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Statistical evaluation of metal plated polymer surfaces

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dc.title Statistical evaluation of metal plated polymer surfaces en
dc.contributor.author Kubišová, Milena
dc.contributor.author Knedlová, Jana
dc.contributor.author Endlerová, Dagmar
dc.contributor.author Ludrovcová, Barbora
dc.relation.ispartof Journal of Physics: Conference Series
dc.identifier.issn 1742-6588 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9788394593742
dc.identifier.isbn 9781628905861
dc.date.issued 2025
utb.relation.volume 3157
utb.relation.issue 1
dc.event.title 34th Development of Materials Science in Research and Education, DMSRE 2025
dc.event.location Pavlov
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2025-09-08
dc.event.edate 2025-09-12
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Physics
dc.identifier.doi 10.1088/1742-6596/3157/1/012001
dc.relation.uri https://iopscience.iop.org/article/10.1088/1742-6596/3157/1/012001
dc.relation.uri https://iopscience.iop.org/article/10.1088/1742-6596/3157/1/012001/pdf
dc.description.abstract The surface quality of metallized polymer parts plays a crucial role in the functional and aesthetic properties of the final product, especially in the automotive industry and consumer electronics. This study focuses on non-contact measurement of the surface structure of ABS polymer parts, metallized using vacuum technology with the application of copper, nickel and chromium layers. The measurement was performed on the Talysurf CLI 500 device and evaluated according to the current standards ČSN EN ISO 21920-1 and 21920-2, which define the profile roughness parameters and the methodology for their assessment. The measured data were subsequently analyzed using descriptive statistics and multivariate statistical methods including analysis of variance (ANOVA), which allowed to reveal differences between samples manufactured in different time periods and in different plating conditions. The results confirm that the metal coating significantly affects the values of key surface structure parameters (Ra, Rz), and indicate the need for consistent control of process stability. The study also confirms the benefits of statistical tools for quality assessment and supports their wider use in technological practice. © Published under licence by IOP Publishing Ltd. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1012769
utb.identifier.scopus 2-s2.0-105027316647
utb.source d-scopus
dc.date.accessioned 2026-02-19T10:08:27Z
dc.date.available 2026-02-19T10:08:27Z
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.ou Department of Production Engineering
utb.contributor.internalauthor Kubišová, Milena
utb.contributor.internalauthor Knedlová, Jana
utb.contributor.internalauthor Endlerová, Dagmar
utb.fulltext.sponsorship -
utb.scopus.affiliation Department of Production Engineering, Tomas Bata University in Zlin, Zlin, Zlin Region, Czech Republic; Slovak University of Technology in Bratislava, Bratislava, Bratislava Region, Slovakia
utb.fulltext.projects -
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Attribution 4.0 International Except where otherwise noted, this item's license is described as Attribution 4.0 International