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Creation of aerodynamic database for the X-31
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Aerodynamics.
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Aerodynamics.
2010 (English)In: 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, 2010, 2010-0501- p.Conference paper, Published paper (Refereed)
Abstract [en]

Adaptive fidelity computional fluid dynamics (CFD) uses CFD tools spanning from vortexlattice methods codes to more advanced inviscid Euler solvers and finally URANS (Unsteady Reynolds Averaged Navier Stokes) CFD solvers. At the high end the automatization process is no longer a simple straight forward task, for this purpose a script-driven tool has been developed for integration into the multi-fidelity framework CEASIOM developed in the SimSAC project. The scripting technologies to prepare, conduct, post-process and collect aerodynamic forces & moments into the aero-dataset. The tool together with the CEASIOM framework has been applied to the X-31 to create an aerodynamic dataset that is then analyzed by the stability & control tool SDSA to assess the modes of motion inherent in the dataset.

Place, publisher, year, edition, pages
2010. 2010-0501- p.
Keyword [en]
Aerodynamic database, Aerodynamic forces, CFD solver, Control tools, Data sets, Euler solver, Modes of motion, Post process, Unsteady reynolds-averaged navier-stokes, Vortex lattice method, Aerodynamics, Aerospace engineering, Computational fluid dynamics, Aerodynamic stability
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:kth:diva-31397Scopus ID: 2-s2.0-78649829466ISBN: 978-160086739-2 (print)OAI: oai:DiVA.org:kth-31397DiVA: diva2:403493
Conference
48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition; Orlando, FL; United States; 4 January 2010 through 7 January 2010
Note

QC 20110314

Available from: 2011-03-14 Created: 2011-03-14 Last updated: 2014-08-29Bibliographically approved
In thesis
1. Adaptive-fidelity CFD for predicting flying qualities in preliminary aircraft design
Open this publication in new window or tab >>Adaptive-fidelity CFD for predicting flying qualities in preliminary aircraft design
2011 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

To reduce development cost and to avoid late design fixes in aircraft design, methods that are fast and economic in estimating the aerodynamic characteristics of complex flight vehicles at the preliminary design stage are desired. This work and thesis focus on the adaptive-fidelity CFD approach, with emphasis on the high end of the CFD tools available today.

The core idea of the method is to use computationally cheap modeling in the part of the flight envelope where it is applicable. When the complexity in the flow field increases more details and realism is included in the mathematical model, at a computationally higher cost. A typical case where this would be required could be at the border of the flight envelope, where flow phenomena such as shocks, flow separation, and interacting vortex systems could occur.

Since the number of cases needed to resolve the flight envelope could be in the order of ten thousands automation is required. The bottlenecks are the discretization of the fluid volume and evaluation of raw CFD data and post processing of the data. These issues are also discussed in this work.

The method has been tested on two real flying aircraft, the X-31 delta-winged aircraft with vector thrust, and the Ranger 2000 Jet trainer, as well as on the SACCON preliminary wing-body UCAV design. The results provide improved understanding of the usefulness of this method as an analysis tool during the preliminary design phase all the way into the flight test diagnostic phase of a new aircraft.

 

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2011. x, 23 p.
Series
Trita-AVE, ISSN 1651-7660 ; 2011:07
National Category
Vehicle Engineering
Identifiers
urn:nbn:se:kth:diva-31400 (URN)
Presentation
2011-02-25, Sal H1, KTH, Teknikringen 33, Stockholm, 10:15 (English)
Opponent
Supervisors
Note
QC 20110314Available from: 2011-03-14 Created: 2011-03-14 Last updated: 2011-03-14Bibliographically approved

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