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 110433

Subject Categories

Applied Mechanics

Textile, Rubber and Polymeric Materials

Other Physics Topics

DOI

10.1016/j.commatsci.2021.110433

More information

Latest update

5/5/2021 1