Due to random orientation of fibres and presence of voids in their microstructure, low-density thermally
bonded polymer-based nonwovens demonstrate complex processes of deformation and damage initiation
and evolution. This paper aims to introduce a micro-scale discontinuous finite element model to simulate
an onset of damage in low-density nonwovens. In the model, structural randomness of a nonwoven
fabric was introduced in terms of orientation distribution function (ODF) obtained by an algorithm based
on the Hough Transform. Fibres were represented in the model with truss elements with orientations
defined according to the computed ODF. Another structural element of nonwovens – bond points – were
modelled with shell elements having isotropic mechanical properties. The numerical scheme employed
direct modelling of fibres at micro level, naturally introducing the presence of voids into the model
and thus making it suitable for simulations of low-density nonwovens. The obtained results of FE simulations
were compared with our data of tensile tests performed in principal directions until the onset of
damage in the specimens.
Funding
We greatly acknowledge the support by the Nonwovens Cooperative Research Centre of North Carolina State University, Raleigh, USA.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
COMPUTATIONAL MATERIALS SCIENCE
Volume
64
Pages
112 - 115 (4)
Citation
FARUKH, F. ... et al, 2012. Numerical modelling of damage initiation in low-density thermally bonded nonwovens. Computational Materials Science, 64, pp. 112 - 115.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2012
Notes
NOTICE: this is the author’s version of a work that was accepted for publication in Computational Materials Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computational Materials Science, vol 64, November 2012, DOI:10.1016/j.commatsci.2012.05.038