Skip to main navigation Skip to search Skip to main content

Numerical simulations of a scramjet isolator using RANS and les approaches

  • Jeffrey B. Allen
  • , Thomas Hauser
  • , C. J.John Tam
  • Utah State University
  • AIAA
  • Taitech, Inc.
  • Air Force Research Laboratory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

The internal, compressible, turbulent flow through a scramjet-isolator configuration is presented, with the primary goal being to better determine the shock train leading edge location of a typical Mach 2 nozzle-isolator configuration. Both 2D and 3D approaches are utilized, in conjunction with a variety of different turbulence models taken from both RANS and filtered models. The effects of inlet turbulence, as well as the use of grid adaption techniques are evaluated under the 2D assumption and render certain simplifying assumptions valid for the 3D cases. Experimental comparisons reveal that the RANS approach best conform to experimental observations, while the LES approach showed the most degree of disparity. Further LES simulations are warranted however, particularly since these were performed without the aid of density based solvers, which greatly facilitates the prior to the inception of a new FLUENT release, (version 63) which contains several improvements over previous releases with respect to compressible, turbulent flows.

Original languageEnglish
Title of host publicationCollection of Technical Papers - 45th AIAA Aerospace Sciences Meetin
Pages1305-1313
Number of pages9
StatePublished - 2007
Externally publishedYes
Event45th AIAA Aerospace Sciences Meeting 2007 - Reno, NV, United States
Duration: Jan 8 2007Jan 11 2007

Publication series

NameCollection of Technical Papers - 45th AIAA Aerospace Sciences Meeting
Volume2

Conference

Conference45th AIAA Aerospace Sciences Meeting 2007
Country/TerritoryUnited States
CityReno, NV
Period01/8/0701/11/07

Fingerprint

Dive into the research topics of 'Numerical simulations of a scramjet isolator using RANS and les approaches'. Together they form a unique fingerprint.

Cite this