Textiles have been used as preforms for high-performance composite materials. Fiber
architecture of the preform has a decisive effect on mechanical properties of composite. As a …

A deep learning surrogate model is developed to rapidly predict the wrinkling patterns of a
biaxial non-crimp fabric (NCF) layup for any given tool geometry during forming. The …

As the requirement for low cost, high volume production of composites increases, so does
the requirement for modelling capability to help inform and optimise the composite …

The drapability of a textile composite reinforcement is its capability to be formed on a double
curved shape without wrinkling. This is an important property of a textile reinforcement when …

Inter-ply friction plays an important role in the formation of defects in automated preforming
of complex components, as relative sliding between plies can generate local compressive …

The draping process of textile reinforcements is the first and one of the most critical steps in
manufacturing continuous fiber-reinforced polymer composites by Liquid Composite …

A macroscopic finite element model has been established to investigate the forming-induced
wrinkling behaviour for bi-axial fabrics. Results indicate that using a linear bending model …

During the draping of dry textile reinforcements, the high tensile stiffness of fibers and the
possible slippage between them significantly modify the transverse shear deformation …

The formation of woven preforms is crucial for the quality and performance of textile
composites produced through the Liquid Composite Molding (LCM) process. However, the …

A global-to-local modelling strategy is presented based on a sub-modelling approach to
predict the formation of macroscale defects in bi-axial non-crimp fabric (NCF) during double …