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Lichten Winner: Modeling Unsteady Aerodynamics in RCAS for High-Speed Rotor Aeroelastic Applications

Angela Buccio, Joseph Schmaus, Loren Ahaus, Matthew Hill, Hong Xin, Bell Textron Inc.

https://doi.org/10.4050/F-0081-2025-0209

Abstract:
Aeroelastic stability prediction is critical to the successful design, development and flight testing of rotorcraft. As configurations reach higher speeds, new challenges in high Mach number unsteady aerodynamic modeling need to be addressed, especially for higher frequency aeroelastic modes with significant coupling. In this paper, Linear Unsteady aerodynamics and Leishman-Beddoes attached flow models are applied and compared to 2D CFD (airfoil) and 3D CFD/CSD (rotor) analysis for operating conditions of interest. The Leishman-Beddoes model demonstrates improved agreement with CFD data. In the 2D assessment, RCAS is used to model a representative airfoil undergoing prescribed pitch and heave oscillations. CFD results are presented to compare each model (Linear Unsteady and Leishman-Beddoes). In the 3D assessment, a full rotor CFD/CSD test case is evaluated for aeroelastic stability and compared to RCAS standalone analysis. The RCAS rotor structural model is coupled with the HELIOS CFD code and a swashplate cyclic pitch input is used to excite a lightly-damped rotor mode. The transient response based on RCASHELIOS is compared to the standalone RCAS internal aerodynamic result for both Linear Unsteady and Leishman- Beddoes unsteady aerodynamics. This study demonstrates that the Leishman-Beddoes model can produce similar stability results to the computationally expensive coupled CFD/CSD approach of RCAS-HELIOS, but at a lower computational cost, even for critical high-speed conditions.


Lichten Winner: Modeling Unsteady Aerodynamics in RCAS for High-Speed Rotor Aeroelastic Applications

  • Presented at Forum 81
  • 17 pages
  • SKU # : F-0081-2025-0209
  • Dynamics

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Lichten Winner: Modeling Unsteady Aerodynamics in RCAS for High-Speed Rotor Aeroelastic Applications

Authors / Details: Angela Buccio, Joseph Schmaus, Loren Ahaus, Matthew Hill, Hong Xin, Bell Textron Inc.