Robust evaluation of flow front data for in-plane permeability characterization by radial flow experiments

A novel approach is presented for modeling the temporally advancing fluid flow front in radial flow experiments for in-plane permeability characterization of reinforcing fabrics. The method is based on fitting an elliptic paraboloid to the flow front data collected throughout such an experiment. Thi...

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Autores principales: Ewald Fauster, David C. Berg, David May, Yannick Blößl, Ralf Schledjewski
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Lenguaje:EN
Publicado: Taylor & Francis Group 2018
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Acceso en línea:https://doaj.org/article/6f83d366f90743708b332271bd0e1651
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spelling oai:doaj.org-article:6f83d366f90743708b332271bd0e16512021-12-02T11:22:50ZRobust evaluation of flow front data for in-plane permeability characterization by radial flow experiments2055-03402055-035910.1080/20550340.2018.1439688https://doaj.org/article/6f83d366f90743708b332271bd0e16512018-01-01T00:00:00Zhttp://dx.doi.org/10.1080/20550340.2018.1439688https://doaj.org/toc/2055-0340https://doaj.org/toc/2055-0359A novel approach is presented for modeling the temporally advancing fluid flow front in radial flow experiments for in-plane permeability characterization of reinforcing fabrics. The method is based on fitting an elliptic paraboloid to the flow front data collected throughout such an experiment. This “paraboloid” approach is compared to the conventional “ellipse” method and validated by means of data sets of optically tracked experiments from two different research institutions. A detailed discussion of the results reveals the benefits of the “paraboloid” method in terms of numerical efficiency as well robustness against temporal or local data variations. The “paraboloid” method is tested on temporally and spatially limited data sets from a testrig involving linear capacitive sensors. There, the method shows advantages over the conventional approach as it incorporates the entirety of available measurement data, particularly in the last stages of the experiments which are most characteristic for the material under test.Ewald FausterDavid C. BergDavid MayYannick BlößlRalf SchledjewskiTaylor & Francis GrouparticleLiquid composite moldingin-plane permeability characterizationradial flow experimentsgeometry model fittingPolymers and polymer manufactureTP1080-1185AutomationT59.5ENAdvanced Manufacturing: Polymer & Composites Science, Vol 4, Iss 1, Pp 24-40 (2018)
institution DOAJ
collection DOAJ
language EN
topic Liquid composite molding
in-plane permeability characterization
radial flow experiments
geometry model fitting
Polymers and polymer manufacture
TP1080-1185
Automation
T59.5
spellingShingle Liquid composite molding
in-plane permeability characterization
radial flow experiments
geometry model fitting
Polymers and polymer manufacture
TP1080-1185
Automation
T59.5
Ewald Fauster
David C. Berg
David May
Yannick Blößl
Ralf Schledjewski
Robust evaluation of flow front data for in-plane permeability characterization by radial flow experiments
description A novel approach is presented for modeling the temporally advancing fluid flow front in radial flow experiments for in-plane permeability characterization of reinforcing fabrics. The method is based on fitting an elliptic paraboloid to the flow front data collected throughout such an experiment. This “paraboloid” approach is compared to the conventional “ellipse” method and validated by means of data sets of optically tracked experiments from two different research institutions. A detailed discussion of the results reveals the benefits of the “paraboloid” method in terms of numerical efficiency as well robustness against temporal or local data variations. The “paraboloid” method is tested on temporally and spatially limited data sets from a testrig involving linear capacitive sensors. There, the method shows advantages over the conventional approach as it incorporates the entirety of available measurement data, particularly in the last stages of the experiments which are most characteristic for the material under test.
format article
author Ewald Fauster
David C. Berg
David May
Yannick Blößl
Ralf Schledjewski
author_facet Ewald Fauster
David C. Berg
David May
Yannick Blößl
Ralf Schledjewski
author_sort Ewald Fauster
title Robust evaluation of flow front data for in-plane permeability characterization by radial flow experiments
title_short Robust evaluation of flow front data for in-plane permeability characterization by radial flow experiments
title_full Robust evaluation of flow front data for in-plane permeability characterization by radial flow experiments
title_fullStr Robust evaluation of flow front data for in-plane permeability characterization by radial flow experiments
title_full_unstemmed Robust evaluation of flow front data for in-plane permeability characterization by radial flow experiments
title_sort robust evaluation of flow front data for in-plane permeability characterization by radial flow experiments
publisher Taylor & Francis Group
publishDate 2018
url https://doaj.org/article/6f83d366f90743708b332271bd0e1651
work_keys_str_mv AT ewaldfauster robustevaluationofflowfrontdataforinplanepermeabilitycharacterizationbyradialflowexperiments
AT davidcberg robustevaluationofflowfrontdataforinplanepermeabilitycharacterizationbyradialflowexperiments
AT davidmay robustevaluationofflowfrontdataforinplanepermeabilitycharacterizationbyradialflowexperiments
AT yannickbloßl robustevaluationofflowfrontdataforinplanepermeabilitycharacterizationbyradialflowexperiments
AT ralfschledjewski robustevaluationofflowfrontdataforinplanepermeabilitycharacterizationbyradialflowexperiments
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