Investigating swirl and tumble flow with a comparison of visualization techniques

Laramee, Robert S.; Weiskopf, Daniel; Schneider, Jürgen; Hauser, Helwig

doi:10.1109/visual.2004.59

Cited by 59 publications

(60 citation statements)

References 21 publications

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“…Figure 3 (swirl, right image) provides an example, showing a very strong vortex near the inlet that is drawing away energy from the creation of the ideal swirl pattern. We refer the reader to previous work [9] for other applications of texture-based techniques in this problem context that we believe will benefit strongly from a pairing with a feature-based visualization.…”

Section: Sparse and Dense Methodsmentioning

confidence: 99%

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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: Sparse and Dense Methodsmentioning

confidence: 99%

“…Laramee et al [9] took preliminary steps towards the visualization and analysis of in-cylinder flow. Using a combination of texture-based and geometric techniques, they were able to indirectly visualize the key swirl and tumble patterns in two engine simulation datasets.…”

Section: Introductionmentioning

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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“…Swirl motion, an ideal flow pattern strived for in a diesel engine [23], resembles a helix spiral about an imaginary axis aligned with the combustion chamber as illustrated in Fig. 12.…”

Section: In-cylinder Flow Inside a Diesel Enginementioning

confidence: 99%

“…Achieving this ideal motion results in an optimal mixing of air and fuel and, thus, a more efficient combustion process. A number of vector field visualization techniques have been applied to a simulated flow inside the diesel engine [23], [11], [4]. These techniques include arrow plots, color-coding velocity, textures, streamlines, vector field topology, and tracing particles.…”

Section: In-cylinder Flow Inside a Diesel Enginementioning

confidence: 99%

Asymmetric Tensor Analysis for Flow Visualization

Zhang

Yeh

Lin

et al. 2009

IEEE Trans. Visual. Comput. Graphics

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Abstract-The gradient of a velocity vector field is an asymmetric tensor field which can provide critical insight that is difficult to infer from traditional trajectory-based vector field visualization techniques. We describe the structures in the eigenvalue and eigenvector fields of the gradient tensor and how these structures can be used to infer the behaviors of the velocity field that can represent either a 2D compressible flow or the projection of a 3D compressible or incompressible flow onto a 2D manifold. To illustrate the structures in asymmetric tensor fields, we introduce the notions of eigenvalue manifold and eigenvector manifold. These concepts afford a number of theoretical results that clarify the connections between symmetric and antisymmetric components in tensor fields. In addition, these manifolds naturally lead to partitions of tensor fields, which we use to design effective visualization strategies. Moreover, we extend eigenvectors continuously into the complex domains which we refer to as pseudoeigenvectors. We make use of evenly spaced tensor lines following pseudoeigenvectors to illustrate the local linearization of tensors everywhere inside complex domains simultaneously. Both eigenvalue manifold and eigenvector manifold are supported by a tensor reparameterization with physical meaning. This allows us to relate our tensor analysis to physical quantities such as rotation, angular deformation, and dilation, which provide a physical interpretation of our tensor-driven vector field analysis in the context of fluid mechanics. To demonstrate the utility of our approach, we have applied our visualization techniques and interpretation to the study of the Sullivan Vortex as well as computational fluid dynamics simulation data.

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“…For example, we implemented a streamline tracing algorithm on boundary meshes from CFD [3,9] (as in Figure 1). This type of algorithm poses challenges because the meshes are unstructured and adaptive resolution.…”

Section: Visualize Tests and Comparisonsmentioning

confidence: 99%

Using Visualization to Debug Visualization Software

Laramee

2010

IEEE Comput. Grap. Appl.

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Developing visualization applications is non-trivial and poses special challenges. This is due to the fact that typical visualization software processes a large amount of data resulting in large and sometimes very complex data structures. Traditional tools for debugging are of limited use because they de-couple the information they report from the spatio-temporal domain in which unexpected problems occur. We present a set of guidelines targeted specifically at debugging visualization software. The guidelines are inspired by experience in developing applications in both industry and research. Specific examples where the guidelines are applied are given throughout. In general, the key is to exploit the strengths of computer graphics and visualization itself in combination with some more well-known good practices.

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Investigating swirl and tumble flow with a comparison of visualization techniques

Cited by 59 publications

References 21 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

Asymmetric Tensor Analysis for Flow Visualization

Using Visualization to Debug Visualization Software

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