Stochastic modelling of 3D fiber structures imaged with X-ray microtomography
Journal article, 2021
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.
X-ray microtomography
Permeability
Fiber structures
Parameter estimation
Mass transport
Stochastic modelling
Author
Philip Townsend
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
RISE Research Institutes of Sweden
Emanuel Larsson
Lund University
RISE Research Institutes of Sweden
Tomas Karlson
Essity Hygiene and Health AB
S. Hall
Lund Institute of Advanced Neutron and X-ray Science (LINXS)
Lund University
Malin Lundman
Essity Hygiene and Health AB
Per Bergström
Essity Hygiene and Health AB
Charlotta Hanson
Essity Hygiene and Health AB
Chalmers, Chemistry and Chemical Engineering, Chemical Technology
Niklas Lorén
Chalmers, Physics, Nano and Biophysics
RISE Research Institutes of Sweden
Tobias Gebäck
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Aila Särkkä
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Magnus Röding
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
RISE Research Institutes of Sweden
Computational Materials Science
0927-0256 (ISSN)
Vol. 194 110433Subject Categories (SSIF 2011)
Applied Mechanics
Textile, Rubber and Polymeric Materials
Other Physics Topics
DOI
10.1016/j.commatsci.2021.110433