An octree-based solution-adaptive Cartesian grid generator and Euler solver for the simulation of three-dimensional inviscid compressible flows

Date

2016-01-01

Author

Kara, Emre
KUTLAR, AHMET İHSAN
Aksel, Mehmet Haluk

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Cartesian grid generation methods are especially designed algorithms to generate automatic grids for complex geometries and to simulate flows around such geometries regardless of the body shape. Cartesian grids are generated by constructing an octree-based data structure for the purpose of connecting the Cartesian cells to each other. Entire algorithm is implemented in object-oriented FORTRAN programming language. Some special Cartesian algorithms, namely, Ray-Casting method and cut-cell adaptation are used around three-dimensional closed bodies. The flow field around the solid body is obtained by employing Euler equations which are discretised by using finite volume method. Validation of the numerical results is accomplished by comparison with the experimentally obtained data from the flow around ONERA M6 wing. Employing the solution adaptation techniques, pressure coefficients and contours of the flow around the wing have verified and captured two shock waves (weak leading edge shock and midchord shock) by the developed grid-generator-with-eULER-solver-for-3D-applications (GeULER3D) code.

Subject Keywords

Cartesian grid generation, Octree data structure, Ray casting method, Cut cell adaptation, Object oriented fortran programming, Euler solver, Computational fluid dynamics

URI

https://hdl.handle.net/11511/56460

Journal

PROGRESS IN COMPUTATIONAL FLUID DYNAMICS

DOI

https://doi.org/10.1504/pcfd.2016.076247

Collections

Department of Mechanical Engineering, Article

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Citation Formats

E. Kara, A. İ. KUTLAR, and M. H. Aksel, “An octree-based solution-adaptive Cartesian grid generator and Euler solver for the simulation of three-dimensional inviscid compressible flows,” PROGRESS IN COMPUTATIONAL FLUID DYNAMICS, pp. 131–145, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56460.