Surface roughness and fractal dimension

dc.contributor.authorMilitký, Jiří
dc.contributor.authorBajzík, Vladimír
dc.date.accessioned2016-07-08
dc.date.available2016-07-08
dc.date.issued2001
dc.description.abstractSurface roughness is one of the main characteristics of fabric responsible for hand feeling. By using KES, the surface height variation (SHV) trace is obtained. For characterization of roughness the mean absolute deviation (MAD; denoted by Kawabata as SMD) is usually used. The main aim of this work is quantitative description of complexity of roughness based on the SHV. The procedure of surface complexity parameters evaluation from SHV traces is described. The core is inspection of power spectral density and variogram (or autocorrelation function) behavior and classification of SHV signal to some groups. For individual groups, fractal dimension and surface roughness characteristics are computed by suitable methods. Proposed procedure was checked on the simulated SHV profiles and on practical examples.en
dc.formattext
dc.identifier.issn0040-5000
dc.identifier.scopus2-s2.0-24044483025
dc.identifier.urihttps://dspace.tul.cz/handle/15240/16659
dc.language.isoen
dc.publisherTextile Inst
dc.relation.ispartofJournal Of The Textile Institute
dc.sourcej-scopus
dc.sourcej-wok
dc.titleSurface roughness and fractal dimensionen
dc.typearticle
local.accessaccess
local.citation.epage113
local.citation.spage91
local.departmentDepartment of Textile Materials
local.facultyFaculty of Textile Engineering
local.fulltextyes
local.identifier.wok184987300010
local.notenefunguje RIV
local.relation.volume92
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Surface roughness and fractal dimension.pdf
Size:
1.43 MB
Format:
Adobe Portable Document Format
Description:
Collections