamically adjusted to achieve dynamic optimization evaluation of the lubrication performance of the soft matter material. This application effectively overcomes the inherent light scattering, refraction, and interference problems of porous soft matter materials, achieving high-precision in-situ observation of the interface state of soft matter materials, and solving the fundamental problem that traditional optical interferometry techniques cannot accurately measure or clearly observe such materials.
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