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Modeling reorientation phenomena in nonwoven materials with random fiber network microstructure
Author(s) -
Raina Arun,
Linder Christian
Publication year - 2013
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201310120
Subject(s) - stiffening , materials science , microstructure , fiber , anisotropy , displacement (psychology) , mechanics , granular material , dissipative system , composite material , statistical physics , physics , optics , psychology , quantum mechanics , psychotherapist
In this work, a micromechanically motivated affine full network model (AFNM) is used to simulate the load‐displacement response of nonwoven materials. These materials are made from synthetic advanced fibers by bonding or interlocking networks of randomly laid fibers through mechanical, chemical or thermal processes. This results into a random fibrous network microstructure and a highly inhomogeneous response to external loadings with a very high degree of anisotropy. The load‐displacement response under large strains is observed to be highly non‐linear with a stiffening behavior which is also accompanied by complex dissipative phenomena. The preliminary simulation results with the AFNM, after reducing to two‐dimensional setting, highlight its limitations and help identify the areas of improvement for a realistic material modeling. Reorientation of fibers are shown to play a critical role in the overall macroscale response of the materials. A new evolution law for reorientation is presented in the form of a first order ordinary differential equation where an exact analytical solution to the same is also computed. Improvements of the predicted load‐displacement response signify the microscopic origins of the non‐linear stiffening behavior as reorientation of fibers. (© 2013 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)