Morphological assessment of cavitation caused damage of cordierite and zircon based materials using principal component analysis
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 analy...sis 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.
Keywords:
Cavitation / Ceramics / Morphology analysis / Principal component analysis (PCA)Source:
Engineering Failure Analysis, 2023, 148, 107224-Publisher:
- Elsevier Ltd
Funding / projects:
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200135 (University of Belgrade, Faculty of Technology and Metallurgy) (RS-MESTD-inst-2020-200135)
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200287 (Innovation Center of the Faculty of Technology and Metallurgy) (RS-MESTD-inst-2020-200287)
- Unapređenje tehnologije konvencionalnog sušenja drveta sa aspekta kvaliteta i utroška energije (RS-MESTD-MPN2006-2010-20026)
- Funkcionalni ingredijenti - nosioci kvaliteta u tehnologiji keksa (RS-MESTD-MPN2006-2010-20023)
DOI: 10.1016/j.engfailanal.2023.107224
ISSN: 1350-6307
Scopus: 2-s2.0-85151488584
Collections
Institution/Community
Inovacioni centarTY - JOUR AU - Martinović, Sanja AU - Alil, Ana AU - Milićević, Sonja AU - Živojinović, Dragana AU - Volkov Husović, Tatjana PY - 2023 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/6355 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 SP - 107224 VL - 148 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 Ltd", journal = "Engineering Failure Analysis", title = "Morphological assessment of cavitation caused damage of cordierite and zircon based materials using principal component analysis", pages = "107224", volume = "148", 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 Ltd., 148, 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;148:107224. 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 (2023):107224, https://doi.org/10.1016/j.engfailanal.2023.107224 . .