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.
Conference Presentations are recordings of oral presentations given at SPIE conferences and published as part of the conference proceedings. They include the speaker's narration along with a video recording of the presentation slides and animations. Many conference presentations also include full-text papers. Search and browse our growing collection of more than 12,000 conference presentations, including many plenary and keynote presentations.
Monte Carlo based light propagation models to improve efficacy of biophotonics based therapeutics of hollow organs and solid tumours including photodynamic therapy and photobiomodulation (Conference Presentation)