Understanding the Cyclic Performance Degradation Mechanism of Graphene-Based Strain Sensor and an Effective Corresponding Improvement Solution.
ACS applied materials & interfaces(2020)
摘要
Graphene-based strain sensors have attracted tremendous interest due to their potential application as intelligent wearable sensing devices. However, for graphene-based strain sensors, it is found that the sensing property at the beginning of tensile cycle is not stable. Concretely, the peak resistance value will gradually decline in the first dozens of cycles in every cyclic test. This is a problem that obviously affect the measurement accuracy but is rare investigated so far. In this paper, this phenomenon is for the first time systematically studied. According to the reliable experimental results, it can be concluded that the decline of resistance is caused by the evolution of wrinkle morphologies in the graphene layer, which is essentially attributed to the temporary slippage of the graphene sheets under external stress. Based on the analyzed mechanism, targeted improvement solution was proposed and verified. By the combined effects of polydopamine and Ni2+, the slippage among rGO sheets was suppressed and strain sensor with excellent sensing stability was obtained as expected. Furthermore, the sensitivity of the modified sensor was 6 times higher than the pristine one due to the change of crack form, demonstrating it an effective method to obtain graphene-based strain sensor with comprehensively high performances.
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关键词
strain sensor,graphene,microstructure,cycling stability,high sensitivity
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