Image analysis method of surface roughness evaluation

Abstract

Purpose -The main aim of this paper is description of new apparatus and approach for contact less evaluation of surface roughness. For characterization of surface roughness, the procedures based on classical and non-classical (complexity) parameters are proposed. Design/methodology/approach -For obtaining the roughness profile in the selected direction (on the line transect of the surface), the special arrangements of textile bend around sharp edge is used. The image analysis is used for extraction of surface profile. The system of controlled movement allows one to obtain surface roughness profile in two dimensions. Findings -By using aggregation (cut length principle), the roughness resolution is decreased and roughness profile is created without local roughness variation. After application of cut length principle, the direct combination of slices leads to the creation of roughness surface. Research limitations/implications -There exists plenty of roughness characteristics based on standard statistics or analysis of spatial processes. For evaluation of suitability of these characteristics, it will be necessary to compare results from sets of textile surfaces. Practical implications -The measurement of fabric roughness by an RCM device is useful as simple tool for description of roughness in individual slices and in the whole rough plane. This method replaces the traditional contact stylus profiling methods Originality/value -The reconstruction of surface roughness from individual slices. The utilization of aggregation principle for creation of micro and macro roughness. The evaluation of roughness parameters based on the geometrical characteristics, harmonic analysis and complexity indices.

Surface roughness properties of polyester woven fabrics after abrasion

“…Ten roughness measurements were made on each replica (weft faced ones) with a cylindrical stylus and arm system, and the roughness values of a sample was calculated by using total 50 measurements. For the characterization of fabric surface roughness, the mean absolute deviation (MAD) (Equation (1)) was used (Militky & Mazal, 2007). This parameter is equal to the mean absolute difference of surface heights from average value (R a ).…”

Assessment of the effect of fabric constructional parameters on surface roughness of wool fabrics

“…Geometrical roughness only provides the upper and lower limits of variation in thickness of a fabric (Vassiliadis & Provatidis, 2004). The geometrical roughness characteristics of the fabrics provide information on their structural characteristics (Militky & Mazal, 2007). In general, there are two kinds of irregularities -a systematic variation arising from uniform fabric structures such as cord or ribs, and random variations caused by uneven threads or thread spacing (Ajayi, 1994).…”

Woven Fabrics Surface Quantification

“…Some of them are closely connected with characteristics computed from fractal models as fractal dimension and topothesy (Davies, 1999). A set of parameters for profile and surface characterization are collected in (Militký  Bajzík, 2003, Militký  Mazal, 2007. Parameters for profile and surface characterization can be generally divided into the following groups:…”

“…For this purpose, the sample holder is step by step moved in controlled manner. From set of these profiles, it is possible to reconstruct the surface roughness plane (Militký  Mazal, 2007).…”

“…The system RCM (Militký  Mazal, 2007) is composed from CCD camera, lighting system and special sample holder controlled by a personal computer (Fig. 7).…”