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...

Full description

Bibliographic Details
Main Authors: Ewald Fauster, David C. Berg, David May, Yannick Blößl, Ralf Schledjewski
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Advanced Manufacturing: Polymer & Composites Science
Subjects:
Online Access:http://dx.doi.org/10.1080/20550340.2018.1439688
id doaj-6f83d366f90743708b332271bd0e1651
record_format Article
spelling 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