dc.creator | Martinović, Sanja | |
dc.creator | Alil, Ana | |
dc.creator | Milićević, Sonja | |
dc.creator | Živojinović, Dragana | |
dc.creator | Volkov Husović, Tatjana | |
dc.date.accessioned | 2023-04-06T19:57:08Z | |
dc.date.available | 2023-04-06T19:57:08Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1350-6307 | |
dc.identifier.uri | https://cer.ihtm.bg.ac.rs/handle/123456789/6031 | |
dc.description.abstract | The pattern recognition approach, explored by this study, applies the principal component
analysis (PCA) as the most widely used statistical method with the aim of assessing the initiation
and propagation of the cracks and defects that appear on the surface of material exposed to the
cavitation. The experiment was performed in four stages: (a) synthesis of two ceramic materials
(cordierite and zircon); (b) subjecting the samples to the cavitation; (c) using image analysis
software for collecting the data about morphological characteristics that describe defects; (d)
principal component analysis as a pattern recognition tool in order to characterize the defects at
the material surface. Besides that, according to standard, cavitation erosion was monitored by
determining material mass loss during the cavitation. Large experimental datasets collected from
morphological descriptors by image analysis are multivariate and difficult to interpret, thus are
processed by principal component analysis as the most informative technique for extracting
possible differences. The performed approach proved that this method has a great potential for
better assessment of induced defects by proper distinguishing among them at different levels and
that can be considered a very efficient and cost-effective one. | sr |
dc.language.iso | en | sr |
dc.publisher | Elsevier | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/inst-2020/200026/RS// | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/inst-2020/200023/RS// | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/inst-2020/200135/RS// | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/inst-2020/200287/RS// | sr |
dc.rights | restrictedAccess | sr |
dc.source | Engineering Failure Analysis | sr |
dc.subject | Ceramics | sr |
dc.subject | Cavitation | sr |
dc.subject | Morphology analysis | sr |
dc.subject | Principal component analysis (PCA) | sr |
dc.title | Morphological assessment of cavitation caused damage of cordierite and zircon based materials using principal component analysis | sr |
dc.type | article | sr |
dc.rights.license | ARR | sr |
dc.citation.volume | 148 | |
dc.citation.issue | June 2023 | |
dc.citation.spage | 107224 | |
dc.citation.rank | M21~ | |
dc.identifier.doi | 10.1016/j.engfailanal.2023.107224 | |
dc.identifier.scopus | 2-s2.0-85151488584 | |
dc.type.version | publishedVersion | sr |