Critical Analysis of Randomly Rough Surfaces for Contact Mechanics Through Statistical Simulation

Ramírez, Miguel Ángel; Figueroa, Carlos; Jacobo, Víctor H.; Ortíz, A.; Schouwenaars, Rafael

doi:10.1007/978-981-13-0411-8_44

Cited by 1 publication

(1 citation statement)

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“…Ramírez et al summarized some methods used for the simulation of randomly rough surfaces and their characterization. Their numerical efficiency allowed for large-scale statistical simulation of contact behavior, which was analyzed through a generalized version of the classical Greenwood-Williamson model [5]. Wang et al developed a simulation method for generating non-Gaussian rough surfaces with desired autocorrelation function and spatial statistical parameters, including skewness and kurtosis.…”

Section: Introductionmentioning

confidence: 99%

Time-Varying Wear Calculation Method for Fractal Rough Surfaces of Friction Pairs

et al. 2023

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For the wear problem of the real rough surface during sliding friction, based on fractal theory and Hertz contact theory, a 3-D fractal rough surface with random characteristics is constructed, and the relationship between the wear deformation depth of the rough peak and its real contact area during the wear process is derived. Furthermore, considering the peak wear and pit scratch phenomena of rough surfaces in different contact states, the time-varying wear calculation model of the worn surface and the compensation wear calculation model of the unworn surface are established, respectively, and the relationship between the instantaneous wear amount and the dynamic change in the rough surface topography is comprehensively characterized. Combined with image digitization technology, the 3-D rough surface is converted into a 2-D discrete plane with 3-D information. According to the dynamic real-time update of the graph data, the iterative calculation of the wear cycle is completed, the time-varying wear calculation method for fractal rough surfaces of friction pairs is proposed, and the dynamic change in the wear amount and surface topography of the rough surface is simulated. The simulation results are experimentally verified and the influence of friction parameters on the surface topography is analyzed. The results show that after the wear simulation, the profile height of the rough surface is reduced, and the average wear depth is 0.02 mm. Increases in rotational speeds and external loads can exacerbate surface wear, surface topography tends to be flattened, and surface carrying capacity increases. This provides theoretical guidance for the development and manufacture of friction pairs.

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Section: Introductionmentioning

confidence: 99%