Hostname: page-component-848d4c4894-ttngx Total loading time: 0 Render date: 2024-04-30T20:51:45.635Z Has data issue: false hasContentIssue false
  • English
  • Français

Automated CFD Analysis for the Investigation of Flight Handling Qualities

Published online by Cambridge University Press:  16 May 2011

M. Ghoreyshi ,
K. J. Badcock ,
A. Da Ronch ,
D. Vallespin  and
A. Rizzi
M. Ghoreyshi*
Affiliation:
School of Engineering, University of Liverpool, Liverpool, UK, L69 3GH
K. J. Badcock
Affiliation:
School of Engineering, University of Liverpool, Liverpool, UK, L69 3GH
A. Da Ronch
Affiliation:
School of Engineering, University of Liverpool, Liverpool, UK, L69 3GH
D. Vallespin
Affiliation:
School of Engineering, University of Liverpool, Liverpool, UK, L69 3GH
A. Rizzi
Affiliation:
Aeronautical and Vehicle Engineering, Royal Institute of Technology (KTH), SE-100 44, Sweden
*
⋆ Corresponding author, E-mail: m.ghoreyshi@liv.ac.uk
Get access

Abstract

Physics based simulation is widely seen as a way of increasing the information about aircraft designs earlier in their definition, thus helping with the avoidance of unanticipated problems as the design is refined. This paper reports on an effort to assess the automated use of computational fluid dynamics level aerodynamics for the development of tables for flight dynamics analysis at the conceptual stage. These tables are then used to calculate handling qualities measures. The methodological questions addressed are a)geometry and mesh treatment for automated analysis from a high level conceptual aircraft description and b) sampling and data fusion to allow the timely calculation of large data tables. The test case used to illustrate the approaches is based on a refined design passenger jet wind tunnel model. This model is reduced to a conceptual description, and the ability of this geometry to allow calculations relevant to the final design to be drawn is then examined. Data tables are then generated and handling qualities calculated.

Keywords

CFDhandling qualitiesaircraft designsampling and data fusion
Type
Research Article
Information
Mathematical Modelling of Natural Phenomena , Volume 6 , Issue 3: Computational aerodynamics , 2011 , pp. 166 - 188
Copyright
© EDP Sciences, 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Références

