The maneuverability and agility of missiles depend on the precise control of complex, vortex-dominated flows, which involve intricate interactions between vortices, airframe components, and shock waves. To reduce development costs and accelerate time-to-theatre, there is an increased reliance on Computational Fluid Dynamics (CFD) for missile design and performance assessment. This paper presents methodologies to enhance CFD predictions for these challenging flows, building on research initiated by the NATO Science and Technology Organization (STO) Applied Vehicle Technology (AVT) panel under Task Group AVT-316 and continued by AVT-390. The proposed approaches include utilizing the Eigenvalue Perturbation Method to quantify epistemic uncertainties in the closure models of the Reynolds-Averaged Navier-Stokes (RANS) equations, implementing Automatic Mesh Refinement (AMR) to eliminate errors due to grid discretization, and evaluating the potential of adjoint formulations for future application in stability and control predictions. This paper details these methods, highlighting their application to a specific test case, and concludes with a summary of findings and recommendations for future research directions.

AVT-390: Outlook on Innovative Simulation Technologies Arising From Analyses of the DLR LK6E2 Airframe

Rausa, Andrea;Guardone, Alberto
2024-01-01

Abstract

The maneuverability and agility of missiles depend on the precise control of complex, vortex-dominated flows, which involve intricate interactions between vortices, airframe components, and shock waves. To reduce development costs and accelerate time-to-theatre, there is an increased reliance on Computational Fluid Dynamics (CFD) for missile design and performance assessment. This paper presents methodologies to enhance CFD predictions for these challenging flows, building on research initiated by the NATO Science and Technology Organization (STO) Applied Vehicle Technology (AVT) panel under Task Group AVT-316 and continued by AVT-390. The proposed approaches include utilizing the Eigenvalue Perturbation Method to quantify epistemic uncertainties in the closure models of the Reynolds-Averaged Navier-Stokes (RANS) equations, implementing Automatic Mesh Refinement (AMR) to eliminate errors due to grid discretization, and evaluating the potential of adjoint formulations for future application in stability and control predictions. This paper details these methods, highlighting their application to a specific test case, and concludes with a summary of findings and recommendations for future research directions.
2024
AIAA Aviation Forum and Ascend 2024
978-1-62410-716-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1289428
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