Exact(5)
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.
For an intuitive visualization and analysis of the determined yarn orientation, reference yarn paths are reconstructed from the determined yarn angles.
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.
Similar(55)
Continuum mechanics are employed to keep track of the yarn orientations at a given unit cell configuration.
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.
In the present work, we develop an integrated micro- and macro-constitutive model to predict the mechanical properties of woven composites during large deformation based on the microstructure of composites, i.e., the dimensions of fibers, yarns and unit cell, the material properties of composite constituents, as well as the orientation of yarns.
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.
Whereas in twill fabrics, the orientation of the yarns or fiber to one another is disrupted; capillaries are shorter, which reduce the liquid flow.
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