PREDICTION OF AERODYNAMIC DERIVATIVES USING COMPUTATIONAL FLUID DYNAMICS (CFD) AT TRANSONIC SPEED
Keywords:
Computational, Derivatives, Prediction, Transonic, UnsteadyAbstract
This paper aims on the evaluation of the aerodynamic derivatives from computational fluid dynamics to obtained derivatives at transonic speed. The derivatives are computed using the equation of Reynolds-Averaged-Navier-Stokes and a time-domain flow solver. In order to predict this study, standard dynamic model geometry is adopted. Three separated method is used for the calculation of aerodynamic derivatives. Then, the comparable among low-fidelity solver, high-fidelity computational and experimental data available show a satisfactory agreement was observed simultaneously. The conducted study shows the evaluation of unsteady aerodynamic derivatives prediction useful for longitudinal motion. The derivatives such as normal force derivatives and pitching moment derivatives were playing an important derivative for the aerodynamic coefficient for the dynamic motion analysis.
References
Ueno, M., and Miwa, H., 2001. New Dynamic Stability Equipment for Transonic Wind Tunnel Testing at NAL, 39th AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV.
Hashimoto, A., Hashizume, M., Sunada, S., Ueno, M., Murakami, K., 2013. Unsteady Analysis of Aerodynamic Derivatives on Standard Dynamic Model. 51st AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition, Grapevine (Dallas/Ft. Woth Region), Texas.
Narita, Y., Hashimoto, A., Kanazaki, M., 2012. Numerical Simulation: Flight Dynamics Stability Analysis using Unstructured Based Navier-Stokes Solver. Asia-Pacific International Symposium on Aerospace Technology (APISAT 2012), Korea.
Cristofaro, M., Wang Y., and Ronch, A. Da., 2014. Towards Computational Flight Dynamics of A Passengers Jet Aircraft. 29th Congress of the International Council of the Aeronautical Sciences, ICAS 2014, St.Petersburg, Russia.
Salas, M. D., 2006. Digital Flight: The Last CFD Aeronautical Grand Challenge. Journal of Scientific Computing. 28: No.2/3.
Murayama, M., Yamamoto, K., Hashimoto, A., Ishida, T., Ueno. M., Tanaka, K., Ito, Y., 2013. Summary of JAXA Studies for the AIAA CFD Drag Prediction Workshop Using UPACS and FaSTAR.
Hashimoto, A., Murakami, K., Aoyama, T., et al, 2012. Development of FAST Unstructured CFD Code “FaSTAR”. ICAS 2012.
Ronch, A. Da., Ghoreyshi, M., and Badcock, K. J., 2011. On the Generation of Flight Dynamics Aerodynamics Tables by Computational Fluid Dynamics. Progress in Aerospace Sciences. 47:8:597-620.
Ronch, A. Da., Vallespin, D., 2012. Evaluation of Dynamic Derivatives Using Computational Fluid Dynamics. AIAA Journal. 50:2:470-484.
Park, M. A., Green, L. L., 2000. Steady-State Computation of Constant Rotational Rate Dynamic Stability Derivatives. 18th Applied Aerodynamics Conference. AIAA 2000-4321.
Grabowski, T. G., Mieszalski D., and Marcinkiewicz, E., 2011. Stability Analysis Using SDSA Tool. Progress in Aerospace Sciences. 47: 636-646.
Rizzi, A., 2011. Modeling and Simulating Aircraft Stability and Control-The SIMSAC Project. Progress in Aerospace Sciences 47: 573-588.
Zhengjie, W., Zhijun, L., Ningjun F., and Meifang, G., 2013. Flight Dynamics Modelling of A Small Ducted Fan Aerial Vehicle Based on Parameter Identification. Chinese Journal of Aeronautics. 26:6:1439-1448.
Hashimoto, A., Hayashi, K., Ishiko, K., Murakami, K., Aoyama, T., Tagai, R., Koga S., and Nagai, S., 2014. Dynamic Stability Analysis of Reentry Capsule with Detached-Eddy Simulation. 11th World Congress on Computational Mechanics, 5th European Conference on Computational Mechanics and 6th European Conference on Computational Fluid Dynamics, Barcelona, Spain.
Schmit, E., 1985. Standard Dynamics Model Experiments with The DFVLR/AVA Transonic Derivative Balance. AGARD-CP-386 Ref. No. 2.
Hashimoto, A., Murakami, K., Aoyama, T., Lahur, P. R., 2009. Lift and Drag Prediction Using Automatic Hexahedra Grid Generation Method. AIAA 2009-1365.
Lahur, P. R., 2005. Automatic Hexahedra Grid Generation Method for Component-Based Surface Geometry, AIAA 005-5242.
Spalart, R. R., and Allmaras, S. R., 1992. A One-Equation Turbulence Model for Aerodynamic Flows. 30th Aerospace Sciences Meeting and Exhibit, Reno, Nevada. AIAA 1992-0439.
Fureby, C., 2008. Towards the Use of Large Eddy Simulation in Engineering. Progress in Aerospace Sciences. 44:381-396.
Shima, E., Kitamura, K., Fujimoto, K., 2010. New Gradient Calculation Method for MUSCL Type CFD Schemes in Arbitrary Polyhedra. 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, AIAA 2010-1081.
Hishida, M., Hashimoto, A., Murakami, K., Aoyama, T., 2010. A New Slope Limiter for Fast Unstructured CFD Solver FaSTAR. 42th Fluid Dynamics lecture/Aerospace Numerical Simulation Symposium.
Visbal, M. R., and Gordnier, R. E., 2000. A High-Order Flow Solver for Deforming and Moving Meshes. Fluids Conference and Exhibit, Denver, CO. AIAA 2000-2619.
Sharov, D., and Nakahashi, K., 1998. Reordering of Hybrid Unstructured Grids for Lower/Upper Symmetric Gauss-Seidel Computations. AIAA Journal: Technical Notes. 36:3:484-486.
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