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Wicking dynamics in yarns.

Robert Fischer1, Christian M Schlepütz2, Jianlin Zhao3

  • 1Laboratory of Multiscale Studies in Building Physics, Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, 8600 Dübendorf, Switzerland; Laboratory for Biomimetic Membranes and Textiles, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, 9014 St. Gallen, Switzerland; Chair of Building Physics, Swiss Federal Institute of Technology Zurich (ETHZ), Stefano-Franscini-Platz 5, 8093 Zürich, Switzerland.

Journal of Colloid and Interface Science
|June 17, 2022
PubMed
Summary
This summary is machine-generated.

Wicking in yarns shows unusual step-wise water uptake. This dynamic is driven by pore-to-pore transitions and yarn structure, not just fiber pores.

Keywords:
Neutron radiographyPore networkSpontaneous imbibitionTextileWickingX-ray tomographyYarn

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Area of Science:

  • Materials Science
  • Physics of Fluids
  • Textile Engineering

Background:

  • Spontaneous liquid imbibition, or wicking, in porous media like textiles and yarns can exhibit complex behaviors.
  • Existing models often fail to capture the unique wicking dynamics observed in yarns.

Purpose of the Study:

  • To investigate the underlying mechanisms of step-wise wicking dynamics in yarns.
  • To determine the primary factors governing wicking behavior in yarn structures.

Main Methods:

  • Utilized fast X-ray tomographic microscopy to visualize pore-scale processes.
  • Employed neutron radiography for macroscopic water uptake analysis.
  • Developed a semi-empirical pore network model incorporating experimental data.

Main Results:

  • Yarn pore networks are characterized by sparse, long, and narrow pores, leading to step-wise uptake.
  • Wicking involves rapid pore filling (seconds) interspersed with significant waiting times (minutes) during pore navigation.
  • Key wicking events and pore network topology critically influence macroscopic water uptake.

Conclusions:

  • Wicking dynamics in yarns are primarily governed by pore-to-pore transition times and the intricate pore network structure.
  • Accurate modeling requires consideration of waiting times between pore transitions and the overall network topology.
  • Understanding these factors is crucial for explaining and predicting wicking behavior in textile materials.