Open AccessCharacterization of Freestream Disturbances in Conventional Hypersonic Wind Tunnels
Author(s) -
Lian Duan,
Meelan M. Choudhari,
Amanda Chou,
Federico Muñoz,
Rolf Radespiel,
Thomas Schilden,
Wolfgang Schröder,
Eric C. Marineau,
Katya M. Casper,
Ross S. Chaudhry,
Graham V. Candler,
Kathryn A. Gray,
Steven P. Schneider
Publication year - 2019
Publication title -
journal of spacecraft and rockets
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.758
H-Index - 79
eISSN - 1533-6794
pISSN - 0022-4650
DOI - 10.2514/1.a34290
Subject(s) - freestream , mach number , hypersonic speed , aerospace engineering , boundary layer , wind tunnel , reynolds number , stagnation enthalpy , mechanics , turbulence , physics , engineering
While 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 article 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. 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. 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. Prospects for applying the computational and measurement datasets for developing mechanism-based transition prediction models are discussed.