Exploiting carbon nanotube networks for damage assessment of fiber reinforced composites

被引:71
作者
Baltopoulos, A. [1 ]
Polydorides, N. [2 ]
Pambaguian, L. [3 ]
Vavouliotis, A. [1 ]
Kostopoulos, V. [1 ]
机构
[1] Univ Patras, Mech Engn & Aeronaut Dept, Appl Mech Lab, Patras, Greece
[2] Univ Edinburgh, Sch Engn, Inst Digital Commun, Edinburgh, Midlothian, Scotland
[3] European Space Agcy, European Space Res & Technol Ctr, Mat & Components Technol Div, NL-2200 AG Noordwijk, Netherlands
基金
欧盟第七框架计划;
关键词
Glass fibres; Smart materials; Electrical properties; Non-destructive testing; Electrical resistance tomography; ELECTRICAL-IMPEDANCE; IMPACT DAMAGE; CONDUCTIVITY; CFRP;
D O I
10.1016/j.compositesb.2015.02.022
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
An approach for damage inspection of composite structures utilizing carbon nanotubes (CNT) networks is investigated. CNT are dispersed in an epoxy using a processing technique compatible with commonly employed composite manufacturing techniques and subsequently used as matrix for a structural glass fiber reinforced composite. The developed electrical conductivity of the composite system is verified experimentally. The electrically conductive CNT network within the GFRP is exploited through distributed electrical voltage measurements to sense and, ultimately, locate damage in the plane of the composite plate. Damage in the form of cracks or delamination interrupts the continuity of the CNT network separating and isolating regions of the conductive network. Employing electric potential fields these changes can become measurable and can provide information for inversely locating the damage. Electrical Resistance Tomography (ERT) is formulated and experimentally applied to measure changes in the potential fields and deliver electrical conductivity change maps which are used to identify and locate changes in the CNT networks. These changes are correlated to capture the damage in the composite. Different damage modes are studied to assess the capabilities of the technique. The technique shows sensitivity to very small damages; less than 0.1% of the inspected area. The solution of the inverse ERT problem delivers a conductivity change maps which offers an effective localization with nearly 10% error and an inspection area suppression of around 75%. The proposed methodology to create CNT networks enables the application of ERT for Non-Destructive Evaluation of composite materials, previously not possible due to lack of conductivity, thus offering damage sensing and location capabilities even in-situ. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:149 / 158
页数:10
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