J. J. Alonso, J.R. Martins, J. J. Reuther, R. Haimes, C. A. Crawford. High-fidelity aero-structural design using a parametric CAD-based model.16th AIAA Computational Fluid Dynamics Conference, Orlando, FL, June 23- 26, 2003, AIAA-2003-3429.
Badcock, K. J., Richards, B. E., Woodgate, M. A.. Elements of computational fluid dynamics on block structured grids using implicit solvers. Progress in Aerospace Sciences, 36 (2000), 351-392. CrossRefGoogle Scholar
Baker, J. T.. Mesh generation: Art or science? Progress in Aerospace Sciences, 41 (2005), 29-63. CrossRefGoogle Scholar
Becker, K., Vassberg, J.. Numerical aerodynamics in transport aircraft design. Notes on Num. Fluid Mechanics, 100 (2009), 209-220. Google Scholar
A. Berard, A. Rizzi, A. T. Isikveren. CADac: a new geometry construction tool for aerospace vehicle pre-design and conceptual design. 26th Applied Aerodynamics Conference, Honolulu, Hawaii, USA, August 18-21, 2008, AIAA-2008-6219.
Bergmann, A., Hubner, A., Loeser, T.. Experimental and numerical research on the aerodynamics of unsteady moving aircraft. Progress in Aerospace Sciences, 44 (2008), 121-137. CrossRefGoogle Scholar
W. B. Blake. Prediction of Fighter Aircraft Dynamic Derivatives Using Digital Datcom. AlAA 3rd Applied Aerodynamics Conference, Colorado Springs, Colorado, October 14-16, 1985, AIAA-85-4070.
K. Bowcutt. A perspective on the future of aerospace vehicle design. 12th AIAA International Space Planes and Hypersonic Systems and Technologies, Norfolk, Virginia, Dec. 15-19, 2003, AIAA 2003-6957.
Cooper, G. E.. Understanding and interpreting pilot opinions. Aeron Eng. Rev., 16 (1957), No. 3, 47-51. Google Scholar
P. Eliasson. EDGE, a Navier-Stokes solver for unstructured grids, finite volumes for complex applications III: problems and perspectives. Hermes Penton Science, London, 2002.
J.R. Gloudemans, P. C. Davis, P. A. Gelhausen. A rapid geometry modeler for conceptual aircraft. 34th Aerospace Sciences Meeting and Exhibit, Reno, NV, Jan. 15-18, 1996, AIAA-1996-0052.
T. Goetzendorf-Grabowski, J. B. Vos, S. Sanchi, P. Molitor, M. Tomac, A. Rizzi. Coupling adaptive-fidelity CFD with S&C analysis to predict flying qualities. 27th AIAA Applied Aerodynamics Conference, San Antonio, Texas, June 22-25, 2009, AIAA-2009-3630.
Ghoreyshi, M., Badcock, K. J., Woodgate, M. A.. Accelerating the numerical generation of aerodynamic models for flight simulation. Journal of Aircraft, 46 (2009), No. 3, 972-980. CrossRefGoogle Scholar
R. Haimes. CAPRI: Computational analysis programming interface. CAPRI technical guide, Massachusetts Institute of Technology, 1998.
A. T. Isikveren. Quasi-analytical modelling and optimisation techniques for transport aircraft design. PhD Thesis, Department of Aeronautics, Royal Institute of Technology, Stockholm, Sweden, 2002.
R. von Kaenel, A. Rizzi, J. Oppelstrup, T. Goetzendorf-Grabowski, M. Ghoreyshi, L. Cavagna, A. Berard. CEASIOM: simulating stability & control with CFD/CSM in aircraft conceptual design, 26th International Congress of the Aeronautical Sciences, ICAS, 2008.
F. Ladeinde. Truely automatic CFD mesh generation with support for reverse engineering. Aerospace Sciences Meeting and Exhibit, 37th, Reno, NV, Jan. 11-14, 1999, AIAA 99-0828.
Lohner, R.. Automatic unstructured grid generators. Journal of Finite Elements in Analysis and Design, 25 (1997), 111-134. CrossRefGoogle Scholar
Lohner, R., Cebral, J.. Generation of non-isotropic unstructured grids via directional enrichment. International Journal for Numerical Methods in Engineering, 49 (2000), 219-232. 3.0.CO;2-3>CrossRefGoogle Scholar
W. H. Mason, D. L. Knill, A. A. Giunta, B. Grossman, L. T. Watson, R. T. Haftka. Getting the full benefits of CFD in conceptual design. 16th Applied Aerodynamics Conference, Albuquerque, NM, June 15-18, 1998, AIAA 98-2513.
D. N. Mavris, D. A. DeLaurentis, D. S. Soban. Probabilistic assessment of handling qualities characteristics in preliminary aircraft design. 36th Aerospace Sciences Meeting and Exhibit, Reno, NV, Jan. 12-15, 1998, AIAA 98-0492.
B. Mialon, S. Ben Khelil, A. Huebner, J.-C. Jouhaud, G. Roge, S. Hitzel, K. Badcock, P. Eliasson, A. Khabrov, M. Lahuta. European benchmark on numerical prediction of stability and control derivatives. 27th AIAA Applied Aerodynamics Conference, San Antonio, TX, June 22-25, 2009, AIAA-2009-4116.
D. J. McCormick. An analysis of using CFD in conceptual aircraft design, M.S. Thesis, Dept. of Mechanical Engineering, Virginia Polytechnic Institute, Blacksburg, VA, 2002.
Melin, T., Isikveren, A. T., Rizzi, A., Stamblewski, C., Anders, H. V.. How industry concepts of concurrent engineering enhance aircraft design education. Journal of Aerospace Engineering, 221 (2007), 175-192. Google Scholar
D. P. Raymer. Aircraft design: A conceptual approach. AIAA Education Series, Reston, VA, USA, 2006,
V. Razgonyaev, W.H. Mason. An evaluation of aerodynamic prediction methods applied to the XB-70 for use in high speed aircraft stability and control system design. 33rd Aerospace Sciences Meeting and Exhibit, Reno, Nevada, 1995, AIAA-95-0759.
S. E. Rogers, M. J. Aftomis, S. A. Pandya, N. M. Chaderjian, E. T. Tejnil, J. U. Ahmad. Automated CFD parameter studies on distributed parallel computers. 16th AIAA Computational Fluid Dynamics Conference, Orlando, Florida, 2003, AIAA 2003-4229.
D. L. Rodriguez, P. Sturdza. A rapid geometry engine for preliminary aircraft design. 44th Aerospace Science Meeting and Exhibit, Reno, NV, Jan. 9-12, 2006, AIAA-2006-929.
J. Roskam. Airplane design. Roskam Aviation and Engineering Corporation, Kansas, USA, 1990.
J. E. Williams, S. R. Vukelich. The USAF stability and control digital DATCOM. McDonnell Douglas Astona UTICS Company, St Louis Division, St Louis, Missouri, AFFDL-TR-79-3032, 1979.