A flow-guided streamline seeding strategy

Verma,; Kao,; Pang,

doi:10.1109/visual.2000.885690

Cited by 98 publications

(74 citation statements)

References 16 publications

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“…In the general case, integral methods suffer from seeding issues, although strategies have been proposed to circumvent this (e.g. [19]). However, none of these approaches is concerned with time-varying data.…”

Section: Particles and Pathletsmentioning

confidence: 99%

Extraction and Visualization of Swirl and Tumble Motion from Engine Simulation Data

Garth¹,

Laramee²,

Tricoche³

et al. 2007

Mathematics and Visualization

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Summary. An optimal combustion process within an engine block is central to the performance of many motorized vehicles. Associated with this process are two important patterns of flow: swirl and tumble motion, which optimize the mixing of fluid within each of an engine's cylinders. Good visualizations are necessary to analyze these in-cylinder flows. The simulation data associated with in-cylinder tumble motion within a gas engine, given on an unstructured, time-varying and adaptive resolution CFD grid, demands robust visualization methods that apply to unsteady flow. We present a range of methods including integral, feature-based, and image-based schemes with the goal of extracting and visualizing these two important patterns of motion. We place a strong emphasis on automatic and semi-automatic methods, including topological analysis, that require little or no user input. We make effective use of animation to visualize the time-dependent simulation data and describe the challenges and some of the implementation measures necessary in an application of the presented methods to unstructured, time-varying and volumetric grids.

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Section: Particles and Pathletsmentioning

confidence: 99%

Extraction and Visualization of Swirl and Tumble Motion from Engine Simulation Data

Garth¹,

Laramee²,

Tricoche³

et al. 2007

Mathematics and Visualization

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“…One means by which to focus on a particular subset, area of interest, or feature of a flow field is via a streamline seeding strategy. In general, three popular streamline seeding strategies are often used: (1) image-based seeding strategies such as that described by Turk and Banks [17] or the evenly spaced-streamline seeding strategy presented by Jobard and Lefer [7], (2) topological or feature-based, seeding strategies such as those presented by Verma et al [21] or Sanna et al [13], or (3) interactive seeding strategies using a streamline seeding rake used by Bryson and Levit [2] or Schultz et al [15]. Our approach falls into the third category-an interactive streamline seeding strategy.…”

Section: Geometric Flow Visualizationmentioning

confidence: 99%

Investigating swirl and tumble flow with a comparison of visualization techniques

Laramee

Weiskopf

Schneider³

et al.

IEEE Visualization 2004

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Figure 1: Visualization of swirl and tumble flow using a combination of direct color-mapping, streamlines, isosurfaces, texture-based flow visualization and slicing. (Left) visualizing swirl flow using 3D streamlines and texture-based flow visualization on an isosurface, (middle-left) a clipping plane is applied to reveal occluded flow structures, (middle-right) an isosurface and 3D streamlines visualize tumble motion, and (right) the addition of texture-based flow visualization on a color-mapped slice. ABSTRACTWe investigate two important, common fluid flow patterns from computational fluid dynamics (CFD) simulations, namely, swirl and tumble motion typical of automotive engines. We study and visualize swirl and tumble flow using three different flow visualization techniques: direct, geometric, and texture-based. When illustrating these methods side-by-side, we describe the relative strengths and weaknesses of each approach within a specific spatial dimension and across multiple spatial dimensions typical of an engineer's analysis. Our study is focused on steady-state flow. Based on this investigation we offer perspectives on where and when these techniques are best applied in order to visualize the behavior of swirl and tumble motion.

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“…This approach produces visualizations that best reflect the topology of the field but does not impose any constraints on the density or on the length of the lines. Moreover, the authors choose a random method to choose the seeds after having saturated the vicinity of the critical points [3].…”

Section: Previous Workmentioning

confidence: 99%

PSO-Based Optimization of 2D Streamline Placement

2017

International Journal of Research Studies in Computer Science a

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A flow-guided streamline seeding strategy

Cited by 98 publications

References 16 publications

Extraction and Visualization of Swirl and Tumble Motion from Engine Simulation Data

Extraction and Visualization of Swirl and Tumble Motion from Engine Simulation Data

Investigating swirl and tumble flow with a comparison of visualization techniques

PSO-Based Optimization of 2D Streamline Placement

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