Document Type
Article
Source Publication Title
Proceedings of Society for the Advancement of Material and Process Engineering (SAMPE) Conference 2020
Abstract
In today’s world, continuous fiber reinforced composite materials are extensively used in the aerospace, automotive and other structural industries. Since the applications of such fibers demand for a high safety rating, it is of utmost importance for engineers who design such materials to analyze its safety. When cracks are developed in such materials, the mechanical, electrical, and thermal properties also get altered as a function of the cracks. Previous studies have shown that changes in electrical properties can be directly correlated with the development of cracks in the material which can then be used to predict the remaining life of such materials. In this study we propose to introduce an additional layer of Electrospun Polyvinylidene Fluoride (PVDF) nanofiber in the CFRP matrix. PVDF is a piezoelectric material, meaning it will generate electricity on encountering vibrations. Therefore, when PVDF nanofibers are introduced in the matrix, the stress on the matrix will be translated onto the nanofibers which in turn will output electrical signals. In this study, 3 types of glass fiber composites (embedded with PVDF, embedded with PVDF with Multiwalled Carbon nanotube, and no additional material) are subjected to quasi static tensile tests while the impedance across the material is continuously measured. The change in impedance was then related to the stress the material was subjected to and predict the remaining life of the material.
Disciplines
Engineering | Materials Science and Engineering
Publication Date
1-1-2020
Language
English
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Mazed, Rahman Jani; Elenchezhian, Muthu Ram Prabhu; Vadlamudi, Vamsee; Ahmed, Md Riaz Uddin; Raihan, Rassel; and Reifsnider, Kenneth, "Performance Enhancement and Prediction of Composite Materials with Embedded Electrospun Piezoelectric Sensors" (2020). Institute of Predictive Performance Methodologies (IPPM-UTARI). 17.
https://mavmatrix.uta.edu/utari_ippm/17
Comments
Institute for Predictive Performance and Methodologies, The University of Texas at Arlington Research Institute, Fort Worth, TX Natural and Applied Sciences, The University of Wisconsin-Green Bay, Green Bay