Roughness parameters

被引:1677
作者
Gadelmawla, ES
Koura, MM
Maksoud, TMA [1 ]
Elewa, IM
Soliman, HH
机构
[1] Univ Glamorgan, Sch Design & Adv Technol, Pontypridd CF37 1DL, M Glam, Wales
[2] Univ Mansoura, Prod Engn & Mech Design Dept, Fac Engn, Mansoura, Egypt
[3] Ain Shams Univ, Fac Engn, Design & Prod Engn Dept, Cairo, Egypt
[4] Univ Mansoura, Elect & Commun Engn Dept, Fac Engn, Mansoura, Egypt
关键词
surface roughness; surface topography; computer vision;
D O I
10.1016/S0924-0136(02)00060-2
中图分类号
T [工业技术];
学科分类号
08 ;
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 Surf Vision developed by the authors. In the package, these definitions were extended to calculate the 3D surface topography of different specimens. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:133 / 145
页数:13
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