Compressibility corrections to extend a smooth local correlation-based transition model to transonic flows
被引:2
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作者:
Piotrowski, M. G. H.
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NASA Ames Res Ctr, Computat Aerosci Branch, Mountain View, CA 94035 USA
Univ Toronto, Inst Aerosp Studies, Toronto, ON, CanadaNASA Ames Res Ctr, Computat Aerosci Branch, Mountain View, CA 94035 USA
Piotrowski, M. G. H.
[1
,2
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Zingg, D. W.
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Univ Toronto, Inst Aerosp Studies, Toronto, ON, CanadaNASA Ames Res Ctr, Computat Aerosci Branch, Mountain View, CA 94035 USA
Zingg, D. W.
[2
]
机构:
[1] NASA Ames Res Ctr, Computat Aerosci Branch, Mountain View, CA 94035 USA
[2] Univ Toronto, Inst Aerosp Studies, Toronto, ON, Canada
This paper presents progress towards a transition modelling capability for use in the numerical solution of the Reynolds-averaged Navier-Stokes equations that provides accurate predictions for transonic flows and is thus suitable for use in the design of wings for aircraft flying at transonic speeds. To this end, compressibility corrections are developed and investigated to extend commonly used empirical correlations to transonic flight conditions while retaining their accuracy at low speeds. A compressibility correction for Tollmien-Schlichting instabilities is developed and applied to a smooth local correlation-based transition model and a stationary crossflow instability compressibility correction is included by adding a new crossflow source term function. Two- and three-dimensional transonic transition test cases demonstrate that the Tollmien-Schlichting compressibility correction produces substantially improved agreement with the experimental transition locations, particularly for higher Reynolds number applications where the effects of flow compressibility are expected to be more significant, such as the NASA CRM-NLF wing-body configuration, while the crossflow compressibility correction prevents an inaccurate, upstream transition front. The compressibility corrections and modifications do not significantly affect the numerical behaviour of the model, which provides an efficient alternative to non-local and higher-fidelity approaches, and can be applied to other transport-equation-based transition models with low-speed empirical correlations without affecting their predictive capability in the incompressible regime.
机构:
Korea Adv Inst Sci & Technol, Dept Aerosp Engn, Daejeon 305701, South KoreaKorea Adv Inst Sci & Technol, Dept Aerosp Engn, Daejeon 305701, South Korea
Choi, Jae Hoon
Kwon, Oh Joon
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Korea Adv Inst Sci & Technol, Dept Aerosp Engn, Daejeon 305701, South KoreaKorea Adv Inst Sci & Technol, Dept Aerosp Engn, Daejeon 305701, South Korea
机构:
Southeast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 211189, Peoples R ChinaSoutheast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 211189, Peoples R China
Liu, Yang
Li, Gang
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Jiangnan Univ, Sch Internet Things Engn, Wuxi 214122, Jiangsu, Peoples R ChinaSoutheast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 211189, Peoples R China
Li, Gang
Wang, Chengxiang
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Southeast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 211189, Peoples R China
Purple Mt Labs, Pervas Commun Res Ctr, Nanjing 211111, Peoples R ChinaSoutheast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 211189, Peoples R China
机构:
National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast UniversityNational Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University
Yang Liu
Gang Li
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机构:
School of Internet of Things Engineering, Jiangnan UniversityNational Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University
Gang Li
Chengxiang Wang
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机构:
National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University
Pervasive Communication Research Center,Purple Mountain LaboratoriesNational Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University