TY  - JOUR
AU  - Martinović, S.
AU  - Alil, A.
AU  - Milićević, Sonja
AU  - Živojinović, D.
AU  - Volkov-Husović, Tatjana
PY  - 2023
UR  - https://ritnms.itnms.ac.rs/handle/123456789/655
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 Ltd
T2  - Engineering Failure Analysis
T1  - Morphological assessment of cavitation caused damage of cordierite and zircon based materials using principal component analysis
VL  - 148
DO  - 10.1016/j.engfailanal.2023.107224
UR  - conv_982
ER  - 

@article{
author = "Martinović, S. and Alil, A. and Milićević, Sonja and Živojinović, D. 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 Ltd",
journal = "Engineering Failure Analysis",
title = "Morphological assessment of cavitation caused damage of cordierite and zircon based materials using principal component analysis",
volume = "148",
doi = "10.1016/j.engfailanal.2023.107224",
url = "conv_982"
}

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 Ltd., 148.
https://doi.org/10.1016/j.engfailanal.2023.107224
conv_982

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.
doi:10.1016/j.engfailanal.2023.107224
conv_982 .

Martinović, S., Alil, A., Milićević, Sonja, Živojinović, D., Volkov-Husović, Tatjana, "Morphological assessment of cavitation caused damage of cordierite and zircon based materials using principal component analysis" in Engineering Failure Analysis, 148 (2023),
https://doi.org/10.1016/j.engfailanal.2023.107224 .,
conv_982 .