A macroscale finite element approach for simulating the bending behaviour of biaxial fabrics
Yu, F.; Chen, S.; Viisainen, J.V.; Sutcliffe, M.P.F.; Harper, L.T.; Warrior, N.A.
SHUAI CHEN Shuai.Chen@nottingham.ac.uk
Senior Research Fellow
LEE HARPER LEE.HARPER@NOTTINGHAM.AC.UK
Associate Professor - Composites Manufacturing
NICHOLAS WARRIOR email@example.com
Professor of Mechanical Engineering & Head of Research Division
A macroscale finite element (FE) model was developed to simulate the forming behaviour of biaxial fabrics, incorporating the effects of bending stiffness to predict fabric wrinkling. The dependency of the bending stiffness on the fibre orientation was addressed by extending a non-orthogonal constitutive framework previously developed for biaxial fabric materials. The nonlinear bending behaviour of a biaxial non-crimp fabric (NCF) with pillar stitches was characterised by a revised cantilever test using structured light scanning to measure specimen curvature, providing input data for the material model. Simulations were performed to replicate the bias-extension behaviour of the NCF material, showing good agreement with experimental data. Wrinkles were observed within the central area of the specimen at low extension, which consequently affect the uniformity of the shear angle distribution in the region where pure shear is expected.
Warrior, N., Yu, F., Harper, L., Chen, S., Sutcliffe, M., & Viisainen, J. (2020). A macroscale finite element approach for simulating the bending behaviour of biaxial fabrics. Composites Science and Technology, 108078. https://doi.org/10.1016/j.compscitech.2020.108078
|Journal Article Type||Article|
|Acceptance Date||Feb 16, 2020|
|Online Publication Date||Feb 19, 2020|
|Publication Date||Feb 19, 2020|
|Deposit Date||Feb 21, 2020|
|Publicly Available Date||Feb 20, 2022|
|Journal||Composites Science and Technology|
|Peer Reviewed||Peer Reviewed|
|Keywords||General Engineering; Ceramics and Composites|
This file is under embargo until Feb 20, 2022 due to copyright restrictions.
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