Characterization of freestream disturbances in conventional hypersonic wind tunnels

Lian Duan, Meelan M. Choudhari, Amanda Chou, Federico Munoz, Rolf Radespiel, Thomas Schilden, Wolfgang Schröder, Eric C. Marineau, Katya M. Casper, Ross S. Chaudhry, Graham V. Candler, Kathryn A. Gray, Steven P. Schneider

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Although low-disturbance (“quiet”) hypersonic wind tunnels are believed to provide more reliable extrapolation of boundary-layer transition behavior from ground to flight, the presently available quiet facilities are limited to Mach 6, moderate Reynolds numbers, low freestream enthalpy, and subscale models. As a result, only conventional (“noisy”) wind tunnels can reproduce both Reynolds numbers and enthalpies of hypersonic flight configurations and must therefore be used for flight vehicle test and evaluation involving high Mach number, high enthalpy, and larger models. This paper outlines the recent progress and achievements in the characterization of tunnel noise that have resulted from the coordinated effort within the AVT-240 specialists group on hypersonic boundary-layer transition prediction. The new experimental measurements cover a range of conventional wind tunnels with different sizes and Mach numbers from 6 to 14 and extend the database of freestream fluctuations within the spectral range of boundary-layer instability waves over commonly tested models. New direct numerical simulation datasets elucidate the physics of noise generation inside the turbulent nozzle wall boundary layer, characterize the spatiotemporal structure of the freestream noise, and account for the propagation and transfer of the freestream disturbances to a Pitot-mounted sensor.

Original languageEnglish (US)
Pages (from-to)357-368
Number of pages12
JournalJournal of Spacecraft and Rockets
Volume56
Issue number2
DOIs
StatePublished - 2019

Bibliographical note

Funding Information:
This work was sponsored by the U.S. Air Force Office of Scientific Research (under grants FA9550-14-1-0170, FA9550-17-1-0250, and FA9550-12-1-0167). Partial support was also provided by the Office of Naval Research (under grant N00014-17-1-2347) and National Science Foundation (under grant CBET-1706894). Computational resources were provided by the U.S. Department of Defense High Performance Computing Modernization Program, the NASA Advanced Supercomputing Division, and the National Science Foundation Petascale Computing Resource Allocations Program (under grant ACI-1640865). Eric Marineau would like to acknowledge the Test Resource Management Center T&E/S&T HSST program for their funding as part of the Center of Testing Excellence. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the funding agencies or the U.S. Government. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the U.S. Government.

Funding Information:
This work was sponsored by the U.S. Air Force Office of Scientific Research (under grants FA9550-14-1-0170, FA9550-17-1-0250, and FA9550-12-1-0167). Partial support was also provided by the Office of Naval Research (under grant N00014-17-1-2347) and National Science Foundation (under grant CBET-1706894). Computational resources were provided by the U.S. Department of Defense High Performance Computing Modernization Program, the NASA Advanced Supercomputing Division, and the National Science Foundation Petascale Computing Resource Allocations Program (under grant ACI-1640865). Eric Marineau would like to acknowledge the Test Resource Management Center T&E/S&T HSST program for their funding as part of the Center of Testing Excellence. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the funding agencies or the U.S. Government. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the U.S. Government.

Publisher Copyright:
Copyright © 2018 by Lian Duan and United States Government. Published by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

Fingerprint Dive into the research topics of 'Characterization of freestream disturbances in conventional hypersonic wind tunnels'. Together they form a unique fingerprint.

Cite this