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

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Robust evaluation of flow front data for in-plane permeability characterization by radial flow experiments. / Fauster, Ewald; Berg, David C.; May, David et al.
In: Advanced Manufacturing: Polymer and Composites Science, Vol. 4.2018, No. 1, 05.03.2018, p. 24-40.

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@article{27a45411ae87490bbd27cf7656208f6c,
title = "Robust evaluation of flow front data for in-plane permeability characterization by radial flow experiments",
abstract = "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.",
author = "Ewald Fauster and Berg, {David C.} and David May and Yannick Bl{\"o}{\ss}l and Ralf Schledjewski",
year = "2018",
month = mar,
day = "5",
doi = "10.1080/20550340.2018.1439688",
language = "English",
volume = "4.2018",
pages = "24--40",
journal = "Advanced Manufacturing: Polymer and Composites Science",
issn = "2055-0359",
number = "1",

}

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TY - JOUR

T1 - Robust evaluation of flow front data for in-plane permeability characterization by radial flow experiments

AU - Fauster, Ewald

AU - Berg, David C.

AU - May, David

AU - Blößl, Yannick

AU - Schledjewski, Ralf

PY - 2018/3/5

Y1 - 2018/3/5

N2 - 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.

AB - 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.

U2 - 10.1080/20550340.2018.1439688

DO - 10.1080/20550340.2018.1439688

M3 - Article

VL - 4.2018

SP - 24

EP - 40

JO - Advanced Manufacturing: Polymer and Composites Science

JF - Advanced Manufacturing: Polymer and Composites Science

SN - 2055-0359

IS - 1

ER -