99 Search Results for "Hagen, Hans"


Volume

OASIcs, Volume 27

Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011

VLUDS 2011, June 10-11, 2011, Kaiserslautern, Germany

Editors: Christoph Garth, Ariane Middel, and Hans Hagen

Volume

Dagstuhl Follow-Ups, Volume 2

Scientific Visualization: Interactions, Features, Metaphors

Editors: Hans Hagen

Volume

OASIcs, Volume 19

Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)

VLUDS 2010, March 19-21, 2010, Bodega Bay, U.S.

Editors: Ariane Middel, Inga Scheler, and Hans Hagen

Volume

Dagstuhl Follow-Ups, Volume 1

Scientific Visualization: Advanced Concepts

Editors: Hans Hagen

Document
Interactive Quality Inspection of Measured Deviations in Sheet Metal Assemblies

Authors: Felix Claus, Hans Hagen, Viktor Leonhardt, Heike Leitte, and Bernd Hamann

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
We present an exploratory data analysis approach for finite element (FE) simulations to interactively inspect measured deviations in sheet metals arising in automotive applications. Exterior car body parts consist of large visible surfaces, and strict tolerances must be met by them to satisfy both aesthetic requirements and quality performance requirements. To fulfill quality requirements like gap and flushness, exterior vehicle components have adjustable mechanical boundaries. These boundaries are used to influence the shape and position of a sheet metal part relative to its chassis. We introduce a method that supports an inspection engineer with an interactive framework that makes possible a detailed analysis of measured sheet metal deviation fields generated from 3D scans. An engineer can interactively change boundary conditions and obtains the resulting deviation field in real-time. Thus, it is possible to determine viable and desirable adjustments efficiently, leading to time and cost savings in the assembly process.

Cite as

Felix Claus, Hans Hagen, Viktor Leonhardt, Heike Leitte, and Bernd Hamann. Interactive Quality Inspection of Measured Deviations in Sheet Metal Assemblies. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 6:1-6:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{claus_et_al:OASIcs.iPMVM.2020.6,
  author =	{Claus, Felix and Hagen, Hans and Leonhardt, Viktor and Leitte, Heike and Hamann, Bernd},
  title =	{{Interactive Quality Inspection of Measured Deviations in Sheet Metal Assemblies}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{6:1--6:18},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.6},
  URN =		{urn:nbn:de:0030-drops-137554},
  doi =		{10.4230/OASIcs.iPMVM.2020.6},
  annote =	{Keywords: Data Analysis, Interactive Inspection, 3D-Metrology, Finite Element Simulation}
}
Document
Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles

Authors: Patrick Ruediger, Christoph Garth, Hans Hagen, and Heike Leitte

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
We provide an evaluation of the applicability of video compression techniques for compressing visualization image databases that are often used for in situ visualization. Considering relevant practical implementation aspects, we identify relevant compression parameters, and evaluate video compression for several test cases, involving several data sets and visualization methods; we use three different video codecs. To quantify the benefits and drawbacks of video compression, we employ metrics for image quality, compression rate, and performance. The experiments discussed provide insight into good choices of parameter values, working well in the considered cases.

Cite as

Patrick Ruediger, Christoph Garth, Hans Hagen, and Heike Leitte. Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 10:1-10:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{ruediger_et_al:OASIcs.iPMVM.2020.10,
  author =	{Ruediger, Patrick and Garth, Christoph and Hagen, Hans and Leitte, Heike},
  title =	{{Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{10:1--10:18},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.10},
  URN =		{urn:nbn:de:0030-drops-137591},
  doi =		{10.4230/OASIcs.iPMVM.2020.10},
  annote =	{Keywords: Image Database, CinemaDB, Video Compression, Evaluation, Benchmark, In-situ}
}
Document
Decision-Making Modeling and Solutions for Smart Semiconductor Manufacturing (Dagstuhl Seminar 20452)

Authors: Chen-Fu Chien, Hans Ehm, John W. Fowler, and Lars Mönch

Published in: Dagstuhl Reports, Volume 10, Issue 5 (2021)


Abstract
In November 2020 the Dagstuhl Seminar 20452 explored the needs of the semiconductor industry for making smart semiconductor manufacturing decisions and the information systems to empower flexible decisions for smart production. The seminar participants also spent time identifying the core elements for a simulation testbed which allows for assessing smart planning and control decisions in the semiconductor industry. This Executive Summary describes the process of the seminar and discusses key findings and areas for future research regarding these topics. Abstracts of presentations given during the seminar and the output of breakout sessions are collected in appendices.

