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Visualization of time-dependent foam simulation data. / ,

Swansea University Author: ,

Abstract

Research in the field of complex fluids such as polymer solutions, particulate suspensions and foams studies how the flow of fluids with different material parameters changes as a result of various constraints. Surface Evolver, the standard solver software used to generate foam simulations, provides...

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Published: 2013
URI: https://cronfa.swan.ac.uk/Record/cronfa42735
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first_indexed 2018-08-02T18:55:25Z
last_indexed 2018-08-03T10:10:57Z
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spelling 2018-08-02T16:24:30.2738035 v2 42735 2018-08-02 Visualization of time-dependent foam simulation data. ab02fd7f70d47218720a654cf8591efa true false 2018-08-02 Research in the field of complex fluids such as polymer solutions, particulate suspensions and foams studies how the flow of fluids with different material parameters changes as a result of various constraints. Surface Evolver, the standard solver software used to generate foam simulations, provides large, complex, time-dependent data sets with hundreds or thousands of individual bubbles and thousands of time steps. However this software has limited visualization capabilities, and no foam specific visualization software exists. We describe the foam research application area where, we believe, visualization has an important role to play. We present a novel application, called Foam Vis, that provides various techniques for visualization, exploration and analysis of foam simulation data. Foam Vis can visualize individual time steps or produce time-dependent visualizations. It can process a simulation or it can facilitate comparison of several related simulations. We show new features in foam simulation data and new insights into foam behavior discovered using our application. Based on the many research questions that domain experts are able to address, we believe we provide a valuable tool for visualization and analysis of data in the foam research community. EThesis Computer science. 1 1 2013 2013-01-01 COLLEGE NANME COLLEGE CODE Swansea University 2018-08-02T16:24:30.2738035 2018-08-02T16:24:30.2738035 College of Science Computer Science 1 0042735-02082018162517.pdf 10807504.pdf 2018-08-02T16:25:17.8700000 Output 10453808 application/pdf E-Thesis true 2018-08-02T16:25:17.8700000 false
title Visualization of time-dependent foam simulation data.
spellingShingle Visualization of time-dependent foam simulation data.
,
title_short Visualization of time-dependent foam simulation data.
title_full Visualization of time-dependent foam simulation data.
title_fullStr Visualization of time-dependent foam simulation data.
title_full_unstemmed Visualization of time-dependent foam simulation data.
title_sort Visualization of time-dependent foam simulation data.
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hierarchy_parent_title College of Science
department_str Computer Science{{{_:::_}}}College of Science{{{_:::_}}}Computer Science
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description Research in the field of complex fluids such as polymer solutions, particulate suspensions and foams studies how the flow of fluids with different material parameters changes as a result of various constraints. Surface Evolver, the standard solver software used to generate foam simulations, provides large, complex, time-dependent data sets with hundreds or thousands of individual bubbles and thousands of time steps. However this software has limited visualization capabilities, and no foam specific visualization software exists. We describe the foam research application area where, we believe, visualization has an important role to play. We present a novel application, called Foam Vis, that provides various techniques for visualization, exploration and analysis of foam simulation data. Foam Vis can visualize individual time steps or produce time-dependent visualizations. It can process a simulation or it can facilitate comparison of several related simulations. We show new features in foam simulation data and new insights into foam behavior discovered using our application. Based on the many research questions that domain experts are able to address, we believe we provide a valuable tool for visualization and analysis of data in the foam research community.
published_date 2013-01-01T04:35:17Z
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score 10.885502