Hybrid turbulence model simulations of internal and external flows

A. Gross, H. F. Fasel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The large computational expense of direct numerical simulations provides motivation for the continuous development of new and improved turbulence models. In our research the standard k-ω and k-ε two-equation turbulence models were modified by limiting the turbulence length scale. The resulting hybrid models and a renormalization group hybrid model were tested for a plane channel flow at Reτ = 395 and for the Stanford asymmetric diffuser. All three models were then employed for investigating the separated flow on the suction side of a wing section with a modified NACA643-618 airfoil for Re=300,000 and α=15deg. As a reference, in addition to the hybrid simulations, a direct numerical simulation was carried out. Although plausible results were obtained for the plane channel flow, the diffuser flow simulations were inconclusive. For the wing section, very good agreement with the DNS data was obtained with the RG model. For the two-equation hybrid models, the turbulent suction side boundary layer separated too early compared to the DNS.

Original languageEnglish (US)
Title of host publication52nd AIAA Aerospace Sciences Meeting - AIAA Science and Technology Forum and Exposition, SciTech 2014
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781624102561
DOIs
StatePublished - 2014
Event52nd AIAA Aerospace Sciences Meeting - AIAA Science and Technology Forum and Exposition, SciTech 2014 - National Harbor, MD, United States
Duration: Jan 13 2014Jan 17 2014

Publication series

Name52nd AIAA Aerospace Sciences Meeting - AIAA Science and Technology Forum and Exposition, SciTech 2014

Other

Other52nd AIAA Aerospace Sciences Meeting - AIAA Science and Technology Forum and Exposition, SciTech 2014
Country/TerritoryUnited States
CityNational Harbor, MD
Period1/13/141/17/14

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

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