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Roughness parameters

机译:粗糙度参数

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摘要

Surface roughness evaluation is very important for many fundamental problems such as friction, contact deformation, heat and electric current conduction, tightness of contact joints and positional accuracy. For this reason surface roughness has been the subject of experimental and theoretical investigations for many decades. The real surface geometry is so complicated that a finite number of parameters cannot provide a full description. If the number of parameters used is increased, a more accurate description can be obtained. This is one of the reasons for introducing new parameters for surface evaluation. Surface roughness parameters are normally categorised into three groups according to its functionality. These groups are defined as amplitude parameters, spacing parameters, and hybrid parameters. This paper illustrates the definitions and the mathematical formulae for about 59 of the roughness parameters. This collection of surface roughness parameter was used in a new software computer vision package called SurfVision developed by the authors. In the package, these definitions were extended to calculate the 3D surface topography of different specimens.
机译:表面粗糙度评估对于许多基本问题非常重要,例如摩擦,接触变形,导热和导电,接触接头的紧密度和位置精度。因此,几十年来,表面粗糙度一直是实验和理论研究的主题。实际表面的几何结构是如此复杂,以至于有限数量的参数无法提供完整的描述。如果使用的参数数量增加,则可以获得更准确的描述。这是为表面评估引入新参数的原因之一。表面粗糙度参数通常根据其功能分为三类。这些组定义为振幅参数,间隔参数和混合参数。本文说明了约59个粗糙度参数的定义和数学公式。这组表面粗糙度参数用于由作者开发的名为SurfVision的新软件计算机视觉程序包中。在包装中,这些定义被扩展为计算不同样品的3D表面形貌。

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