Utilization of CFD for the Aerodynamic Analysis of a Subsonic Rocket

Nowadays, every single country aims to have a domestic and national defense industry. In accordance with this purpose, the design of missile structures has become more important than ever. In this study, the design and analyses of a subsonic rocket was carried out with the utilization of Computational Fluid Dynamics (CFD) tools. Also, the effects of several critical parameters; i.e. Mach number, turbulence intensity, turbulence model, on the rocket performance were investigated. It was found out that a variation in Mach number has a substantial effect on the drag coefficient; i.e. an increment in Mach number at approximately 30% results in an increment of drag coefficient nearly 68%. Contrarily, changing the turbulence intensity does not make any significant difference on drag coefficient. Although the appropriate turbulence intensity should be used for every unique problem, in this case, this parameter is not a critical variable to ponder upon. Finally, the implementation of the appropriate turbulence model is critical in the design process as expected. Utilization of k-ω and k-ω SST models differs approximately 12% in terms of drag coefficient; the drag coefficient obtained from k-ω is higher than that of obtained from k-ω SST.

Utilization of CFD for the Aerodynamic Analysis of a Subsonic Rocket

Nowadays, every single country aims to have a domestic and national defense industry. In accordance with this purpose, the design of missile structures has become more important than ever. In this study, the design and analyses of a subsonic rocket was carried out with the utilization of Computational Fluid Dynamics (CFD) tools. Also, the effects of several critical parameters; i.e. Mach number, turbulence intensity, turbulence model, on the rocket performance were investigated. It was found out that a variation in Mach number has a substantial effect on the drag coefficient; i.e. an increment in Mach number at approximately 30% results in an increment of drag coefficient nearly 68%. Contrarily, changing the turbulence intensity does not make any significant difference on drag coefficient. Although the appropriate turbulence intensity should be used for every unique problem, in this case, this parameter is not a critical variable to ponder upon. Finally, the implementation of the appropriate turbulence model is critical in the design process as expected. Utilization of k-ω and k-ω SST models differs approximately 12% in terms of drag coefficient; the drag coefficient obtained from k-ω is higher than that of obtained from k-ω SST.

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  • Referans1 Howell, E., Rockets: A History, space.com contributor, 2015.
  • Referans2 Hammargren, K., Aerodynamics Modeling of Sounding Rockets, Ms. Thesis, Lulea University of Technology, 2018.
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  • Referans4 Aerodynamics and Propulsion, Buckeye Space Launch Initiative, https://cpb-us-w2.wpmucdn.com/u.osu.edu/dist/b/38251/files/2018/01/Workshop-1-Aero-and-Propulsion-qsx91h.pdf.
  • Referans5 Cronvich, L.L., Missile Aerodynamics, John Hopkins APL Technical Digest, 175-186, 1983.
  • Referans6 Gönç, L.O., Computation of External Flow Around Rotating Bodies, PhD. Thesis, Middle East Technical University, 2005
  • Referans7 Başoğlu, O., Three Dimensional Aerodynamic Analysis of Missiles by a Panel Method, MS. Thesis, Middle East Technical University, 2002.
  • Referans8 Fedaravičius, A., Kılıkevıčıus, S., Survıla, A., Patašıenė, L., Analysis of Aerodynamic Characteristics of the Rocket-Target for the „Stinger” System, Problems of Mechatronics Armament, Aviation, Safety Engineering, 7, 1 (23), 2016, 7-16.
  • Referans9 Lopez, D., Dominguez, D., Gonzalo, J., Impact of Turbulence Modeling on External Supersonic Flow Field Simulations in Rocket Aerodynamics, International Journal of Computational Fluid Dynamics, 27:8-10, 332-341.
  • Referans10 Elliot, J., Peraire, J., Practical 3-D Aerodynamic Design and Optimization Using Unstructured Meshes, AIAA Journal, Vol. 35, No:9, 1479-1485, 1997.
  • Referans11 Sahu, J., Heavey, K.R., Parallel CFD Computations of Projectile Aerodynamics with a Flow Control Mechanism, Computers & Fluids, Vol. 88, 678-687, 2013.
  • Referans12 Pirzadeh, S.Z., Frink, N.T., Assessment of the Unstructured Grid Software TetrUSS for Drag Prediction of the DLR-F4 Configuration, AIAA 2002-0839, 2002.
  • Referans13 Langtry R.B., Kuntz, M., Menter, F., Drag prediction of engine air frame interference effects with CFX-5. Journal of Aircraft, 42(6) :1523-1529, 2005.
  • Referans14 Kroll N., Rossow, C.C., Schwamborn, D., Becker, K., Heller, G., MEGAFLOW-a numerical flow simulation tool for transport aircraft design, Proceedings of ICAS Congress, 1105.1-1105.20, 2002.
  • Referans15 Schütte A., Einarsson, G., Madrane, A., Schöning, B., Mönnich, W., Krüger, W.B., Numerical simulation of maneuvering aircraft by CFD and flight mechanic coupling, RTO Symposium, 2002.
Politeknik Dergisi-Cover
  • ISSN: 1302-0900
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 1998
  • Yayıncı: GAZİ ÜNİVERSİTESİ
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