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Mathematical methods of surface roughness evaluation of areas with a distinctive inclination

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dc.title Mathematical methods of surface roughness evaluation of areas with a distinctive inclination en
dc.contributor.author Bílek, Ondřej
dc.contributor.author Pata, Vladimír
dc.contributor.author Kubišová, Milena
dc.contributor.author Řezníček, Martin
dc.relation.ispartof Manufacturing Technology
dc.identifier.issn 1213-2489 OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 18
utb.relation.issue 3
dc.citation.spage 363
dc.citation.epage 368
dc.type article
dc.language.iso en
dc.publisher Univerzita J. E. Purkyně v Ústí nad Labem (UJEP)
dc.identifier.doi 10.21062/ujep/106.2018/a/1213-2489/MT/18/3/363
dc.relation.uri https://arl.ujep.cz/arl-ujep/cs/detail-ujep_us_cat-0263123-Mathematical-methods-of-surface-roughness-evaluation-of-areas-with-and-distinctive-inclination/
dc.relation.uri https://arl.ujep.cz/arl-ujep/cs/csg/?repo=ujeprepo&key=87739238201
dc.subject CNC milling en
dc.subject Cutting tool en
dc.subject Multiparametric statistical methods en
dc.subject Surface roughness en
dc.subject Surface slope en
dc.description.abstract Surface roughness is one of the most significant evaluation factor in metal machining operations. Despite the small descriptiveness is usually quantified as the arithmetical mean roughness Ra especially in the automotive industry. In order to maintain the desired surface roughness, the appropriate setting of machining parameters is important to be set before the actual cutting process. The objective of this research is to analyse the effect of machining parameters on surface roughness of stainless steel X153CrMoV12-1 in CNC milling of slope surfaces with sintered carbide tool. The data were processed using multiparametric statistical methods to find optimal results. Linear regression models and probability dendrograms of similarities were determined for cutting conditions, cutting tools and slope of machined surfaces. © 2018. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1008228
utb.identifier.obdid 43878986
utb.identifier.scopus 2-s2.0-85053677581
utb.source j-scopus
dc.date.accessioned 2018-10-18T10:31:46Z
dc.date.available 2018-10-18T10:31:46Z
utb.contributor.internalauthor Bílek, Ondřej
utb.contributor.internalauthor Pata, Vladimír
utb.contributor.internalauthor Kubišová, Milena
utb.contributor.internalauthor Řezníček, Martin
utb.scopus.affiliation Faculty of Technology, Tomas Bata University in Zlín, Vavreckova 275, Zlin, 76001, Czech Republic
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