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RANS Simulations of the High Lift Common Research Model with Open-Source Code SU2

  • A. Matiz-Chicacausa
  • J. Escobar
  • D. Velasco
  • N. Rojas
  • C. Sedano
Chapter

Abstract

High-lift devices have been used in aviation for several decades as an effective solution to keep takeoff and landing speeds within an acceptable range, while increasing wing loading for faster and more efficient cruising. Accurate prediction of performance of such devices is essential not only for design requirements but also for providing reliable operational speeds to crews and automatic flight systems. In this regard, the chapter presents numerical solutions and analysis of the flow around the so-called High Lift Common Research Model (HL-CRM) as a contribution to the Third High Lift Prediction Workshop. Stanford’s University CFD code SU2 was used to compute a set of solutions on two grids of the family B3 provided by the organizing committee, at \(8^\circ \) and \(16^\circ \) of angle of attack, and Reynolds number of \(3.26\times 10^6\). Results showed good agreement in aerodynamic coefficients when compared to solutions submitted by participants of the workshop. The main features of the flow over the lifting surfaces and in the wake of the wing were also observed and discussed based on theory and results published by other authors.

Notes

Acknowledgements

The authors want to recognize Sabalcore Computing Inc. for providing valuable support and computational resources for running the highly demanding simulations required for the success of the project. The authors also want to acknowledge the IT staff of Universidad de San Buenaventura and Universidad de Los Andes for providing technical support to the HPC systems used for the simulations. The results presented in this chapter are a product of the project CBI E01-001 co-founded by the Faculty of Engineering at Universidad de San Buenaventura and the Department of Mechanical Engineering at Universidad de Los Andes.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • A. Matiz-Chicacausa
    • 1
  • J. Escobar
    • 1
  • D. Velasco
    • 2
  • N. Rojas
    • 2
  • C. Sedano
    • 2
  1. 1.Universidad de San BuenaventuraBogotáColombia
  2. 2.Universidad de Los AndesBogotáColombia

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