The three-dimensional multi-block advanced grid generation system (3DMAGGS)
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The three-dimensional multi-block advanced grid generation system (3DMAGGS)

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Published by National Aeronautics and Space Administration, Langley Research Center, National Technical Information Service, distributor in Hampton, Va, [Springfield, Va .
Written in English


  • Numerical grid generation (Numerical analysis)

Book details:

Edition Notes

Other titlesThree dimensional multi-block advanced grid generation system (3DMAGGS)
StatementStephen J. Alter, Kenneth J. Weilmuenster.
SeriesNASA technical memorandum -- 108985
ContributionsWeilmuenster, Kenneth J., Langley Research Center.
The Physical Object
Pagination1 v.
ID Numbers
Open LibraryOL17110396M

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Get this from a library! The three-dimensional multi-block advanced grid generation system (3DMAGGS). [Stephen J Alter; Kenneth J Weilmuenster; Langley Research Center.]. How is Three-Dimensional Multiblock Advanced Grid Generation System abbreviated? 3DMAGGS stands for Three-Dimensional Multiblock Advanced Grid Generation System. 3DMAGGS is defined as Three-Dimensional Multiblock Advanced Grid Generation System very rarely. A general three-dimensional grid generation code based on a composite block structure is discussed. The code can operate either as an algebraic generation system or as an elliptic generation system. A general multi-block three-dimensional volume grid generator is presented which is suitable for Multi-disciplinary Design Optimization. The code is timely, robust, highly automated, and written in ANSI "C" for platform independence.

A three-dimensional multi-level multi-block Laplace equation based grid generation method with sliding boundary condition is presented to generate a smooth, orthogonal-to-boundary grid. Laplace equation based method can obtain good smoothness across block interfaces when using ghost points along both sides of the interfaces. The application of AMRFLEX3D to the cases of a three-dimensional, inviscid, supersonic corner flow and of a delta wing at transonic flow conditions is presented. For the latter simulation, both Euler and Navier-Stokes equations are used. Conclusions that can be drawn from experiences with grid refinement investigations are by: 2. Three-dimensional grid generation Surface-grid generation model Hyperbolic grid generation Solving the hosted equations An example More general steady-state equation Multiblock grid generation Website programs Subdirectory: Book/ File Size: 3MB. Halsey, N.D., “ Use of Conformal Mapping in Grid Generation for Complex Three-Dimensional Configurations,” AIAA Journal, Vol. 25, No. 10, , pp. – Sorenson, R.L., “A Computer Program to Generate Two-Dimensional Grids About Airfoils and Other Shapes by the Use of Poisson’s Equation,” NASA TM ,

This constrained grid generation process yields a multi-block grid with blocks sized appropriately for the flow solver and computer configuration. A uniform grid block size provides static load balancing. The approach is well suited for problems that can be addressed by multi-block dynamic grids generated at the start of the flow by: A parametric design system suitable for inclusion in an automatic optimization process is presented. The system makes use of a multi-block structured grid generation system specially designed for the rapid meshing of two-dimensional, quasi-three-dimensional, and three-dimensional single passage as well as multi-passage, multi-row turbomachinery by: The 3DMAGGS Three-Dimensional Multi-block Advanced Grid Generation System is developed at NASA Langley Research Center. Str> CFD> Aer> Shahyar Pirzadeh, NASA Langley Research Center, works on the VGRID tetrahedral element mesh generator and on the TetrUSS package of unstructured grid codes (August 6, ). Tet> CFD> Adv>. In this paper, the fundamental elements of the Deutsche Airbus GmbH’s (DA) interactive mesh generation system INGRID are described. Current enhancements deal with airplane component construction, surface mesh generation, 3D topological considerations, basic 3D block mesh generation algorithms, block mesh implantation and mesh smoothing Author: Klaus Becker, Stefan Rill.