Shape optimization of bellmouth to improve flow uniformity under non-aligned inflow condition in gas turbine casing
A shape optimization process for a bellmouth in a gas turbine casing under high Reynolds number was conducted using computational fluid dynamics. The bellmouth connected to the nozzle guide vane was simplified assuming a cylindrically-shaped flow passage. The height of the casing entrance and the cu...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Engineering Applications of Computational Fluid Mechanics |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19942060.2024.2400533 |
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| author | Myoung Hun Han Jin Hyeong Park Jae Sung Yang Sang Youl Yoon June Kee Min |
| author_facet | Myoung Hun Han Jin Hyeong Park Jae Sung Yang Sang Youl Yoon June Kee Min |
| author_sort | Myoung Hun Han |
| collection | DOAJ |
| description | A shape optimization process for a bellmouth in a gas turbine casing under high Reynolds number was conducted using computational fluid dynamics. The bellmouth connected to the nozzle guide vane was simplified assuming a cylindrically-shaped flow passage. The height of the casing entrance and the curvature of the bellmouth were selected as the geometric parameters. The curvature of the bellmouth was defined as an ellipse consisting of a major axis and a minor axis. Two hundred forty three cases were calculated with a combination of 5 parameters and 3 levels of change, and correlations for flow uniformity and pressure drop were derived. The optimized shape of the bellmouth was obtained by using the two correlations and the genetic algorithm. In addition, the optimized bellmouth was found using conditional U-Net, which predicted the flow uniformity image according to the given shape conditions. The shape of the baseline and optimized bellmouth were compared, and performances were compared in terms of flow uniformity and pressure drop. In addition, the results of the particle distribution, for particles generated after the combustion and entered the casing, were compared. |
| format | Article |
| id | doaj-art-cdfbc91cdfe4434cb0c3202701ff5c9a |
| institution | OA Journals |
| issn | 1994-2060 1997-003X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Engineering Applications of Computational Fluid Mechanics |
| spelling | doaj-art-cdfbc91cdfe4434cb0c3202701ff5c9a2025-08-20T02:37:33ZengTaylor & Francis GroupEngineering Applications of Computational Fluid Mechanics1994-20601997-003X2024-12-0118110.1080/19942060.2024.2400533Shape optimization of bellmouth to improve flow uniformity under non-aligned inflow condition in gas turbine casingMyoung Hun Han0Jin Hyeong Park1Jae Sung Yang2Sang Youl Yoon3June Kee Min4School of Mechanical Engineering, Pusan National University 2, Busan, Republic of KoreaSchool of Mechanical Engineering, Pusan National University 2, Busan, Republic of KoreaSchool of Mechanical Engineering, Pusan National University 2, Busan, Republic of KoreaRolls-Royce and Pusan National University Technology Centre in Thermal Management, Pusan National University 2, Busan, Republic of KoreaSchool of Mechanical Engineering, Pusan National University 2, Busan, Republic of KoreaA shape optimization process for a bellmouth in a gas turbine casing under high Reynolds number was conducted using computational fluid dynamics. The bellmouth connected to the nozzle guide vane was simplified assuming a cylindrically-shaped flow passage. The height of the casing entrance and the curvature of the bellmouth were selected as the geometric parameters. The curvature of the bellmouth was defined as an ellipse consisting of a major axis and a minor axis. Two hundred forty three cases were calculated with a combination of 5 parameters and 3 levels of change, and correlations for flow uniformity and pressure drop were derived. The optimized shape of the bellmouth was obtained by using the two correlations and the genetic algorithm. In addition, the optimized bellmouth was found using conditional U-Net, which predicted the flow uniformity image according to the given shape conditions. The shape of the baseline and optimized bellmouth were compared, and performances were compared in terms of flow uniformity and pressure drop. In addition, the results of the particle distribution, for particles generated after the combustion and entered the casing, were compared.https://www.tandfonline.com/doi/10.1080/19942060.2024.2400533Bellmouthoptimizationuniformitypressure dropgas turbine casing |
| spellingShingle | Myoung Hun Han Jin Hyeong Park Jae Sung Yang Sang Youl Yoon June Kee Min Shape optimization of bellmouth to improve flow uniformity under non-aligned inflow condition in gas turbine casing Engineering Applications of Computational Fluid Mechanics Bellmouth optimization uniformity pressure drop gas turbine casing |
| title | Shape optimization of bellmouth to improve flow uniformity under non-aligned inflow condition in gas turbine casing |
| title_full | Shape optimization of bellmouth to improve flow uniformity under non-aligned inflow condition in gas turbine casing |
| title_fullStr | Shape optimization of bellmouth to improve flow uniformity under non-aligned inflow condition in gas turbine casing |
| title_full_unstemmed | Shape optimization of bellmouth to improve flow uniformity under non-aligned inflow condition in gas turbine casing |
| title_short | Shape optimization of bellmouth to improve flow uniformity under non-aligned inflow condition in gas turbine casing |
| title_sort | shape optimization of bellmouth to improve flow uniformity under non aligned inflow condition in gas turbine casing |
| topic | Bellmouth optimization uniformity pressure drop gas turbine casing |
| url | https://www.tandfonline.com/doi/10.1080/19942060.2024.2400533 |
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