Abstract
Carbon nanotube-based conductive polymer composites (CPC) showed great potentials for self-sensing and in situ structural health monitoring systems. Prediction of the long-term performance for such materials would be a meaningful topic for engineering design. In this work, the changing behavior of the long-term resistance of a multi-walled carbon nanotubes/epoxy resin composite gasket was studied under different temperature and loading conditions. Glass transition strongly influenced the resistance behavior of the composite during the thermal creep process. Similar to classical Kelvin–Voigt creep model, a model considering both the destruction and recovery processes of the conductive network inside the CPC was established. The long-term resistance variation can be predicted based on the model, and the results provided here may serve as a useful guide for further design of smart engineering structural health monitoring systems.
Highlights
In recent years, tremendous progress has been made in the demand for intelligent manufacturing, which brings new opportunities and challenges to the field of signal detection and fault diagnosis.applications of many diagnostic techniques are still very complicated, because it is necessary to disassemble and divide the tested parts or adjust the design of the device in order to install additional data-collecting sensors [1,2]
Similar to the mechanical creep model of the polymer, a model for the prediction of the variation of its electrical resistance was established, which may provide a helpful guide for furthering the engineering design of an in-situ sensing or damage monitoring system
The cross-section of the multi-walled nanotubes (MWNT)/epoxy resin composite was shown in Figure 2, in which the
Summary
Tremendous progress has been made in the demand for intelligent manufacturing, which brings new opportunities and challenges to the field of signal detection and fault diagnosis. It has been reported that a small volume fraction of carbon nanotubes dispersed in the polymer could form conductive networks, which would enable the composite to have sensing ability to certain thermal and mechanical stimuli [6,7,8]. Based on this characteristic, strain sensor [9] and related damage monitoring systems [10,11,12] have always been a research interest. In the present work, the long-term resistance behavior under different temperature and loading conditions was studied for the carbon nanotube-based polymer composite. Similar to the mechanical creep model of the polymer, a model for the prediction of the variation of its electrical resistance was established, which may provide a helpful guide for furthering the engineering design of an in-situ sensing or damage monitoring system
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