Implementation of image analysis research on concrete lifetime prediction for thermal stability and cavitaion eriosion testing
Abstract
Lifetime prediction for construction material is essential and very often crucial for
determination of impact on material application and service. Many models based on
different parameters were used to monitor materials behavior subjected to different
extreme conditions such as thermal shock and erosive wear. In this chapter, image
analysis for lifetime prediction of refractory concrete, more precisely low cement high
alumina castable, during the thermal shock and cavitation erosion was studied and
discussed. Generally, analyzed material has the properties that depend on sintering
temperature but usually is a material with very high strength, density, hardness, and good
thermal stability resistance. Usage of image analysis for lifetime prediction of refractory
concrete during the thermal shock and cavitation erosion were the goals of this study.
Thermal stability was investigated using most common experimental method, water
quench test. Destruction of samples during the test...ing was monitored by image analysis.
Results obtained from the image analysis of samples surface and bulk give proof that the
level of degradation induced by extreme conditions can be monitored by this way. Values of degradation level were used for lifetime modeling expressed as strength degradation,
and correlated to the experimental values. Based on the models for strength degradation
using degradation level as variable, model for lifetime was proposed.
Similar approach was applied in case of monitoring the degradation level caused by
cavitation erosion experiments. The fluid dynamic system of the experimental
methodology used to produce ultrasonic erosive wear. Mass loss and level of material
degradation were measured before and during the experiment. Level of degradation, that
is average erosion area were monitored by using Image Pro Plus program for image
analysis. Obtained results showed that after 180 minutes sample exhibited excellent
erosion resistance compared to metallic and ceramic samples. Level of surface
degradation did not overcome 8 % compared to the original surface.
Keywords:
Thermal Shock / Wear Resistance / Refractories / Material Degradation / Image AnalysisSource:
Advances in Image Analysis Research, 2014, 171-186Publisher:
- Nova Science Publishers, Inc.
Funding / projects:
- Implementation of new technical, technological and environmental solutions in the mining and metallurgical operations RBB and RBM (RS-33007)
- Synthesis, processing and characterization of nanostructured materials for application in the field of energy, mechanical engineering, environmental protection and biomedicine (RS-45012)
Institution/Community
IHTMTY - CHAP AU - Martinović, Sanja AU - Vlahović, Milica AU - Boljanac, Tamara AU - Matović, Branko AU - Volkov Husović, Tatjana PY - 2014 UR - https://cer.ihtm.bg.ac.rs/handle/123456789/5987 AB - Lifetime prediction for construction material is essential and very often crucial for determination of impact on material application and service. Many models based on different parameters were used to monitor materials behavior subjected to different extreme conditions such as thermal shock and erosive wear. In this chapter, image analysis for lifetime prediction of refractory concrete, more precisely low cement high alumina castable, during the thermal shock and cavitation erosion was studied and discussed. Generally, analyzed material has the properties that depend on sintering temperature but usually is a material with very high strength, density, hardness, and good thermal stability resistance. Usage of image analysis for lifetime prediction of refractory concrete during the thermal shock and cavitation erosion were the goals of this study. Thermal stability was investigated using most common experimental method, water quench test. Destruction of samples during the testing was monitored by image analysis. Results obtained from the image analysis of samples surface and bulk give proof that the level of degradation induced by extreme conditions can be monitored by this way. Values of degradation level were used for lifetime modeling expressed as strength degradation, and correlated to the experimental values. Based on the models for strength degradation using degradation level as variable, model for lifetime was proposed. Similar approach was applied in case of monitoring the degradation level caused by cavitation erosion experiments. The fluid dynamic system of the experimental methodology used to produce ultrasonic erosive wear. Mass loss and level of material degradation were measured before and during the experiment. Level of degradation, that is average erosion area were monitored by using Image Pro Plus program for image analysis. Obtained results showed that after 180 minutes sample exhibited excellent erosion resistance compared to metallic and ceramic samples. Level of surface degradation did not overcome 8 % compared to the original surface. PB - Nova Science Publishers, Inc. T2 - Advances in Image Analysis Research T1 - Implementation of image analysis research on concrete lifetime prediction for thermal stability and cavitaion eriosion testing SP - 171 EP - 186 UR - https://hdl.handle.net/21.15107/rcub_cer_5987 ER -
@inbook{ author = "Martinović, Sanja and Vlahović, Milica and Boljanac, Tamara and Matović, Branko and Volkov Husović, Tatjana", year = "2014", abstract = "Lifetime prediction for construction material is essential and very often crucial for determination of impact on material application and service. Many models based on different parameters were used to monitor materials behavior subjected to different extreme conditions such as thermal shock and erosive wear. In this chapter, image analysis for lifetime prediction of refractory concrete, more precisely low cement high alumina castable, during the thermal shock and cavitation erosion was studied and discussed. Generally, analyzed material has the properties that depend on sintering temperature but usually is a material with very high strength, density, hardness, and good thermal stability resistance. Usage of image analysis for lifetime prediction of refractory concrete during the thermal shock and cavitation erosion were the goals of this study. Thermal stability was investigated using most common experimental method, water quench test. Destruction of samples during the testing was monitored by image analysis. Results obtained from the image analysis of samples surface and bulk give proof that the level of degradation induced by extreme conditions can be monitored by this way. Values of degradation level were used for lifetime modeling expressed as strength degradation, and correlated to the experimental values. Based on the models for strength degradation using degradation level as variable, model for lifetime was proposed. Similar approach was applied in case of monitoring the degradation level caused by cavitation erosion experiments. The fluid dynamic system of the experimental methodology used to produce ultrasonic erosive wear. Mass loss and level of material degradation were measured before and during the experiment. Level of degradation, that is average erosion area were monitored by using Image Pro Plus program for image analysis. Obtained results showed that after 180 minutes sample exhibited excellent erosion resistance compared to metallic and ceramic samples. Level of surface degradation did not overcome 8 % compared to the original surface.", publisher = "Nova Science Publishers, Inc.", journal = "Advances in Image Analysis Research", booktitle = "Implementation of image analysis research on concrete lifetime prediction for thermal stability and cavitaion eriosion testing", pages = "171-186", url = "https://hdl.handle.net/21.15107/rcub_cer_5987" }
Martinović, S., Vlahović, M., Boljanac, T., Matović, B.,& Volkov Husović, T.. (2014). Implementation of image analysis research on concrete lifetime prediction for thermal stability and cavitaion eriosion testing. in Advances in Image Analysis Research Nova Science Publishers, Inc.., 171-186. https://hdl.handle.net/21.15107/rcub_cer_5987
Martinović S, Vlahović M, Boljanac T, Matović B, Volkov Husović T. Implementation of image analysis research on concrete lifetime prediction for thermal stability and cavitaion eriosion testing. in Advances in Image Analysis Research. 2014;:171-186. https://hdl.handle.net/21.15107/rcub_cer_5987 .
Martinović, Sanja, Vlahović, Milica, Boljanac, Tamara, Matović, Branko, Volkov Husović, Tatjana, "Implementation of image analysis research on concrete lifetime prediction for thermal stability and cavitaion eriosion testing" in Advances in Image Analysis Research (2014):171-186, https://hdl.handle.net/21.15107/rcub_cer_5987 .