Alternating current-impedance spectroscopy (AC-IS) was employed to non-destructively characterize fiber segregation in the specimens.
An effective coefficient of the fiber volume fraction in the loading direction was used to characterize fiber architectures of the preforms.
An effective coefficient of the fiber volume fraction in the direction of loading (ECFL) was defined to characterize fiber architectures of the preforms.
The internal structure of the composites is observed by using an X-ray microtomography to characterize fiber length distributions.
To address this problem, micro-computed tomography (micro-CT) was used to characterize fiber distribution in this study, which permitted 3D visualization within the materials.
The internal structures of the composites are observed by using an X-ray micro-tomographic scanning method to characterize fiber length and orientation distributions.
In this paper, we propose a specialized probe to detect in-plane and out-of-plane fiber waviness in unidirectional carbon fiber-reinforced plastics and to characterize fiber orientations by an eddy current-based nondestructive technique.
Likewise, N 1, with its lack of fuzz fiber and sparsely-distributed lint fibers has been used to characterize fiber elongation processes [ 17].
To characterize fiber stability, we monitored the changes in fiber morphology after incubation of the fibers in cell culture medium from 2 h to 7 days.
In this course students learn techniques to identify and characterize fibers, yarns and fabrics.
