Electrical capacitance and mechanical performances of embedded piezo-polymer transducers in polymer-matrix composites under monotonic tensile tests

IF 2.4 3区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
J. Najd, W. Harizi, E. Zappino, Z. Aboura, Erasmo Carrera
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引用次数: 0

Abstract

In this study, the capacitance variation of piezoelectric polymeric transducers embedded in Polymer Matrix Composites (PMC) under monotonic tensile testing was studied. The aim was to draw out a comparison between the experimental and numerical results obtained via a high-order kinematics 2D model. In parallel, Non-Destructive Testing (NDT) including specimen temperature and Acoustic Emission (AE) signatures were obtained, and a Micro-tensile test was performed directly on the sensor material to further investigate the behaviour of capacitance of P(VDF-TRFE) films directly under tensile tests. The tensile tests were numerical modelled under static electro-mechanically coupled layer-wise 2D models. A sensitivity analysis was performed to determine the effects of the different parameters of the transducer. Under all the presented results, it was found that further investigation regarding the quantitative capacitance variation modelling needs to be carried out, as the presented modelling approach neglects capacitance non-linear behaviour, piezoelectric material discharge and the effects of capacitance measurement.
单调拉伸试验下聚合物基复合材料中嵌入式压电聚合物传感器的电容和机械性能
本研究对聚合物基复合材料(PMC)中嵌入的压电聚合物传感器在单调拉伸测试下的电容变化进行了研究。目的是比较实验结果和通过高阶运动学二维模型获得的数值结果。与此同时,还获得了包括试样温度和声发射(AE)信号在内的无损检测(NDT)结果,并直接在传感器材料上进行了微拉伸试验,以进一步研究 P(VDF-TRFE)薄膜直接在拉伸试验下的电容行为。拉伸试验在静态电子-机械耦合层向二维模型下进行了数值模拟。进行了敏感性分析,以确定传感器不同参数的影响。根据所有展示的结果,发现需要对电容变化的定量建模进行进一步研究,因为展示的建模方法忽略了电容非线性行为、压电材料放电和电容测量的影响。
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来源期刊
Journal of Intelligent Material Systems and Structures
Journal of Intelligent Material Systems and Structures 工程技术-材料科学:综合
CiteScore
5.40
自引率
11.10%
发文量
126
审稿时长
4.7 months
期刊介绍: The Journal of Intelligent Materials Systems and Structures is an international peer-reviewed journal that publishes the highest quality original research reporting the results of experimental or theoretical work on any aspect of intelligent materials systems and/or structures research also called smart structure, smart materials, active materials, adaptive structures and adaptive materials.
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