Performance Optimization of a Thrust-Vectoring Nozzle

Article Preview

Abstract:

This study employed Computational Fluid Dynamics, CFD solution to configure the entire shape of the nozzle. The problems arising from the initial geometrical shape obtained using one-dimensional approach were highlighted. Then with a two-dimensional approach and coded FORTRAN programs, the convergent portion was handled with time matching CFD while the divergent portion was handled with space matching CFD. A post-processing results analysis shows that the results are in agreement with that obtained with the analytical approach. This research has demonstrated significant and tangible benefits of the use of CFD numerical experimentation to optimize the shape of the nozzle. These benefits are not solely limited to performance enhancements, but solution reliability and algorithm development.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 18-19)

Pages:

407-413

Citation:

Online since:

June 2007

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2007 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J. Pucket Supersonic Nozzle Design. Journal of Applied Mechanics. 13 (4). (1988). 314-338.

Google Scholar

[2] B. Tom. Nozzle Performance. http/www. nasa. gov/www/k-4/airplane/nozzle. html, (2001). 1-2.

Google Scholar

[3] A.S. Adavbiele and L.A. Salami. Optimizing the Shape of the Divergent Portion of a Thrust-Vectoring Laval Nozzle for Isentropic Flow. Journal of Engineering Science and Applications. Vol 4 (2). (. 2005). 73-89.

Google Scholar

[4] C.A. Flecther Computational Techniques for Fluid Dynamics. Vol. I & II, Springger-Verlag, Berlin. (1995).

Google Scholar

[5] J.D. Anderson, Jr. Computational Fluid Dynamics. McGraw-Hill, New York. (1995).

Google Scholar

[6] E.I. Joughton. and A.E. Brock. Tables for the Compressible Flow of Dry Air, 3rd Edition. Edward Arnold, London. (1975).

Google Scholar

[7] J. D. Anderson, Jr. Modern Compressible Flow. McGraw-Hill, New York. (1988).

Google Scholar

[8] B. Richard. Morrison, Editor and J. I. Melva, Assistant Editor Design Data for Aeronautics and Astronautics. Wiley, New York. (1962).

Google Scholar

[9] D.J. Wing. Static investigation of Two Fluidic Thrust Vectoring Concepts on a Two-Dimensional Convergent-Divergent Nozzle. NASA. (1994). TM-4574.

Google Scholar

[10] A.C. Bajpai, L.R. Mustoe and D. Walker. Advanced Engineering Mathematics. Wiley, Chichester. (1977). 77-132; 238-290; 505-530.

Google Scholar

[11] A. S Adavbiele. Performance Optimization of a Thrust-Vectoring Nozzle. PhD Thesis. Department of Mechanical Engineering, Ambrose Alli University, Ekpoma. (2007).

Google Scholar

[12] A.K. Deere, B.I. Berrier, J.D. Flamm and S.K. Johnson. Computational Study of Fluidic Thrust Vectoring using Separation Control in a Nozzle. AIAA (2003). 3803.

DOI: 10.2514/6.2003-3803

Google Scholar

[13] P. G Hill and C.R. Peterson. Mechanics and Thermodynamics of Propulsion. Addison-Wesley, Massachusetts. (1965). 45-120, 140-167, 197-228.

Google Scholar