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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Online Access: | http://dx.doi.org/10.1080/20550340.2018.1439688 |
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doaj-6f83d366f90743708b332271bd0e16512020-11-25T02:33:37ZengTaylor & Francis GroupAdvanced Manufacturing: Polymer & Composites Science2055-03402055-03592018-01-0141244010.1080/20550340.2018.14396881439688Robust evaluation of flow front data for in-plane permeability characterization by radial flow experimentsEwald Fauster0David C. Berg1David May2Yannick Blößl3Ralf Schledjewski4Montanuniversität LeobenClausthal University of TechnologyInstitut für Verbundwerkstoffe GmbHMontanuniversität LeobenMontanuniversität LeobenA 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.http://dx.doi.org/10.1080/20550340.2018.1439688Liquid composite moldingin-plane permeability characterizationradial flow experimentsgeometry model fitting |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ewald Fauster David C. Berg David May Yannick Blößl Ralf Schledjewski |
spellingShingle |
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 Advanced Manufacturing: Polymer & Composites Science Liquid composite molding in-plane permeability characterization radial flow experiments geometry model fitting |
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 |
series |
Advanced Manufacturing: Polymer & Composites Science |
issn |
2055-0340 2055-0359 |
publishDate |
2018-01-01 |
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. |
topic |
Liquid composite molding in-plane permeability characterization radial flow experiments geometry model fitting |
url |
http://dx.doi.org/10.1080/20550340.2018.1439688 |
work_keys_str_mv |
AT ewaldfauster robustevaluationofflowfrontdataforinplanepermeabilitycharacterizationbyradialflowexperiments AT davidcberg robustevaluationofflowfrontdataforinplanepermeabilitycharacterizationbyradialflowexperiments AT davidmay robustevaluationofflowfrontdataforinplanepermeabilitycharacterizationbyradialflowexperiments AT yannickbloßl robustevaluationofflowfrontdataforinplanepermeabilitycharacterizationbyradialflowexperiments AT ralfschledjewski robustevaluationofflowfrontdataforinplanepermeabilitycharacterizationbyradialflowexperiments |
_version_ |
1724812700109766656 |