Aerodynamics Analysis of NASA Common Research Model Using BCM-TAS Coupling Flow Solver Article Swipe
Shinya MAKINO
,
Takashi Misaka
,
Shigeru Obayashi
,
Takuya HIROSE
,
Daisuke SASAKI
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.2322/astj.jsass-d-17-00038
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.2322/astj.jsass-d-17-00038
In this study, the aerodynamic performance of NASA Common Research Model (wing-body configuration) was analyzed by coupling a Cartesian mesh CFD solver of Building-Cube Method (BCM) and an unstructured mesh CFD solver of Tohoku University Aerodynamic Simulation (TAS) codes. The thin boundary layer was handled by the unstructured body-fitted mesh near wall, while the vortical wake was effectively resolved by the multi-level Cartesian mesh of BCM. The computational results were compared with those of the transonic wind tunnel tests for validation. The lift and drag coefficients as well as pressure coefficient around wing sections were comparable with the experimental and numerical results by other participants. In addition, the advantage of the multi-level Cartesian mesh was presented by the sharply captured wake in the present simulation. It is confirmed that results of the BCM-TAS Coupling Flow Solver is generally agreed well with the experimental data in aerodynamic predictions and wake analyses.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2322/astj.jsass-d-17-00038
- OA Status
- diamond
- References
- 7
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2542267221
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Raw OpenAlex JSON
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https://openalex.org/W2542267221Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2322/astj.jsass-d-17-00038Digital Object Identifier
- Title
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Aerodynamics Analysis of NASA Common Research Model Using BCM-TAS Coupling Flow SolverWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-01-01Full publication date if available
- Authors
-
Shinya MAKINO, Takashi Misaka, Shigeru Obayashi, Takuya HIROSE, Daisuke SASAKIList of authors in order
- Landing page
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https://doi.org/10.2322/astj.jsass-d-17-00038Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.2322/astj.jsass-d-17-00038Direct OA link when available
- Concepts
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Aerodynamics, Solver, Wake, Transonic, Computational fluid dynamics, Aerospace engineering, Pressure coefficient, Cartesian coordinate system, Computer science, Drag coefficient, Wind tunnel, Lift (data mining), Drag, Mechanics, Engineering, Physics, Geometry, Mathematics, Data mining, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.study, | 2 |
| abstract_inverted_index.tunnel | 77 |
| abstract_inverted_index.BCM-TAS | 132 |
| abstract_inverted_index.handled | 44 |
| abstract_inverted_index.present | 123 |
| abstract_inverted_index.results | 68, 101, 129 |
| abstract_inverted_index.sharply | 118 |
| abstract_inverted_index.Coupling | 133 |
| abstract_inverted_index.Research | 9 |
| abstract_inverted_index.analyzed | 14 |
| abstract_inverted_index.boundary | 41 |
| abstract_inverted_index.captured | 119 |
| abstract_inverted_index.compared | 70 |
| abstract_inverted_index.coupling | 16 |
| abstract_inverted_index.pressure | 89 |
| abstract_inverted_index.resolved | 58 |
| abstract_inverted_index.sections | 93 |
| abstract_inverted_index.vortical | 54 |
| abstract_inverted_index.Cartesian | 18, 62, 112 |
| abstract_inverted_index.addition, | 106 |
| abstract_inverted_index.advantage | 108 |
| abstract_inverted_index.analyses. | 149 |
| abstract_inverted_index.confirmed | 127 |
| abstract_inverted_index.generally | 137 |
| abstract_inverted_index.numerical | 100 |
| abstract_inverted_index.presented | 115 |
| abstract_inverted_index.transonic | 75 |
| abstract_inverted_index.(wing-body | 11 |
| abstract_inverted_index.Simulation | 36 |
| abstract_inverted_index.University | 34 |
| abstract_inverted_index.comparable | 95 |
| abstract_inverted_index.Aerodynamic | 35 |
| abstract_inverted_index.aerodynamic | 4, 145 |
| abstract_inverted_index.body-fitted | 48 |
| abstract_inverted_index.coefficient | 90 |
| abstract_inverted_index.effectively | 57 |
| abstract_inverted_index.multi-level | 61, 111 |
| abstract_inverted_index.performance | 5 |
| abstract_inverted_index.predictions | 146 |
| abstract_inverted_index.simulation. | 124 |
| abstract_inverted_index.validation. | 80 |
| abstract_inverted_index.coefficients | 85 |
| abstract_inverted_index.experimental | 98, 142 |
| abstract_inverted_index.unstructured | 28, 47 |
| abstract_inverted_index.Building-Cube | 23 |
| abstract_inverted_index.computational | 67 |
| abstract_inverted_index.participants. | 104 |
| abstract_inverted_index.configuration) | 12 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.00177439 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |