Investigation of mixed element hybrid grid-based CFD methods for rotorcraft flow analysis
Whitehouse, Glen R. and Boschitsch, Alexander H. and Smith, Marlyn J. and Lynch, C. Eric and Brown, Richard (2010) Investigation of mixed element hybrid grid-based CFD methods for rotorcraft flow analysis. In: 66th American Helicopter Society Forum: Rising to New Heights in Vertical Lift Technology, 2010-05-11 - 2010-05-13.
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Abstract
Accurate first-principles flow prediction is essential to the design and development of rotorcraft, and while current numerical analysis tools can, in theory, model the complete flow field, in practice the accuracy of these tools is limited by various inherent numerical deficiencies. An approach that combines the first-principles physical modeling capability of CFD schemes with the vortex preservation capabilities of Lagrangian vortex methods has been developed recently that controls the numerical diffusion of the rotor wake in a grid-based solver by employing a vorticity-velocity, rather than primitive variable, formulation. Coupling strategies, including variable exchange protocols are evaluated using several unstructured, structured, and Cartesian-grid Reynolds Averaged Navier-Stokes (RANS)/Euler CFD solvers. Results obtained with the hybrid grid-based solvers illustrate the capability of this hybrid method to resolve vortex-dominated flow fields with lower cell counts than pure RANS/Euler methods.
ORCID iDs
Whitehouse, Glen R., Boschitsch, Alexander H., Smith, Marlyn J., Lynch, C. Eric and Brown, Richard ORCID: https://orcid.org/0000-0003-2754-5871;-
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Item type: Conference or Workshop Item(Paper) ID code: 27363 Dates: DateEvent11 May 2010PublishedSubjects: Technology > Mechanical engineering and machinery
Technology > Motor vehicles. Aeronautics. AstronauticsDepartment: Faculty of Engineering > Mechanical and Aerospace Engineering Depositing user: Ms Katrina May Date deposited: 10 Sep 2010 11:40 Last modified: 28 Oct 2024 01:50 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/27363