Cite as

Chen-Fu Chien, Hans Ehm, John W. Fowler, and Lars Mönch. Decision-Making Modeling and Solutions for Smart Semiconductor Manufacturing (Dagstuhl Seminar 20452). In Dagstuhl Reports, Volume 10, Issue 5, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@Article{chien_et_al:DagRep.10.5.1,
  author =	{Chien, Chen-Fu and Ehm, Hans and Fowler, John W. and M\"{o}nch, Lars},
  title =	{{Decision-Making Modeling and Solutions for Smart Semiconductor Manufacturing (Dagstuhl Seminar 20452)}},
  pages =	{1--18},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2021},
  volume =	{10},
  number =	{5},
  editor =	{Chien, Chen-Fu and Ehm, Hans and Fowler, John W. and M\"{o}nch, Lars},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.10.5.1},
  URN =		{urn:nbn:de:0030-drops-137410},
  doi =		{10.4230/DagRep.10.5.1},
  annote =	{Keywords: Modeling, Simulation, Smart Manufacturing, Analytics, Semiconductor Manufacturing}
}
Document
Complete Volume
OASIcs, Volume 27, VLUDS'11, Complete Volume

Authors: Christoph Garth, Ariane Middel, and Hans Hagen

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011


Abstract
OASIcs, Volume 27, VLUDS'11, Complete Volume

Cite as

Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)


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@Proceedings{garth_et_al:OASIcs.VLUDS.2011,
  title =	{{OASIcs, Volume 27, VLUDS'11, Complete Volume}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011},
  URN =		{urn:nbn:de:0030-drops-40780},
  doi =		{10.4230/OASIcs.VLUDS.2011},
  annote =	{Keywords: Computer Graphics}
}
Document
Front Matter
Frontmatter, Table of Contents, Preface, List of Authors

Authors: Christoph Garth, Ariane Middel, and Hans Hagen

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011


Abstract
Frontmatter, Table of Contents, Preface, List of Authors

Cite as

Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, pp. i-xi, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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@InProceedings{garth_et_al:OASIcs.VLUDS.2011.i,
  author =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  title =	{{Frontmatter, Table of Contents, Preface, List of Authors}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  pages =	{i--xi},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011.i},
  URN =		{urn:nbn:de:0030-drops-37365},
  doi =		{10.4230/OASIcs.VLUDS.2011.i},
  annote =	{Keywords: Frontmatter, Table of Contents, Preface, List of Authors}
}
Document
Virtual Reality supported Visualization and Evaluation of Noise Levels in Manufacturing Environments

Authors: Xiang Yang, Bernd Hamann, and Jan C. Aurich

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011


Abstract
Virtual Reality (VR) provides users advanced visualization and interaction technology for designing, analyzing and exploring complex data. To address the issue of noise in manufacturing environments, we developed a VR-supported method allowing users to explore noise behavior. This method consists of an implementation of acoustic simulation and visualization for both desktop and Cave Automatic Virtual Environment (CAVE) based VR systems. It enables user-oriented, interactive analysis of simulated data, where there capability to immerse oneself in the data is especially valuable. In a real-world factory, the acoustic measurements obtained essential input data for simulation settings and validation data for simulation results. Furthermore, some political and legal aspects are addressed to enhance the evaluation of results and the visualization. By using the implemented software tool, users are able to understand and investigate the noise issue in manufacturing straightforwardly.

Cite as

Xiang Yang, Bernd Hamann, and Jan C. Aurich. Virtual Reality supported Visualization and Evaluation of Noise Levels in Manufacturing Environments. In Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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@InProceedings{yang_et_al:OASIcs.VLUDS.2011.1,
  author =	{Yang, Xiang and Hamann, Bernd and Aurich, Jan C.},
  title =	{{Virtual Reality supported Visualization and Evaluation of Noise Levels in Manufacturing Environments}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  pages =	{1--12},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011.1},
  URN =		{urn:nbn:de:0030-drops-37370},
  doi =		{10.4230/OASIcs.VLUDS.2011.1},
  annote =	{Keywords: virtual reality, acoustic simulation, visualization, manufacturing}
}
Document
Spherical Terrain Rendering using the hierarchical HEALPix grid

