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Utilization of cluster analysis in the multi-dimensional evaluation of mould surface quality in product correlation

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dc.title Utilization of cluster analysis in the multi-dimensional evaluation of mould surface quality in product correlation en
dc.contributor.author Pata, Vladimír
dc.contributor.author Kubišová, Milena
dc.contributor.author Sýkorová, Libuše
dc.contributor.author Šuba, Oldřich
dc.contributor.author Hýlová, Lenka
dc.relation.ispartof IOP Conference Series: Materials Science and Engineering
dc.identifier.issn 1757-8981 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 448
utb.relation.issue 1
dc.event.title 23rd International Conference on Manufacturing, Manufacturing 2018
dc.event.location Kecskemét
utb.event.state-en Hungary
utb.event.state-cs Maďarsko
dc.event.sdate 2018-06-07
dc.event.edate 2018-06-08
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Physics Publishing
dc.identifier.doi 10.1088/1757-899X/448/1/012048
dc.relation.uri http://iopscience.iop.org/article/10.1088/1757-899X/448/1/012048
dc.description.abstract Quality assessment of mould surfaces, of the products they produce is often done in both scientific and industrial practice separately and without considering the links of the individual descriptive parameters. The present article will describe how to find amplitude, frequency parameters that will be grouped into so-called parametric sets. Each parameter set will be characterised by its values for both the mould and the product it produces. The final step is to apply cluster analysis and to determine the similarity of the individual sets of parameters between the form and its product. Therefore, the presented methodology will provide complex correlation evaluation of products and mould not by individual parameters but within the whole set of parametric sets. © Published under licence by IOP Publishing Ltd. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1008396
utb.identifier.rivid RIV/70883521:28110/18:63520462!RIV19-MSM-28110___
utb.identifier.obdid 43878954
utb.identifier.scopus 2-s2.0-85058382669
utb.identifier.wok 000467870800048
utb.source d-scopus
dc.date.accessioned 2019-01-31T08:58:59Z
dc.date.available 2019-01-31T08:58:59Z
dc.description.sponsorship UTB in Zlin from Funds of specific academic research [IGA/FT/2018/004, IGA/FT/2018/012]; Funds of specific academic research
utb.contributor.internalauthor Pata, Vladimír
utb.contributor.internalauthor Kubišová, Milena
utb.contributor.internalauthor Sýkorová, Libuše
utb.contributor.internalauthor Šuba, Oldřich
utb.contributor.internalauthor Hýlová, Lenka
utb.fulltext.affiliation V Pata 1, M Kubišová 1*, L Sýkorová 1, O Šuba 1, L Hýlová 1 *mkubisova@utb.cz 1 Tomas Bata University in Zlín, Faculty of Technology, Department of Production Engineering, Vavrečkova 275 760 01 Zlín, Czech Republic
utb.fulltext.dates -
utb.scopus.affiliation Tomas Bata University in Zlín, Faculty of Technology, Department of Production Engineering, Vavrečkova 275, Zlín, 760 01, Czech Republic
utb.fulltext.faculty Faculty of Technology
utb.fulltext.faculty Faculty of Technology
utb.fulltext.faculty Faculty of Technology
utb.fulltext.faculty Faculty of Technology
utb.fulltext.faculty Faculty of Technology
utb.fulltext.ou Department of Production Engineering
utb.fulltext.ou Department of Production Engineering
utb.fulltext.ou Department of Production Engineering
utb.fulltext.ou Department of Production Engineering
utb.fulltext.ou Department of Production Engineering
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