Investigation of flow boiling heat transfer and boiling crisis on a rough surface using infrared thermometry
© 2020 Elsevier Ltd We design and build a special heater to enable infrared investigations of boiling heat transfer on surfaces featuring the typical roughness and scratch pattern of commercial-grade heat transfer surfaces (in this case a zirconium alloy typically used as fuel cladding material in n...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Elsevier BV
2021
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| Online Access: | https://hdl.handle.net/1721.1/138149 |
| _version_ | 1826191608158093312 |
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| author | Su, G-Y Wang, C Zhang, L Seong, JH Kommajosyula, R Phillips, B Bucci, M |
| author2 | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering Su, G-Y Wang, C Zhang, L Seong, JH Kommajosyula, R Phillips, B Bucci, M |
| author_sort | Su, G-Y |
| collection | MIT |
| description | © 2020 Elsevier Ltd We design and build a special heater to enable infrared investigations of boiling heat transfer on surfaces featuring the typical roughness and scratch pattern of commercial-grade heat transfer surfaces (in this case a zirconium alloy typically used as fuel cladding material in nuclear reactors). We use high-speed infrared thermometry to investigate surface effects on the boiling process for both the rough infrared heater and a reference more conventional, nano-smooth infrared heater. Compared to the nano-smooth surface, the rough surface has larger nucleation sites, which require a lower nucleation temperature. The rough surface has a much smaller bubble departure volume. However, it has a much higher nucleation site density, and, overall, a higher heat transfer coefficient. We capture this behavior with a stochastic heat flux partitioning model. Notably, while the two surfaces have very different boiling dynamics, the boiling crisis has a common “signature”. For both surfaces, the probability density functions of bubble footprint areas follow a power law with a negative exponent smaller than 3, also known as a scale-free distribution. We predict these observations and the onset of the boiling crisis using a continuum percolation model. These results corroborate the hypothesis of the boiling crisis as a percolative critical phase transition of the bubble interaction process. |
| first_indexed | 2024-09-23T08:58:33Z |
| format | Article |
| id | mit-1721.1/138149 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:58:33Z |
| publishDate | 2021 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1381492023-06-30T15:39:49Z Investigation of flow boiling heat transfer and boiling crisis on a rough surface using infrared thermometry Su, G-Y Wang, C Zhang, L Seong, JH Kommajosyula, R Phillips, B Bucci, M Massachusetts Institute of Technology. Department of Nuclear Science and Engineering Massachusetts Institute of Technology. Department of Mechanical Engineering © 2020 Elsevier Ltd We design and build a special heater to enable infrared investigations of boiling heat transfer on surfaces featuring the typical roughness and scratch pattern of commercial-grade heat transfer surfaces (in this case a zirconium alloy typically used as fuel cladding material in nuclear reactors). We use high-speed infrared thermometry to investigate surface effects on the boiling process for both the rough infrared heater and a reference more conventional, nano-smooth infrared heater. Compared to the nano-smooth surface, the rough surface has larger nucleation sites, which require a lower nucleation temperature. The rough surface has a much smaller bubble departure volume. However, it has a much higher nucleation site density, and, overall, a higher heat transfer coefficient. We capture this behavior with a stochastic heat flux partitioning model. Notably, while the two surfaces have very different boiling dynamics, the boiling crisis has a common “signature”. For both surfaces, the probability density functions of bubble footprint areas follow a power law with a negative exponent smaller than 3, also known as a scale-free distribution. We predict these observations and the onset of the boiling crisis using a continuum percolation model. These results corroborate the hypothesis of the boiling crisis as a percolative critical phase transition of the bubble interaction process. 2021-11-16T13:33:55Z 2021-11-16T13:33:55Z 2020 2021-11-16T13:28:23Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/138149 Su, G-Y, Wang, C, Zhang, L, Seong, JH, Kommajosyula, R et al. 2020. "Investigation of flow boiling heat transfer and boiling crisis on a rough surface using infrared thermometry." International Journal of Heat and Mass Transfer, 160. en 10.1016/J.IJHEATMASSTRANSFER.2020.120134 International Journal of Heat and Mass Transfer Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV Prof. Bucci |
| spellingShingle | Su, G-Y Wang, C Zhang, L Seong, JH Kommajosyula, R Phillips, B Bucci, M Investigation of flow boiling heat transfer and boiling crisis on a rough surface using infrared thermometry |
| title | Investigation of flow boiling heat transfer and boiling crisis on a rough surface using infrared thermometry |
| title_full | Investigation of flow boiling heat transfer and boiling crisis on a rough surface using infrared thermometry |
| title_fullStr | Investigation of flow boiling heat transfer and boiling crisis on a rough surface using infrared thermometry |
| title_full_unstemmed | Investigation of flow boiling heat transfer and boiling crisis on a rough surface using infrared thermometry |
| title_short | Investigation of flow boiling heat transfer and boiling crisis on a rough surface using infrared thermometry |
| title_sort | investigation of flow boiling heat transfer and boiling crisis on a rough surface using infrared thermometry |
| url | https://hdl.handle.net/1721.1/138149 |
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