2014
DOI: 10.1007/s11740-014-0561-z
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A modular modeling approach for describing the in-plane forming behavior of unidirectional non-crimp-fabrics

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Cited by 13 publications
(3 citation statements)
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“…This method is well suited for simple shaped parts like L-profiles, but becomes cumbersome for complex shaped parts. In case of the validation, the current study chooses a different approach based on a preceding draping simulation [24]. The information of fibre orientations is mapped from the draping simulation's 2D shell mesh to the 3D mesh of the distortion simulation.…”
Section: Modellingmentioning
confidence: 99%
“…This method is well suited for simple shaped parts like L-profiles, but becomes cumbersome for complex shaped parts. In case of the validation, the current study chooses a different approach based on a preceding draping simulation [24]. The information of fibre orientations is mapped from the draping simulation's 2D shell mesh to the 3D mesh of the distortion simulation.…”
Section: Modellingmentioning
confidence: 99%
“…However, woven fabrics have so far mainly been the focus of research on macroscopic forming simulations [5,6] due to their better formability. In contrast, biaxial NCF [7][8][9][10] or UD-NCF [1,[11][12][13] have been investigated much less and mostly based on mesoscopic approaches [11,12], which can only be used to a limited extent for component forming simulations due to their high numerical effort. Nevertheless, they can predict local forming effects, while macroscopic approaches only capture the deformations mechanisms occuring on the meso-scale in a homogenized manner to indicate areas with a high likelihood of e.g.…”
Section: Introductionmentioning
confidence: 99%
“…It considers both large-strain deformation and non-linear constitutive behaviour. To account for the permanent deformation caused by irreversible slip between fibre yarns, stitching and glass fibres, an elastic-plastic material model is chosen to capture the experimentally observed non-linearity of the macroscopic stress-strain relation [11], [13], [16].…”
Section: Intr Introduction Oductionmentioning
confidence: 99%