Evaluation of sensing for electrical conductive composites has been implemented using electrical conductive nano
materials such as graphene, CNT and carbon fiber. Electrical resistance (ER) measurement for nondestructive evaluation
(NDE) was developed using self-sensing composites because method of damage sensing and crack prediction of
composites under external load is possible to use at aerospace, heavy industry, and automobile. In this research, diverse
damage sensing from mechanical impact and thermal aging for electrical conductive composites was investigated by
using ER method. To have the test, electrical conductive materials such as graphene, CNT and carbon fiber and matrixes
such as epoxy and vinyl ester were used for damage sensing and finding optimum materials for improving the bonding
force. Two and three dimensional ER mapping was used to sense and predict damages from tensile, compressive, impact
and drilling force. The differences in ER from different force were compared to explore their usage for real time
monitoring and sensing of damages. Enhance optimum materials and conditions from diverse force were confirmed by
J. M. Park, D. J. Kwon, P. S. Shin, J. H. Kim, and K. L. DeVries, "New sensing method of dispersion and damage detection of carbon fiber/polypropylene-polyamide composites via two-dimensional electrical resistance mapping," Proc. SPIE 10165, Behavior and Mechanics of Multifunctional Materials and Composites 2017, 101650M (Presented at SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring: March 27, 2017; Published: 11 April 2017); https://doi.org/10.1117/12.2257309.
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Study of self-shadowing effect as a simple means to realize nanostructured thin films and layers with special attentions to birefringent obliquely deposited thin films and photo-luminescent porous silicon