It is found that the ballistic resistance of such systems is sensitive to boundary conditions and yarn orientation.
For an intuitive visualization and analysis of the determined yarn orientation, reference yarn paths are reconstructed from the determined yarn angles.
The first step of the new method is to define the yarn orientation at every point of 3D textile composites and to update the yarn orientation using the deformation gradient.
Therefore, this paper presents an automated method for determining local yarn orientation in three-dimensionally draped, multi-layered fabrics.
A 2D Fast Fourier Transform is applied to local segments of the eddy current image to determine the local yarn orientation.
The model includes all the important parameters that influence the mechanical behavior: the lamina thickness, the yarn orientation, the fiber volume fraction and the mechanical characteristics of the components.
The temperature distributions and heat flux transferring pathways are mainly along the yarns' orientation directions.
The influence of some working (intensity per yarn) and design (orientation of the main reinforcement) parameters is studied.
Once the assembly is complete, growth of cells in the scaffold would occur in the orientation of the yarn, enabling the deposition of extra cellular matrixes proteins in an oriented manner.
The mathematical relationships among the structural parameters, such as fiber orientation, fiber volume fraction, the yarn packing factor, are derived.
