JOURNAL ARTICLE

Implementation of Flow Tripping Capability in the USM3D Unstructured Flow Solver

Abstract

A flow tripping capability is added to an established NASA tetrahedral unstructured parallel Navier-Stokes flow solver, USM3D. The capability is based on prescribing an appropriate profile of turbulence model variables to energize the boundary layer in a plane normal to a specified trip region on the body surface. We demonstrate this approach using the k-epsilon two-equation turbulence model of USM3D. Modification to the solution procedure primarily consists of developing a data structure to identify all unstructured tetrahedral grid cells located in the plane normal to a specified surface trip region and computing a function based on the mean flow solution to specify the modified profile of the turbulence model variables. We leverage this data structure and also show an adjunct approach that is based on enforcing a laminar flow condition on the otherwise fully turbulent flow solution in user-specified region. The latter approach is applied for the solutions obtained using other one-and two-equation turbulence models of USM3D. A key ingredient of the present capability is the use of a graphical user-interface tool PREDISC to define a trip region on the body surface in an existing grid. Verification of the present modifications is demonstrated on three cases, namely, a flat plate, the RAE2822 airfoil, and the DLR F6 wing-fuselage configuration.

Keywords:
Turbulence Fuselage Solver Computer science Grid Unstructured grid Airfoil Laminar flow Turbulence modeling Navier–Stokes equations Computational science Flow (mathematics) Geometry Mechanics Aerospace engineering Mathematics Physics Engineering

Metrics

15
Cited By
1.59
FWCI (Field Weighted Citation Impact)
22
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computational Fluid Dynamics and Aerodynamics
Physical Sciences →  Engineering →  Computational Mechanics
Gas Dynamics and Kinetic Theory
Physical Sciences →  Mathematics →  Applied Mathematics
Fluid Dynamics and Turbulent Flows
Physical Sciences →  Engineering →  Computational Mechanics

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