The prediction of wrinkle formation in multi-layered biaxial fabrics during press tool forming

Fei Yu; Shuai Chen; Xiangming Chen

doi:10.1117/12.2671474

28 April 2023 The prediction of wrinkle formation in multi-layered biaxial fabrics during press tool forming

Fei Yu, Shuai Chen, Xiangming Chen

Author Affiliations +

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 1261015 (2023) https://doi.org/10.1117/12.2671474
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

Liquid Composite Molding (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 molding. 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 behavior of multi-layered biaxial Non-Crimp Fabrics (NCF) during the press tool forming using a hemispherical punch. The forming behavior 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.

Citation Download Citation

Fei Yu, Shuai Chen, and Xiangming Chen "The prediction of wrinkle formation in multi-layered biaxial fabrics during press tool forming", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 1261015 (28 April 2023); https://doi.org/10.1117/12.2671474

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