@inproceedings{c3b33a5640954e50ad276d914d54a7f2,
title = "The prediction of wrinkle formation in multi-layered biaxial fabrics during press tool forming",
abstract = "Liquid composite moulding (LCM) processes are more cost-effective compared to autoclave-cured prepreg, but an independent preforming step is typically required to convert 2D fabric blanks into complex 3D shapes prior to moulding. Numerical models are therefore important to predict the formation of defects during the design phase, in order to ensure the quality of final composite components. A macroscopic finite element model was employed to predict the forming behaviour of multi-layered biaxial non-crimp fabrics (NCF) during the press tool forming using a hemispherical punch. The forming behaviour of the NCF was predicted by simulations considering the bending stiffness of the NCF, enabling fabric wrinkling to be simulated. Simulation results indicate a correlation between fabric wrinkling and the in-plane shear deformation of fabrics. The severity of wrinkles was also influenced by the layup sequence. Compared with the single-orientation layups, more wrinkles were predicted for the layup comprising plies stacked at different orientations due to the dissimilar shear deformation between these plies.",
keywords = "Defects, Fabric/textile, Finite element analysis, Preforming",
author = "Fei Yu and Shuai Chen and Xiangming Chen",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; 3rd International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2022 ; Conference date: 11-11-2022 Through 13-11-2022",
year = "2023",
doi = "10.1117/12.2671474",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xiaoli Li",
booktitle = "Third International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2022",
}