Authors: Rolf Westerteiger, Andreas Gerndt, and Bernd Hamann

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011


Abstract
We present an interactive spherical terrain rendering system employing a hierarchical subdivision of the HEALPix coordinate system using quadtrees. Compared to other parameterizations, the scheme avoids singularities and allows for efficient fusion of mixed-resolution digital elevation models and imagery. A Level-of-Detail heuristic is used to guarantee both high performance and visual fidelity. Unified treatment of DEM and imagery data is achieved by performing the HEALPix projection within a GPU shader. The system is applied to the exploration of Mars, using both MOLA (NASA) and HRSC (German Aerospace Center) data sets.

Cite as

Rolf Westerteiger, Andreas Gerndt, and Bernd Hamann. Spherical Terrain Rendering using the hierarchical HEALPix grid. In Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, pp. 13-23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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@InProceedings{westerteiger_et_al:OASIcs.VLUDS.2011.13,
  author =	{Westerteiger, Rolf and Gerndt, Andreas and Hamann, Bernd},
  title =	{{Spherical Terrain Rendering using the hierarchical HEALPix grid}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  pages =	{13--23},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011.13},
  URN =		{urn:nbn:de:0030-drops-37389},
  doi =		{10.4230/OASIcs.VLUDS.2011.13},
  annote =	{Keywords: terrain rendering}
}
Document
Visualization and Evolution of Software Architectures

Authors: Taimur Khan, Henning Barthel, Achim Ebert, and Peter Liggesmeyer

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011


Abstract
Software systems are an integral component of our everyday life as we find them in tools and embedded in equipment all around us. In order to ensure smooth, predictable, and accurate operation of these systems, it is crucial to produce and maintain systems that are highly reliable. A well-designed and well-maintained architecture goes a long way in achieving this goal. However, due to the intangible and often complex nature of software architecture, this task can be quite complicated. The field of software architecture visualization aims to ease this task by providing tools and techniques to examine the hierarchy, relationship, evolution, and quality of architecture components. In this paper, we present a discourse on the state of the art of software architecture visualization techniques. Further, we highlight the importance of developing solutions tailored to meet the needs and requirements of the stakeholders involved in the analysis process.

Cite as

Taimur Khan, Henning Barthel, Achim Ebert, and Peter Liggesmeyer. Visualization and Evolution of Software Architectures. In Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, pp. 25-42, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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@InProceedings{khan_et_al:OASIcs.VLUDS.2011.25,
  author =	{Khan, Taimur and Barthel, Henning and Ebert, Achim and Liggesmeyer, Peter},
  title =	{{Visualization and Evolution of Software Architectures}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  pages =	{25--42},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011.25},
  URN =		{urn:nbn:de:0030-drops-37390},
  doi =		{10.4230/OASIcs.VLUDS.2011.25},
  annote =	{Keywords: Software architecture visualization, software comprehension, software maintenance, software evolution, human perception}
}
Document
Improving Safety-Critical Systems by Visual Analysis

Authors: Yi Yang, Patric Keller, Yarden Livnat, and Peter Liggesmeyer

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011


Abstract
The importance analysis provides a means of analyzing the contribution of potential low-level system failures to identify and assess vulnerabilities of safety-critical systems. Common approaches attempt to enhance the system safety by addressing vulnerabilities using an iterative analysis process, while considering relevant constraints, e.g., cost, for optimizing the improvements. Typically, data regarding the analysis process is presented across several views with few interactive associations among them. Consequently, this hampers the identification of meaningful information supporting the decision making process. In this paper, we propose a visualization system that visually supports engineers in identifying proper solutions. The visualization integrates a decision tree with a plot representing the cause-effect relationship between the improvement ideas of vulnerabilities and the resulting risk reduction of system. Associating a component fault tree view with the plot allows to maintain helpful context information. The introduced visualization approach enables system and safety engineers to identify and analyze optimal solutions facilitating the improvement of the overall system safety.

