Morphological assessment of cavitation caused damage of cordierite and zircon based materials using principal component analysis
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2023
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
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 compo...nent 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.
Ključne reči:
Ceramics / Cavitation / Morphology analysis / Principal component analysis (PCA)Izvor:
Engineering Failure Analysis, 2023, 148, June 2023, 107224-Izdavač:
- Elsevier
Finansiranje / projekti:
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200026 (Univerzitet u Beogradu, Institut za hemiju, tehnologiju i metalurgiju - IHTM) (RS-200026)
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200023 (Institut za tehnologiju nuklearnih i drugih mineralnih sirovina - ITNMS, Beograd) (RS-200023)
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200135 (Univerzitet u Beogradu, Tehnološko-metalurški fakultet) (RS-200135)
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200287 (Inovacioni centar Tehnološko-metalurškog fakulteta u Beogradu doo) (RS-200287)
DOI: 10.1016/j.engfailanal.2023.107224
ISSN: 1350-6307
Scopus: 2-s2.0-85151488584
Institucija/grupa
IHTMTY - JOUR AU - Martinović, Sanja AU - Alil, Ana AU - Milićević, Sonja AU - Živojinović, Dragana AU - Volkov Husović, Tatjana PY - 2023 UR - https://cer.ihtm.bg.ac.rs/handle/123456789/6031 AB - 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. PB - Elsevier T2 - Engineering Failure Analysis T1 - Morphological assessment of cavitation caused damage of cordierite and zircon based materials using principal component analysis VL - 148 IS - June 2023 SP - 107224 DO - 10.1016/j.engfailanal.2023.107224 ER -
@article{ author = "Martinović, Sanja and Alil, Ana and Milićević, Sonja and Živojinović, Dragana and Volkov Husović, Tatjana", year = "2023", 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.", publisher = "Elsevier", journal = "Engineering Failure Analysis", title = "Morphological assessment of cavitation caused damage of cordierite and zircon based materials using principal component analysis", volume = "148", number = "June 2023", pages = "107224", doi = "10.1016/j.engfailanal.2023.107224" }
Martinović, S., Alil, A., Milićević, S., Živojinović, D.,& Volkov Husović, T.. (2023). Morphological assessment of cavitation caused damage of cordierite and zircon based materials using principal component analysis. in Engineering Failure Analysis Elsevier., 148(June 2023), 107224. https://doi.org/10.1016/j.engfailanal.2023.107224
Martinović S, Alil A, Milićević S, Živojinović D, Volkov Husović T. Morphological assessment of cavitation caused damage of cordierite and zircon based materials using principal component analysis. in Engineering Failure Analysis. 2023;148(June 2023):107224. doi:10.1016/j.engfailanal.2023.107224 .
Martinović, Sanja, Alil, Ana, Milićević, Sonja, Živojinović, Dragana, Volkov Husović, Tatjana, "Morphological assessment of cavitation caused damage of cordierite and zircon based materials using principal component analysis" in Engineering Failure Analysis, 148, no. June 2023 (2023):107224, https://doi.org/10.1016/j.engfailanal.2023.107224 . .