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In order to describe technical surfaces, a system of surface roughness parameters is available, which are highly indicative statistical tools in characterizing surface micro texture in industrial applications.
It suggests that fractal dimension which can describe surface roughness invariant with length scale than conventional roughness parameters should be used in characterizing surface topography.
This work presents a method of characterizing surface features of micro and nano scale based on the use of the Biharmonic equation as means of describing surface profiles whilst guaranteeing tangential (C1) continuity.
This work is to establish a proper algorithm of characterizing surface topographies mechanically processed by lathe turning and end-face milling, which is to provide accurate and convenient methods of modeling surfaces for predicting the TCR.
In this paper, frequency analysis of signals characterizing surface scanning is carried out to investigate the vibration spectrum measured on the finger and to highlight the changes shown in the vibration spectra as a function of characteristic contact parameters such as scanning speed, roughness and surface texture.
Such applications include inspecting modern materials such as composites, detecting and characterizing surface flaws, and evaluating the compressive strength of cement structures.
Similar(49)
The determination of the solid surface energy was achieved through characterizing surfaces.
Surface roughness evaluation is very important to characterize surface finish.
White-light interferometry was employed to characterize surface deformational state and its torsion.
Terrain attributes were computed to characterize surface structure and to examine correlations with mass change.
Fluorescence-activated cell sorting (FACS) analysis was performed to characterize surface antigen expression using the following conjugated antibodies: CD90 (FITC, Stem Cell Technologies, Grenoble, France), CD73 (phycoerythrin (PE), BD Biosciences, San Jose, CA), CD105 (FITC, Abcam), and CD49e (PE, BD Bioscience).
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