Sources of error in the graphical analysis of CFD results
Journal of Scientific Computing
An algorithm for tracking fluid particles in numerical simulations of homogeneous turbulence
Journal of Computational Physics
An efficient 3-D visualization technique for finite element models and other coarse volumes
SIGGRAPH '89 Proceedings of the 16th annual conference on Computer graphics and interactive techniques
An analysis of 3D particle path integration algorithms
Journal of Computational Physics
Optimization of Time-Dependent Particle Tracing Using Tetrahedral Decomposition
VIS '95 Proceedings of the 6th conference on Visualization '95
Fast Algorithms for Visualizing Fluid Motion in Steady Flow on Unstructured Grids
VIS '95 Proceedings of the 6th conference on Visualization '95
VIS '92 Proceedings of the 3rd conference on Visualization '92
A 3-D streamline tracking algorithm using dual stream functions
VIS '92 Proceedings of the 3rd conference on Visualization '92
Constructing stream surfaces in steady 3D vector fields
VIS '92 Proceedings of the 3rd conference on Visualization '92
VIS '93 Proceedings of the 4th conference on Visualization '93
Efficient subdivision of finite-element datasets into consistent tetrahedra
VIS '97 Proceedings of the 8th conference on Visualization '97
CFD visualisation: challenges of complex 3D and 4D data fields
International Journal of Computational Fluid Dynamics - CFD 2006 Held at Queens University at Kingston, Ontario, Canada, 1519 July 2006
ACM SIGGRAPH ASIA 2008 courses
Stream surface generation for fluid flow solutions on curvilinear grids
EGVISSYM'01 Proceedings of the 3rd Joint Eurographics - IEEE TCVG conference on Visualization
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One of the most important ways of visualizing fluid flow is the construction of streamlines, which are lines that are everywhere tangential to the local fluid velocity. Stream surfaces are defined as surfaces through which no fluid penetrates. Streamlines can therefore be computed from the intersection of two nonparallel stream surfaces. This paper presents new algorithms for the computation of dual stream functions from Computational Fluid Dynamics data that is defined on an unstructured tetrahedral mesh. These algorithms are compared with standard numerical routines for computing streamlines, and are shown to be quicker and more accurate than techniques involving numerical integration along the streamline.