Combustion Turbulence Flow in the Advanced Vortex Combustor with Built-In Obstacles
To obtain the advanced vortex combustor (AVC) and its optimal structure parameters in light of built-in obstacles, numerical simulation was performed. This research shows that inclined struts have optimal structural parameters with inclination angle α=30° and blocking ratio BR=12%, while guide vane...
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Format: | Article |
Language: | English |
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Wiley
2021-01-01
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Series: | International Journal of Aerospace Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/7410747 |
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author | Yu Chen Zhuoxiong Zeng Haoyuan Wang |
author_facet | Yu Chen Zhuoxiong Zeng Haoyuan Wang |
author_sort | Yu Chen |
collection | DOAJ |
description | To obtain the advanced vortex combustor (AVC) and its optimal structure parameters in light of built-in obstacles, numerical simulation was performed. This research shows that inclined struts have optimal structural parameters with inclination angle α=30° and blocking ratio BR=12%, while guide vane and its optimal structural parameter have three layers, which are a/B=0.1, b/h=0.4, and c/L=0.2, respectively; blunt body has the biggest height of H1/B1=2/3. According to these statistics, the research studies how inlet factors affect turbulence flow in combustion. The research finds increases in inlet velocity and flow resistance are in positive correlation. As inlet temperature increases, the flow resistance decreases. From field synergy theory, inlet factor has different effect on the heat transfer performance. |
format | Article |
id | doaj-art-765d173912c443078c7e8a5703edeac2 |
institution | Kabale University |
issn | 1687-5966 1687-5974 |
language | English |
publishDate | 2021-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Aerospace Engineering |
spelling | doaj-art-765d173912c443078c7e8a5703edeac22025-02-03T01:27:20ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742021-01-01202110.1155/2021/74107477410747Combustion Turbulence Flow in the Advanced Vortex Combustor with Built-In ObstaclesYu Chen0Zhuoxiong Zeng1Haoyuan Wang2College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaCollege of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaCollege of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaTo obtain the advanced vortex combustor (AVC) and its optimal structure parameters in light of built-in obstacles, numerical simulation was performed. This research shows that inclined struts have optimal structural parameters with inclination angle α=30° and blocking ratio BR=12%, while guide vane and its optimal structural parameter have three layers, which are a/B=0.1, b/h=0.4, and c/L=0.2, respectively; blunt body has the biggest height of H1/B1=2/3. According to these statistics, the research studies how inlet factors affect turbulence flow in combustion. The research finds increases in inlet velocity and flow resistance are in positive correlation. As inlet temperature increases, the flow resistance decreases. From field synergy theory, inlet factor has different effect on the heat transfer performance.http://dx.doi.org/10.1155/2021/7410747 |
spellingShingle | Yu Chen Zhuoxiong Zeng Haoyuan Wang Combustion Turbulence Flow in the Advanced Vortex Combustor with Built-In Obstacles International Journal of Aerospace Engineering |
title | Combustion Turbulence Flow in the Advanced Vortex Combustor with Built-In Obstacles |
title_full | Combustion Turbulence Flow in the Advanced Vortex Combustor with Built-In Obstacles |
title_fullStr | Combustion Turbulence Flow in the Advanced Vortex Combustor with Built-In Obstacles |
title_full_unstemmed | Combustion Turbulence Flow in the Advanced Vortex Combustor with Built-In Obstacles |
title_short | Combustion Turbulence Flow in the Advanced Vortex Combustor with Built-In Obstacles |
title_sort | combustion turbulence flow in the advanced vortex combustor with built in obstacles |
url | http://dx.doi.org/10.1155/2021/7410747 |
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