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Characterisation and numerical modelling of complex deformation behaviour in thermally bonded nonwovens
journal contributionposted on 2015-03-13, 14:37 authored by Farukh Farukh, Emrah DemirciEmrah Demirci, Baris Sabuncuoglu, Memis Acar, Behnam Pourdeyhimi, Vadim SilberschmidtVadim Silberschmidt
A complex time-dependent deformation and damage behaviour in polymer-based nonwovens are analysed under conditions of multi-stage uniaxial loading. Elastic–plastic and viscous properties of a polypropylene-based fabric are obtained by series of tensile, creep and relaxation tests performed on single fibres extracted from the studied fabric. These properties are implemented in a finite-element (FE) model of nonwoven with direct introduction of fibres according to their actual orientation distribution in order to simulate the rate-dependent deformation up to the onset of damage in thermally bonded nonwovens. The predictions of FE simulations are compared with the experimental data of multi-stage deformation tensile tests and a good agreement is obtained including the mechanisms of deformation. Due to direct modelling of fibres based on their actual orientation distribution and implementation of viscous properties, the model could be extended to other types of polymer-based random fibrous networks.
We greatly acknowledge support by the Nonwovens Cooperative Research Centre of North Carolina State University, Raleigh, USA. FiberVisions®, USA generously provided the material for this study. We also acknowledge the use of Photron (Fastcam SA3), borrowed from the EPSRC UK Engineering Instrument Pool.
- Mechanical, Electrical and Manufacturing Engineering
Published inCOMPUTATIONAL MATERIALS SCIENCE
Pages165 - 171 (7)
CitationFARUKH, F. ... et al, 2013. Characterisation and numerical modelling of complex deformation behaviour in thermally bonded nonwovens. Computational Materials Science, 71, pp. 165 - 171.
Publisher© Elsevier B.V.
- AM (Accepted Manuscript)
Publisher statementThis 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/
NotesNOTICE: 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 71, April 2013, DOI: 0.1016/j.commatsci.2013.01.007