Simulations of flows around complex and simplified supersonic store geometries at high incidence angles using statistical and scale-resolving turbulence models

Boychev, K., Barakos, G.N. , Steijl, R. and Shaw, S. (2021) Simulations of flows around complex and simplified supersonic store geometries at high incidence angles using statistical and scale-resolving turbulence models. In: AIAA SCITECH 2022 Forum, San Diego, CA & Virtual, 3-7 January 2022, ISBN 9781624106316 (doi: 10.2514/6.2022-1686)

Abstract

Predicting the flowfield around a supersonic store at a high incidence angle is challenging due to the presence of vortices and shocks that interact with each other. The complexity of the problem is further increased by the presence of wing-body and wing-tail junctions giving rise to secondary flows. Given that the flow is turbulent, linear eddy-viscosity turbulence models are unable to account for the secondary flows and are often more dissipative than their non-linear counterparts. The high incidence angle further increases the complexity. This work investigates the effect of grid refinement and turbulence modelling on three store configurations - one with wings and fins, one without fins and wings, and one with wings only. The in-house CFD solver of the University of Glasgow is used to perform simulations at different angles of incidence and roll. Grids consisting of approximately 80 × 106 cells or less were found to be inadequate to capture the flow features. This shows that even if a high-order spatial method is employed, a grid of sufficient density must be used to accurately capture the aerodynamic loads of the store. In addition, grid converged results were difficult to obtain for the full configuration due to the interaction of the wing vortices with the store’s fins. Improved convergence was observed for the simplified store configurations. This further showed that the difficulty in grid convergence is related to the wing vortex interactions with the store’s fins.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Barakos, Professor George and Boychev, Kiril and Steijl, Dr Rene
• Authors: Boychev, K., Barakos, G.N., Steijl, R., and Shaw, S.
• College/School: College of Science and Engineering > School of Engineering
• ISBN: 9781624106316
• Published Online: 29 December 2021
• Copyright Holders: Copyright © 2022 by the authors
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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