Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools

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dc.contributor.authorHotař, Vlastimil
dc.contributor.authorSalač, Petr
dc.date.accessioned2016-05-24
dc.date.available2016-05-24
dc.date.issued2014
dc.description.abstractStructured and complex data can be found in many applications in research and development, and also in industrial practice. We developed a methodology for describing the structured data complexity and applied it in development and industrial practice. The methodology uses fractal dimension together with statistical tools and with software modification is able to analyse data in a form of sequence (signals, surface roughness), 2D images, and dividing lines. The methodology had not been tested for a relatively large collection of data. For this reason, samples with structured surfaces produced with different technologies and properties were measured and evaluated with many types of parameters. The paper intends to analyse data measured by a surface roughness tester. The methodology shown compares standard and nonstandard parameters, searches the optimal parameters for a complete analysis, and specifies the sensitivity to directionality of samples for these types of surfaces. The text presents application of fractal geometry (fractal dimension) for complex surface analysis in combination with standard roughness parameters (statistical tool).en
dc.description.sponsorshipMinistry of Education, Youth and Sports [LO1201]; OPR&DI Project Centre for Nanomaterials, Advanced Technologies and Innovation [CZ.1.05/2.1.00/01.0005]; Grant of Students Grant Contest of the Technical University of Liberec [SGS 21006/115]; Ministry of Education, Czech Republic
dc.formattext
dc.identifier.doi10.1155/2014/435935
dc.identifier.issn1537-744X
dc.identifier.scopus2-s2.0-84933057052
dc.identifier.urihttps://dspace.tul.cz/handle/15240/16336
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.relation.ispartofHindawi Publishing Corporationcs
dc.relation.ispartofScientific World Journalen
dc.sourcej-scopus
dc.sourcej-wok
dc.titleSurface Evaluation by Estimation of Fractal Dimension and Statistical Toolsen
dc.typeArticle
local.accessοpen
local.departmentDepartment of Glass Producing Machines and Robotics
local.facultyFaculty of Mechanical Engineering
local.fulltextyes
local.identifier.publikace259
local.identifier.stagRIV/46747885:24510/14:#0001156
local.identifier.wok343442000001
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