New sensing method of dispersion and damage detection of carbon fiber/polypropylene-polyamide composites via two-dimensional electrical resistance mapping

Abstract

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 ER method.