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Grid generation for aerospace applications.
| Content Provider | CiteSeerX |
|---|---|
| Author | Mathur, J. S. |
| Abstract | Computational Fluid Dynamics is beginning to play a major role in the design of aerospace vehicles. Recent advances in numerical algorithms and the development of high speed computers have made it possible to computeflows past practical configurations. Grid genera-tion is the first step in such a computation andfor a geometrically complex three-dimensional configuration this may require significantly more time and effort than the flow analysis. Grid generation is therefore a major area of research and development, with the emphasis on creating tools which make the entire process faster. Various grid generation techniques have been developed for complex configurations. Multi-block structured grids are the most popular, but the use of unstructured and Cartesian gridsis rapidly increasing. The grid generation method adopted usually depends on the available flow solver code. No single method is superior in all respects, each method having its own advantages and disadvantages. Grid adaptation is beginning to be recognised as an important procedure inflow computation. This allows grid points to be concentrated in those regions it-here higher numerical accuracy is required, since it is computationally expensive and often impractical to rise an excessively fine grid in the entire computational domain. This paper broadly discusses the various grid generation techniques available and their relative advantagesldisadvantages. It then discusses the grid generation methods used by the author and his colleagues for simulating the flow past various aerospace geometries like airfoils, wings, multi-body launch vehicles and aircraft configurations. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Grid Generation Aerospace Application Grid Generation Method Various Grid Generation Technique Multi-block Structured Grid Various Aerospace Geometry Important Procedure Inflow Computation High Speed Computer Grid Point Multi-body Launch Vehicle Complex Three-dimensional Configuration Grid Genera-tion Relative Advantagesldisadvantages Aircraft Configuration Complex Configuration Flow Analysis Recent Advance Major Area Grid Generation Numerical Accuracy Entire Process First Step Computational Fluid Dynamic Available Flow Solver Code Aerospace Vehicle Past Practical Configuration Grid Adaptation Fine Grid Single Method Numerical Algorithm Cartesian Gridsis Major Role Entire Computational Domain |
| Content Type | Text |
| Resource Type | Article |
