The present study has been concerned with the prediction of hypersonic re-entry flows using a simplified and cost-effective computational method. Due to the wide range of flight conditions considered, it has been found necessary to consider two different physical and chemical models for the high and low altitudes regimes. Nevertheless, the coupled Euler/boundary layer method employed has been shown to be numerically robust throughout the entire re-entry range considered. Such robustness, together with low computational cost, are essential ingredients for a useful design tool. The results obtained in the present study appear to be sufficiently accurate for design studies. Nevertheless, it is important to note that the coupled method provides a convenient framework for the implementation of more complex flow physical (e.g., turbulence, transition) models. While the computation of certain flow phenomena (e.g., separated flows, shock-boundary layer interaction) may require a more complex numerical method, the present method has potential application for a large number of different re-entry flows. The coupled Euler/boundary layer method therefore provides a cost-effective, yet powerful, predictive tool for design purposes.
The coupled Euler/boundary layer method as a design tool for hypersonic re-entry vehicles
Die gekoppelte Euler-Grenzschichtmethode als Entwurfswerkzeug für mit Hyperschall in die Erdatmosphäre wiedereintretende Raumfahrzeuge
Zeitschrift für Flugwissenschaften und Weltraumforschung ; 20 , 3 ; 137-144
1996
8 Seiten, 4 Bilder, 1 Tabelle, 35 Quellen
Aufsatz (Zeitschrift)
Englisch
Raumfahrzeug , Hyperschallgeschwindigkeit , Mach-Zahl , Erdatmosphäre , Wiedereintritt , Flugbahn , Stoßwelle , laminare Grenzschicht , turbulente Grenzschicht , Trajektorie , Euler-Gleichung , Rechenmodell , Systementwurf , Kostenersparnis , Strömungsmechanik , Abreißen der Strömung , Wechselwirkung , Wandtemperatur
The coupled Euler-boundary layer method as a design tool for hypersonic re-entry vehicles.
Online Contents | 1996
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AIAA | 2017
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