30th AIAA Applied Aerodynamics Conference 2012
DOI: 10.2514/6.2012-2905
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Numerical Prediction of Roll Damping and Magnus Dynamic Derivatives for Finned Projectiles at Angle of Attack

Abstract: The roll damping and Magnus dynamic derivatives, as well as total aerodynamic coefficients, were numerically predicted for two basic fin-stabilized projectiles at a supersonic Mach number of 2.49 for angles of attack ranging from -5 to 90 degrees. The aerodynamic coefficients were computed via time-accurate Reynolds-averaged Navier Stokes numerical methods, and were compared with archival wind tunnel data. Fair to excellent comparisons with experiment were obtained for the total and dynamic coefficients for th… Show more

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Cited by 15 publications
(5 citation statements)
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“…During the unsteady calculation, the inner iteration step was set to 20. 16 To ensure the reliability of the numerical results, grid independence study was carried out, and the results from two turbulence models were compared, including the k ω turbulence model and the γ R e θ t transition model. 17–19…”
Section: Methodsmentioning
confidence: 99%
“…During the unsteady calculation, the inner iteration step was set to 20. 16 To ensure the reliability of the numerical results, grid independence study was carried out, and the results from two turbulence models were compared, including the k ω turbulence model and the γ R e θ t transition model. 17–19…”
Section: Methodsmentioning
confidence: 99%
“…A first-order implicit scheme is adopted for the time integration of the dual-time method. The physical timestep is set as 3 ϫ 10 Ϫ5 s. The number of inner iterations is set to 20 as suggested by previous study (Bhagwandin, 2012). The Spalart-Allmaras (S-A) model with a blended wall function is used to simulate the turbulence for both the HBM and the dual-time method (Spalart and Allmaras, 1992).…”
Section: Computational Model Configurations and Numerical Methods Verificationmentioning
confidence: 99%
“…However, the flow over the spinning vehicle is complex; thus, the computational efficiency and accuracy restrict the application of CFD. Traditionally, the simulation of finned spinning vehicle is considered as an unsteady problem and is usually solved by the dual-time method which is designed for solving transient flow problems (Jameson, 1991;Bhagwandin, 2012). Dual-time method significantly reduces the influence of physics time steps on the numerical stability by introducing the pseudo-time step (DeRango and Zingg, 1997).…”
Section: Introductionmentioning
confidence: 99%
“…R-square describes the correlation between the response values and the predicted response values, and is defined as the ratio of the sum of squares of the regression and the sum of squares about the mean. The value of R-square is between 0 and 1, with values closer to 1 indicating better fits (Bhagwandin, 2012). The R-square values at angles of attack are bigger than 0.995, indicating that the curve fitting is accurate.…”
Section: Variation Frequency Of Lateral Forcementioning
confidence: 99%
“…Three physical time steps were set to T 1 = 5 × 10 −5 s, T 2 = 1 × 10 −5 s, and T 3 = 5 × 10 −6 s, and the corresponding spin angles were 1.839°, 0.368°, and 0.184°. The inner iteration step was set to 20 (Bhagwandin, 2012). Figure 3 shows the aerodynamic coefficients obtained within a spin cycle using different time steps.…”
Section: Temporal Resolutionmentioning
confidence: 99%