Optimization of Performance Parameters and Mechanism of Bionic Texture on Friction Surface
Source abstract
Abstract
In this paper, a variety of micro-textures made by imitating the biological body surface are mentioned, and four common biomimetic texture types—convex hull, pit, groove and corrugation—are summarized by referring to a large number of literatures. These texture types that are widely used are those of the grooves and the pits of non-smooth surface because their viscosity drag reduction effects are relatively optimal for wear-resistance; in view of these two types of textures (with others including pit diameter, groove width, depth and area of share, and morphology spacing), we use data analysis and comparisons to find optimal parameter values in order to find the optimal effect of drag reduction and anti-sticking wear-resistance. Several texture processing methods are briefly introduced through case analysis and an illustration of the viscosity drag reduction mechanism of wear-resistance, and general fluid dynamic pressure is deduced from a theory formula in order to facilitate future research work on the basis of the optimal parameters to further improve the friction, wear lubrication, and hydrophobic properties, thus improving the bionic texture surface efficiency of saving energy and reducing consumption in industrial applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Tribology and Lubrication Engineering · Adhesion, Friction, and Surface Interactions · Lubricants and Their Additives
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Mechanical Engineering, University of Jinan, Jinan 250022, Shandong, China
Funding
National Natural Science Foundation of China · Postdoctoral Science Foundation of China · Key Research and Development Program of Shandong Province, China · Agricultural Machinery Equipment Research and Development Innovation Plan of Shandong Province · Taishan Scholar Engineering Special Funding
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