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Stochastic modelling of 3D fiber structures imaged with X-ray microtomography

Townsend, Philip ; Larsson, Emanuel LU ; Karlson, Tomas ; Hall, Stephen A. LU ; Lundman, Malin ; Bergström, Per ; Hanson, Charlotta ; Lorén, Niklas ; Gebäck, Tobias and Särkkä, Aila , et al. (2021) In Computational Materials Science 194.
Abstract

Many products incorporate into their design fibrous material with particular levels of permeability as a way to control the retention and flow of liquid. The production and experimental testing of these materials can be expensive and time consuming, particularly if it needs to be optimised to a desired level of absorbency. We consider a parametric virtual fiber model as a replacement for the real material to facilitate studying the relationship between structure and properties in a cheaper and more convenient manner. 3D image data sets of a sample fibrous material are obtained using X-ray microtomography and the individual fibers isolated. The segmented fibers are used to estimate the parameters of a 3D stochastic model for generating... (More)

Many products incorporate into their design fibrous material with particular levels of permeability as a way to control the retention and flow of liquid. The production and experimental testing of these materials can be expensive and time consuming, particularly if it needs to be optimised to a desired level of absorbency. We consider a parametric virtual fiber model as a replacement for the real material to facilitate studying the relationship between structure and properties in a cheaper and more convenient manner. 3D image data sets of a sample fibrous material are obtained using X-ray microtomography and the individual fibers isolated. The segmented fibers are used to estimate the parameters of a 3D stochastic model for generating softcore virtual fiber structures. We use several spatial measures to show the consistency between the real and virtual structures, and demonstrate with lattice Boltzmann simulations that our virtual structure has good agreement with respect to the permeability of the physical material.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Fiber structures, Mass transport, Parameter estimation, Permeability, Stochastic modelling, X-ray microtomography
in
Computational Materials Science
volume
194
article number
110433
publisher
Elsevier
external identifiers
  • scopus:85103693432
ISSN
0927-0256
DOI
10.1016/j.commatsci.2021.110433
language
English
LU publication?
yes
additional info
Funding Information: This work was financially supported by Vinnova (project number 2018–00424) as part of the CoSiMa project, as well as by the Swedish Research Council (VR 2018-03986) and by the Swedish Foundation for Strategic Research (SSF AM13-0066). The authors would like to thank Claudia Redenbach and Katja Schladitz of the Technical University of Kaiserslautern and the Fraunhofer Institute for Industrial Mathematics for their hospitality and informative discussions during a research visit to Kaiserslautern. We are also very grateful for the valuable comments given by the anonymous reviewers. Funding Information: This work was financially supported by Vinnova (project number 2018?00424) as part of the CoSiMa project, as well as by the Swedish Research Council (VR 2018-03986) and by the Swedish Foundation for Strategic Research (SSF AM13-0066). The authors would like to thank Claudia Redenbach and Katja Schladitz of the Technical University of Kaiserslautern and the Fraunhofer Institute for Industrial Mathematics for their hospitality and informative discussions during a research visit to Kaiserslautern. We are also very grateful for the valuable comments given by the anonymous reviewers. Publisher Copyright: © 2021 The Author(s) Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
id
91e9f8d6-abaf-403e-b260-ac8a52261012
date added to LUP
2021-04-19 01:22:48
date last changed
2022-10-31 21:34:49
@article{91e9f8d6-abaf-403e-b260-ac8a52261012,
  abstract     = {{<p>Many products incorporate into their design fibrous material with particular levels of permeability as a way to control the retention and flow of liquid. The production and experimental testing of these materials can be expensive and time consuming, particularly if it needs to be optimised to a desired level of absorbency. We consider a parametric virtual fiber model as a replacement for the real material to facilitate studying the relationship between structure and properties in a cheaper and more convenient manner. 3D image data sets of a sample fibrous material are obtained using X-ray microtomography and the individual fibers isolated. The segmented fibers are used to estimate the parameters of a 3D stochastic model for generating softcore virtual fiber structures. We use several spatial measures to show the consistency between the real and virtual structures, and demonstrate with lattice Boltzmann simulations that our virtual structure has good agreement with respect to the permeability of the physical material.</p>}},
  author       = {{Townsend, Philip and Larsson, Emanuel and Karlson, Tomas and Hall, Stephen A. and Lundman, Malin and Bergström, Per and Hanson, Charlotta and Lorén, Niklas and Gebäck, Tobias and Särkkä, Aila and Röding, Magnus}},
  issn         = {{0927-0256}},
  keywords     = {{Fiber structures; Mass transport; Parameter estimation; Permeability; Stochastic modelling; X-ray microtomography}},
  language     = {{eng}},
  month        = {{06}},
  publisher    = {{Elsevier}},
  series       = {{Computational Materials Science}},
  title        = {{Stochastic modelling of 3D fiber structures imaged with X-ray microtomography}},
  url          = {{http://dx.doi.org/10.1016/j.commatsci.2021.110433}},
  doi          = {{10.1016/j.commatsci.2021.110433}},
  volume       = {{194}},
  year         = {{2021}},
}