Application of image analysis for cavitation erosion resistance monitoring of some engineering materials
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Engineering materials are often used in various operating conditions including high temperatures,
pressure, aggressive solutions, or cavitation erosion. The phenomenon of cavitation erosion is expected
when fluid flow is present, which contains equipment such as turbine blades, high-speed propellers, or
pump parts. Cavitation erosion usually causes surface degradation of material with defects that appear in
the form of pits and fractures. Such loss of material leads not only to surface degradation but usually also
to strength deterioration with the potential risk of failure and therefore also to shortening of material
lifetime, thus requiring additional costs for failure analysis, repair, and replacement of parts. This paper
will present the results regarding the resistance of various engineering materials to cavitation erosion. As
materials, austenitic stainless steel 316L and CuAlNi shape memory alloy are selected and studied. The
comparison of the behavior between these two... materials in cavitation erosion conditions will be shown
based on the results of mass loss and morphology analysis of the pits formed at the surface over time. Image
analysis tools will be applied in order to quantify the surface damage level and to analyze selected
morphology descriptors.
Кључне речи:
Cavitation erosion / 316L steel / CuAlNi SMA / Image analysisИзвор:
Proceedings / 54th International October Conference on Mining and Metallurgy - IOC 2023, 18-21 October 2023, Bor Lake, Serbia, 2023, 531-534Издавач:
- Bor : University of Belgrade, Technical Faculty
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200135 (Универзитет у Београду, Технолошко-металуршки факултет) (RS-MESTD-inst-2020-200135)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200026 (Универзитет у Београду, Институт за хемију, технологију и металургију - ИХТМ) (RS-MESTD-inst-2020-200026)
Институција/група
Tehnološko-metalurški fakultetTY - CONF AU - Volkov-Husović, Tatjana AU - Martinović, Sanja AU - Alil, Ana AU - Vlahović, Milica PY - 2023 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/6716 AB - Engineering materials are often used in various operating conditions including high temperatures, pressure, aggressive solutions, or cavitation erosion. The phenomenon of cavitation erosion is expected when fluid flow is present, which contains equipment such as turbine blades, high-speed propellers, or pump parts. Cavitation erosion usually causes surface degradation of material with defects that appear in the form of pits and fractures. Such loss of material leads not only to surface degradation but usually also to strength deterioration with the potential risk of failure and therefore also to shortening of material lifetime, thus requiring additional costs for failure analysis, repair, and replacement of parts. This paper will present the results regarding the resistance of various engineering materials to cavitation erosion. As materials, austenitic stainless steel 316L and CuAlNi shape memory alloy are selected and studied. The comparison of the behavior between these two materials in cavitation erosion conditions will be shown based on the results of mass loss and morphology analysis of the pits formed at the surface over time. Image analysis tools will be applied in order to quantify the surface damage level and to analyze selected morphology descriptors. PB - Bor : University of Belgrade, Technical Faculty C3 - Proceedings / 54th International October Conference on Mining and Metallurgy - IOC 2023, 18-21 October 2023, Bor Lake, Serbia T1 - Application of image analysis for cavitation erosion resistance monitoring of some engineering materials EP - 534 SP - 531 UR - https://hdl.handle.net/21.15107/rcub_technorep_6716 ER -
@conference{ author = "Volkov-Husović, Tatjana and Martinović, Sanja and Alil, Ana and Vlahović, Milica", year = "2023", abstract = "Engineering materials are often used in various operating conditions including high temperatures, pressure, aggressive solutions, or cavitation erosion. The phenomenon of cavitation erosion is expected when fluid flow is present, which contains equipment such as turbine blades, high-speed propellers, or pump parts. Cavitation erosion usually causes surface degradation of material with defects that appear in the form of pits and fractures. Such loss of material leads not only to surface degradation but usually also to strength deterioration with the potential risk of failure and therefore also to shortening of material lifetime, thus requiring additional costs for failure analysis, repair, and replacement of parts. This paper will present the results regarding the resistance of various engineering materials to cavitation erosion. As materials, austenitic stainless steel 316L and CuAlNi shape memory alloy are selected and studied. The comparison of the behavior between these two materials in cavitation erosion conditions will be shown based on the results of mass loss and morphology analysis of the pits formed at the surface over time. Image analysis tools will be applied in order to quantify the surface damage level and to analyze selected morphology descriptors.", publisher = "Bor : University of Belgrade, Technical Faculty", journal = "Proceedings / 54th International October Conference on Mining and Metallurgy - IOC 2023, 18-21 October 2023, Bor Lake, Serbia", title = "Application of image analysis for cavitation erosion resistance monitoring of some engineering materials", pages = "534-531", url = "https://hdl.handle.net/21.15107/rcub_technorep_6716" }
Volkov-Husović, T., Martinović, S., Alil, A.,& Vlahović, M.. (2023). Application of image analysis for cavitation erosion resistance monitoring of some engineering materials. in Proceedings / 54th International October Conference on Mining and Metallurgy - IOC 2023, 18-21 October 2023, Bor Lake, Serbia Bor : University of Belgrade, Technical Faculty., 531-534. https://hdl.handle.net/21.15107/rcub_technorep_6716
Volkov-Husović T, Martinović S, Alil A, Vlahović M. Application of image analysis for cavitation erosion resistance monitoring of some engineering materials. in Proceedings / 54th International October Conference on Mining and Metallurgy - IOC 2023, 18-21 October 2023, Bor Lake, Serbia. 2023;:531-534. https://hdl.handle.net/21.15107/rcub_technorep_6716 .
Volkov-Husović, Tatjana, Martinović, Sanja, Alil, Ana, Vlahović, Milica, "Application of image analysis for cavitation erosion resistance monitoring of some engineering materials" in Proceedings / 54th International October Conference on Mining and Metallurgy - IOC 2023, 18-21 October 2023, Bor Lake, Serbia (2023):531-534, https://hdl.handle.net/21.15107/rcub_technorep_6716 .