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Title: Insights from in-situ X-ray computed tomography during axial impregnation of unidirectional fiber beds

Abstract

In-situ X-ray computed tomography during axial impregnation of unidirectional fiber beds is used to study coupled effects of fluid velocity, fiber movement and preferred flow channeling on permeability. Here, in order to interpret the experimental measurements, a new computational tool for predicting axial permeability of very large 2D arrays of non-uniformly packed fibers is developed. The results show that, when the impregnation velocity is high, full saturation is attained behind the flow front and the fibers rearrange into a less uniform configuration with higher permeability. In contrast, when the velocity is low, fluid flows preferentially in the narrowest channels between fibers, yielding unsaturated permeabilities that are lower than those in the saturated state. Lastly, these insights combined with a new computational tool will enable improved prediction of permeability, ultimately for use in optimization of composite manufacturing via liquid impregnation.

Authors:
 [1];  [1]
  1. Univ. of California, Santa Barbara, CA (United States). Materials Dept.
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22); US Department of the Navy, Office of Naval Research (ONR); National Science Foundation (NSF)
OSTI Identifier:
1415628
Grant/Contract Number:
AC02-05CH11231; N00014-13-1-0860; 1144085; DMR 1121053
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Composites. Part A, Applied Science and Manufacturing
Additional Journal Information:
Journal Volume: 107; Journal Issue: C; Journal ID: ISSN 1359-835X
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Permeability; CT analysis; Fiber; Fiber rearrangement

Citation Formats

Larson, Natalie M., and Zok, Frank W. Insights from in-situ X-ray computed tomography during axial impregnation of unidirectional fiber beds. United States: N. p., 2017. Web. doi:10.1016/j.compositesa.2017.12.024.
Larson, Natalie M., & Zok, Frank W. Insights from in-situ X-ray computed tomography during axial impregnation of unidirectional fiber beds. United States. doi:10.1016/j.compositesa.2017.12.024.
Larson, Natalie M., and Zok, Frank W. Wed . "Insights from in-situ X-ray computed tomography during axial impregnation of unidirectional fiber beds". United States. doi:10.1016/j.compositesa.2017.12.024.
@article{osti_1415628,
title = {Insights from in-situ X-ray computed tomography during axial impregnation of unidirectional fiber beds},
author = {Larson, Natalie M. and Zok, Frank W.},
abstractNote = {In-situ X-ray computed tomography during axial impregnation of unidirectional fiber beds is used to study coupled effects of fluid velocity, fiber movement and preferred flow channeling on permeability. Here, in order to interpret the experimental measurements, a new computational tool for predicting axial permeability of very large 2D arrays of non-uniformly packed fibers is developed. The results show that, when the impregnation velocity is high, full saturation is attained behind the flow front and the fibers rearrange into a less uniform configuration with higher permeability. In contrast, when the velocity is low, fluid flows preferentially in the narrowest channels between fibers, yielding unsaturated permeabilities that are lower than those in the saturated state. Lastly, these insights combined with a new computational tool will enable improved prediction of permeability, ultimately for use in optimization of composite manufacturing via liquid impregnation.},
doi = {10.1016/j.compositesa.2017.12.024},
journal = {Composites. Part A, Applied Science and Manufacturing},
number = C,
volume = 107,
place = {United States},
year = {Wed Dec 27 00:00:00 EST 2017},
month = {Wed Dec 27 00:00:00 EST 2017}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on December 27, 2018
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