Cite as

Yi Yang, Patric Keller, Yarden Livnat, and Peter Liggesmeyer. Improving Safety-Critical Systems by Visual Analysis. In Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, pp. 43-58, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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@InProceedings{yang_et_al:OASIcs.VLUDS.2011.43,
  author =	{Yang, Yi and Keller, Patric and Livnat, Yarden and Liggesmeyer, Peter},
  title =	{{Improving Safety-Critical Systems by Visual Analysis}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  pages =	{43--58},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011.43},
  URN =		{urn:nbn:de:0030-drops-37406},
  doi =		{10.4230/OASIcs.VLUDS.2011.43},
  annote =	{Keywords: fault tree analysis, importance and sensitivity analysis, information vi- sualization, decision tree, safety analysis}
}
Document
CFD Simulation of Liquid-Liquid Extraction Columns and Visualization of Eulerian Datasets

Authors: Mark W. Hlawitschka, Fang Chen, Hans-Jörg Bart, and Bernd Hamann

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011


Abstract
In this joint work, a complete framework for modeling, simulating and visualizing multiphase fluid flow within an extraction column is presented. We first present a volume-of-fluid simulation, which is able to predict the surface of the droplets during coalescence. However, a fast and efficient model is needed for the simulation of a liquid-liquid extraction column due to the high number of occurring droplets. To simulate the velocity and droplet size in a DN32 extraction column, a coupled computational fluid dynamic-population balance model solver is used. The simulation is analyzed using path-line based visualization techniques. A novel semi-automatic re-seeding technique for droplet path-line integration is proposed. With our technique, path-lines of fluid droplets can be re-initialized after contact with the stirring devices. The droplet breakage is captured, allowing the engineer to improve the design of liquid-liquid columns layout.

Cite as

Mark W. Hlawitschka, Fang Chen, Hans-Jörg Bart, and Bernd Hamann. CFD Simulation of Liquid-Liquid Extraction Columns and Visualization of Eulerian Datasets. In Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, pp. 59-70, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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@InProceedings{hlawitschka_et_al:OASIcs.VLUDS.2011.59,
  author =	{Hlawitschka, Mark W. and Chen, Fang and Bart, Hans-J\"{o}rg and Hamann, Bernd},
  title =	{{CFD Simulation of Liquid-Liquid Extraction Columns and Visualization of Eulerian Datasets}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  pages =	{59--70},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011.59},
  URN =		{urn:nbn:de:0030-drops-37410},
  doi =		{10.4230/OASIcs.VLUDS.2011.59},
  annote =	{Keywords: computational fluid dynamics, multiphase fluid, droplet collision, Eule- rian, path-line}
}
Document
Feature-based Visualization of Dense Integral Line Data

Authors: Simon Schröder, Harald Obermaier, Christoph Garth, and Kenneth I. Joy

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011


Abstract
Feature-based visualization of flow fields has proven as an effective tool for flow analysis. While most flow visualization techniques operate on vector field data, our visualization techniques make use of a different simulation output: Particle Tracers. Our approach solely relies on integral lines that can be easily obtained from most simulation software. The task is the visualization of dense integral line data. We combine existing methods for streamline visualization, i.e. illumination, transparency, and halos, and add ambient occlusion for lines. But, this only solves one part of the problem: because of the high density of lines, visualization has to fight with occlusion, high frequency noise, and overlaps. As a solution we propose non-automated choices of transfer functions on curve properties that help highlighting important flow features like vortices or turbulent areas. These curve properties resemble some of the original flow properties. With the new combination of existing line drawing methods and the addition of ambient occlusion we improve the visualization of lines by adding better shape and depth cues. The intelligent use of transfer functions on curve properties reduces visual clutter and helps focusing on important features while still retaining context, as demonstrated in the examples given in this work.

Cite as

Simon Schröder, Harald Obermaier, Christoph Garth, and Kenneth I. Joy. Feature-based Visualization of Dense Integral Line Data. In Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, pp. 71-87, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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@InProceedings{schroder_et_al:OASIcs.VLUDS.2011.71,
  author =	{Schr\"{o}der, Simon and Obermaier, Harald and Garth, Christoph and Joy, Kenneth I.},
  title =	{{Feature-based Visualization of Dense Integral Line Data}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  pages =	{71--87},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011.71},
  URN =		{urn:nbn:de:0030-drops-37424},
  doi =		{10.4230/OASIcs.VLUDS.2011.71},
  annote =	{Keywords: flow simulation, feature-based visualization, dense lines, ambient occlusion}
}
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