Statistical characterization of the interfacial behavior captured by a novel image processing algorithm during the gas/liquid counter-current two-phase flow in a 1/3 scaled down of PWR hot leg
This study addresses a statistical characterization of the interfacial behaviors during gas/liquid counter-current flow in a large scale of pressurized water reactor's hot leg typical geometry on the basis of both time and frequency domain analyses. Here, the visualizations were captured by hig...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier Ltd
2023
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/285825/1/Statistical%20characterization%20of%20the%20interfacial%20behavior%20captured%20by%20a%20novel%20image.pdf |
| _version_ | 1826050839194632192 |
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| author | Astyanto, Achilleus Hermawan Nugroho, Akhlisa Nadiantya Aji Indarto, Indarto Gusti Ngurah Bagus Catrawedarma, I Lucas, Dirk Deendarlianto, Deendarlianto |
| author_facet | Astyanto, Achilleus Hermawan Nugroho, Akhlisa Nadiantya Aji Indarto, Indarto Gusti Ngurah Bagus Catrawedarma, I Lucas, Dirk Deendarlianto, Deendarlianto |
| author_sort | Astyanto, Achilleus Hermawan |
| collection | UGM |
| description | This study addresses a statistical characterization of the interfacial behaviors during gas/liquid counter-current flow in a large scale of pressurized water reactor's hot leg typical geometry on the basis of both time and frequency domain analyses. Here, the visualizations were captured by high-speed cameras. Furthermore, the image processing algorithm on the basis of pixel identification was developed to identify the time-series interfacial dynamics of the liquid holdup fluctuations, comprising the wave growth and its movement. The obtained data were further analyzed by using various advanced statistical tools comprising the probability density function, power spectral density function, and also discrete wavelet transform. Additionally, chaotic levels of the flow were obtained through the Kolmogorov-entropy analysis. Particular results reveal that a typical mechanism of flooding begins with the appearance of a wavy interface which further develops into either a roll or large wave, and later blocks the entire cross-sectional area of the conduit around the bend region. This later stage indicates the inception of flooding which is characterized by the increase of the water level close to the bend region. Next, the higher the pressure of system, the higher the frequency occurrence of slugging, while the injected gas flow rate obtained a different trend. However, the Kolmogorov entropy enables to correlate the stabilizing effect due to the fluid resistance which corresponds to either the pressure of the system or the physical properties of the fluid. In addition, there were no significant differences between the flooding mechanisms for both the air/water and steam/water flows. |
| first_indexed | 2024-03-14T00:10:58Z |
| format | Article |
| id | oai:generic.eprints.org:285825 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-14T00:10:58Z |
| publishDate | 2023 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | oai:generic.eprints.org:2858252024-03-06T03:22:41Z https://repository.ugm.ac.id/285825/ Statistical characterization of the interfacial behavior captured by a novel image processing algorithm during the gas/liquid counter-current two-phase flow in a 1/3 scaled down of PWR hot leg Astyanto, Achilleus Hermawan Nugroho, Akhlisa Nadiantya Aji Indarto, Indarto Gusti Ngurah Bagus Catrawedarma, I Lucas, Dirk Deendarlianto, Deendarlianto Mechanical Engineering not elsewhere classified Engineering Mechanical Engineering This study addresses a statistical characterization of the interfacial behaviors during gas/liquid counter-current flow in a large scale of pressurized water reactor's hot leg typical geometry on the basis of both time and frequency domain analyses. Here, the visualizations were captured by high-speed cameras. Furthermore, the image processing algorithm on the basis of pixel identification was developed to identify the time-series interfacial dynamics of the liquid holdup fluctuations, comprising the wave growth and its movement. The obtained data were further analyzed by using various advanced statistical tools comprising the probability density function, power spectral density function, and also discrete wavelet transform. Additionally, chaotic levels of the flow were obtained through the Kolmogorov-entropy analysis. Particular results reveal that a typical mechanism of flooding begins with the appearance of a wavy interface which further develops into either a roll or large wave, and later blocks the entire cross-sectional area of the conduit around the bend region. This later stage indicates the inception of flooding which is characterized by the increase of the water level close to the bend region. Next, the higher the pressure of system, the higher the frequency occurrence of slugging, while the injected gas flow rate obtained a different trend. However, the Kolmogorov entropy enables to correlate the stabilizing effect due to the fluid resistance which corresponds to either the pressure of the system or the physical properties of the fluid. In addition, there were no significant differences between the flooding mechanisms for both the air/water and steam/water flows. Elsevier Ltd 2023 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/285825/1/Statistical%20characterization%20of%20the%20interfacial%20behavior%20captured%20by%20a%20novel%20image.pdf Astyanto, Achilleus Hermawan and Nugroho, Akhlisa Nadiantya Aji and Indarto, Indarto and Gusti Ngurah Bagus Catrawedarma, I and Lucas, Dirk and Deendarlianto, Deendarlianto (2023) Statistical characterization of the interfacial behavior captured by a novel image processing algorithm during the gas/liquid counter-current two-phase flow in a 1/3 scaled down of PWR hot leg. Nuclear Engineering and Design, 404 (112179). pp. 1-18. ISSN 00295493 https://www.sciencedirect.com/science/article/pii/S0029549323000286 10.1016/j.nucengdes.2023.112179 |
| spellingShingle | Mechanical Engineering not elsewhere classified Engineering Mechanical Engineering Astyanto, Achilleus Hermawan Nugroho, Akhlisa Nadiantya Aji Indarto, Indarto Gusti Ngurah Bagus Catrawedarma, I Lucas, Dirk Deendarlianto, Deendarlianto Statistical characterization of the interfacial behavior captured by a novel image processing algorithm during the gas/liquid counter-current two-phase flow in a 1/3 scaled down of PWR hot leg |
| title | Statistical characterization of the interfacial behavior captured by a novel image processing algorithm during the gas/liquid counter-current two-phase flow in a 1/3 scaled down of PWR hot leg |
| title_full | Statistical characterization of the interfacial behavior captured by a novel image processing algorithm during the gas/liquid counter-current two-phase flow in a 1/3 scaled down of PWR hot leg |
| title_fullStr | Statistical characterization of the interfacial behavior captured by a novel image processing algorithm during the gas/liquid counter-current two-phase flow in a 1/3 scaled down of PWR hot leg |
| title_full_unstemmed | Statistical characterization of the interfacial behavior captured by a novel image processing algorithm during the gas/liquid counter-current two-phase flow in a 1/3 scaled down of PWR hot leg |
| title_short | Statistical characterization of the interfacial behavior captured by a novel image processing algorithm during the gas/liquid counter-current two-phase flow in a 1/3 scaled down of PWR hot leg |
| title_sort | statistical characterization of the interfacial behavior captured by a novel image processing algorithm during the gas liquid counter current two phase flow in a 1 3 scaled down of pwr hot leg |
| topic | Mechanical Engineering not elsewhere classified Engineering Mechanical Engineering |
| url | https://repository.ugm.ac.id/285825/1/Statistical%20characterization%20of%20the%20interfacial%20behavior%20captured%20by%20a%20novel%20image.pdf |
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