Open Access Open Access  Restricted Access Subscription or Fee Access

Aerodynamic-Shape Optimization of Supersonic-Missiles Using Monte-Carlo

A. Z. Al-Garni(1*), A. H. Kassem(2), A. M. Abdallah(3)

(1) King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
(2) King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
(3) King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
(*) Corresponding author


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


This paper presents a fast and reliable technique for aerodynamic shape optimization of supersonic missiles using Monte Carlo optimization method. The technique is based on two modules: Aerodynamics module and optimization module. The aerodynamic module is based on components build-up method where analytical, and semi-empirical of different missile components were added together, with some interference factors, to calculate the overall aerodynamics of the missile. The Aerodynamics module is validated against known wind tunnel data and showed good agreement. The optimization module is aimed at finding Missile geometry (such as length, fins dimensions and fins location, etc.) which maximize lift-over-drag using Monte Carlo technique. Monte Carlo simulation Technique has proved itself as a simple and easy to implement tool for aerospace vehicles shape optimization.
Copyright © 2016 Praise Worthy Prize - All rights reserved.

Keywords


Analytical Aerodynamic Model; Component Build-Up Method; Monte Carlo; Missile Shape Configuration Optimization; Supersonic

Full Text:

PDF


References


Micheal J. Hemsch, Jack N. Nielsen, Tactical Missile Aerodynamics, Progress in Astronautics and Aeronautics; V.124, (American Institute of Aeronautics and Astronautics, Inc, 1992).
http://dx.doi.org/10.1017/s0001924000021680

S. S. Chin, Missile Configuration Design, (McGraw Hill Book Company, 1961).
http://dx.doi.org/10.1017/s0368393100075866

Eugene L. Fleeman, Tactical Missile Design, 2nd edition, (AIAA Education Series, 2006).

J. Roshanian, Z. Keshavarz Effect of Variable Selection on Multidisciplinary Design Optimization a Flight Vehicle Example, Chinese Journal of Aeronautics, pp.86-96, 2006.
http://dx.doi.org/10.1016/s1000-9361(07)60012-0

Thomas J. Sooy, Rebecca Z. Schmidt, Aerodynamic Predictions, Comparison and Validatind Using Missile DATCOM (97) and Aeroprediction 98 (AP98). Journal of Spacecraft and Missiles, Vol. 42, No. 2, pp.257-265, March, 2005.
http://dx.doi.org/10.2514/1.7814

Ward Cheney and David Kincaid, Numerical Mathematics and Computing, (Brooks/Cole Publishing Company, 1999).

G. Kjellström, Useful Monte Carlo optimization, Journal of Optimization Theory and Applications, Volume 69, Number 1 / April, 1991.
http://dx.doi.org/10.1007/bf00940468

J. W. Cornelisse, H. F. R. Schoyer, K. F. Wakker, Rocket Propulsion and Spaceflight Dynamics, (Pitman Publishing Limited, 1979).
http://dx.doi.org/10.1002/zamm.19800600315

George M. Siouris, Missile Guidance and Control Systems, (New York, Springer, 2004).
http://dx.doi.org/10.1002/rnc.1056

USAF DATCOM, 1970.
http://dx.doi.org/10.1109/oceans.1993.326107

N. F. Kvasnov, Aerodynamics I, II, (1980).

D.. Lesieutre, John F. Love, Marnix F. E. Dillenius, Prediction of the Nonlinear Aerodynamic Characteristics of Tandem-Control and Rolling-Tail Missiles, AIAA 2002-4511, August, 2002.
http://dx.doi.org/10.2514/6.2002-4511

Toshikazu Motoda, Simplified Approach to Identifying Influential Uncertainties in Monte Carlo Analysis. Journal of Spacecraft and Missiles, Vol. 41, No. 1, pp.1071-1074, November, 2004.
http://dx.doi.org/10.2514/1.10265

Ayman M. Abdallah, On Rocket Performance, Stability and Control, Master thesis, Aerospace Eng. Dept., King Fahd University Of Petroleum & Minerals, Dhahran, 2007.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2019 Praise Worthy Prize