An adaptive integration method for hybrid-dimensional simulations of aeroengine flight statuses by incorporating computational fluid dynamics models of turbomachinery subcomponents
Hybrid-dimensional simulations can balance simulation accuracy and computational costs. However, applying hybrid-dimensional simulations to flight status remains challenging due to weak convergence. In this study, an adaptive integration method for hybrid-dimensional simulations was developed by int...
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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/10.1080/19942060.2024.2391447 |
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| _version_ | 1846136009549414400 |
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| author | Weimin Deng Xiting Wang Yibing Xu Haoyang Xu |
| author_facet | Weimin Deng Xiting Wang Yibing Xu Haoyang Xu |
| author_sort | Weimin Deng |
| collection | DOAJ |
| description | Hybrid-dimensional simulations can balance simulation accuracy and computational costs. However, applying hybrid-dimensional simulations to flight status remains challenging due to weak convergence. In this study, an adaptive integration method for hybrid-dimensional simulations was developed by introducing both adaptive incorporation schemes and polynomial transformations into the existing direct integration method. Experimental validations and T-MATS analysis show that errors in the thrust and specific fuel consumption of throttle characteristics are within 2% and 3%, respectively. Hybrid-dimensional simulations using both adaptive and existing direct integration methods were then applied to predict flight speed and altitude characteristics. Overall, the adaptive integration method demonstrates a broad convergence range for altitude (0-10 km) and speed (0-0.9 Ma) characteristics, requiring 25 iteration steps with co-working errors of less than 10−03. However, the direct integration method covers smaller ranges for altitude (0-1 km) and speed (0-0.4 Ma) characteristics, requiring 50 iteration steps with co-working errors of larger than 10−03. The results indicate that hybrid-dimensional simulations using the adaptive integration method exhibit good stability and convergence in the flight status compared to the direct integration method. Moreover, both the speed and altitude characteristics using the adaptive integration method cost approximately 24 hours on a computer workstation. |
| format | Article |
| id | doaj-art-2ffac86ab0bc4a4797f4f1c0e7f2392a |
| institution | Kabale University |
| 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-2ffac86ab0bc4a4797f4f1c0e7f2392a2024-12-09T09:43:45ZengTaylor & Francis GroupEngineering Applications of Computational Fluid Mechanics1994-20601997-003X2024-12-0118110.1080/19942060.2024.2391447An adaptive integration method for hybrid-dimensional simulations of aeroengine flight statuses by incorporating computational fluid dynamics models of turbomachinery subcomponentsWeimin Deng0Xiting Wang1Yibing Xu2Haoyang Xu3Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, People's Republic of ChinaInstitute for Aero Engine, Tsinghua University, Beijing, People's Republic of ChinaCollege of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People's Republic of ChinaCollege of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People's Republic of ChinaHybrid-dimensional simulations can balance simulation accuracy and computational costs. However, applying hybrid-dimensional simulations to flight status remains challenging due to weak convergence. In this study, an adaptive integration method for hybrid-dimensional simulations was developed by introducing both adaptive incorporation schemes and polynomial transformations into the existing direct integration method. Experimental validations and T-MATS analysis show that errors in the thrust and specific fuel consumption of throttle characteristics are within 2% and 3%, respectively. Hybrid-dimensional simulations using both adaptive and existing direct integration methods were then applied to predict flight speed and altitude characteristics. Overall, the adaptive integration method demonstrates a broad convergence range for altitude (0-10 km) and speed (0-0.9 Ma) characteristics, requiring 25 iteration steps with co-working errors of less than 10−03. However, the direct integration method covers smaller ranges for altitude (0-1 km) and speed (0-0.4 Ma) characteristics, requiring 50 iteration steps with co-working errors of larger than 10−03. The results indicate that hybrid-dimensional simulations using the adaptive integration method exhibit good stability and convergence in the flight status compared to the direct integration method. Moreover, both the speed and altitude characteristics using the adaptive integration method cost approximately 24 hours on a computer workstation.https://www.tandfonline.com/doi/10.1080/19942060.2024.2391447Computational fluid dynamicshybrid-dimensional simulationsadaptive integration methodaeroengineturbomachineryflight status |
| spellingShingle | Weimin Deng Xiting Wang Yibing Xu Haoyang Xu An adaptive integration method for hybrid-dimensional simulations of aeroengine flight statuses by incorporating computational fluid dynamics models of turbomachinery subcomponents Engineering Applications of Computational Fluid Mechanics Computational fluid dynamics hybrid-dimensional simulations adaptive integration method aeroengine turbomachinery flight status |
| title | An adaptive integration method for hybrid-dimensional simulations of aeroengine flight statuses by incorporating computational fluid dynamics models of turbomachinery subcomponents |
| title_full | An adaptive integration method for hybrid-dimensional simulations of aeroengine flight statuses by incorporating computational fluid dynamics models of turbomachinery subcomponents |
| title_fullStr | An adaptive integration method for hybrid-dimensional simulations of aeroengine flight statuses by incorporating computational fluid dynamics models of turbomachinery subcomponents |
| title_full_unstemmed | An adaptive integration method for hybrid-dimensional simulations of aeroengine flight statuses by incorporating computational fluid dynamics models of turbomachinery subcomponents |
| title_short | An adaptive integration method for hybrid-dimensional simulations of aeroengine flight statuses by incorporating computational fluid dynamics models of turbomachinery subcomponents |
| title_sort | adaptive integration method for hybrid dimensional simulations of aeroengine flight statuses by incorporating computational fluid dynamics models of turbomachinery subcomponents |
| topic | Computational fluid dynamics hybrid-dimensional simulations adaptive integration method aeroengine turbomachinery flight status |
| url | https://www.tandfonline.com/doi/10.1080/19942060.2024.2391447 |
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