R. Vishnukumar, A. A. Saifizul, Ab Rahman Marlinda, Azim Danial Azam, Md. Shalauddin
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引用次数: 0
摘要
最近,柔性电容式压力传感器的开发引起了研究人员对新兴可穿戴电子设备、监控应用和智能系统的极大兴趣。然而,要设计出灵敏度极高的电容式传感器仍然存在巨大困难。很少有研究报道使用电极间插设计(IDE)来提高传感器的灵敏度。在我们的研究中,我们选择了注入石墨烯的天然橡胶(NRG)作为传感介电层,因为它具有出色的循环压力加载响应以及高柔韧性和导电性。在此,我们报告了天然橡胶(NR)中不同石墨烯含量与 IDE 不同几何参数优化的阻抗响应。我们使用 COMSOL Multiphysics 模拟了银 IDE 的电特性。使用 Digilent Analog Discovery 阻抗分析仪分析了 NRG 的阻抗特性及其检测各种压力和弯曲角度的能力。了解这些特性及其如何受到影响对于设计高灵敏度电容式压力传感器至关重要。模拟显示了电压电位、电场和电极各数位之间形成的电容。阻抗分析有助于计算 NRG 的导电率。阻抗分析表明,当石墨烯含量为 5 wt.% 时,NRG 传感材料的电导率(≈0.006 S/m)和电容(≈0.30 pF)均有所提高。在这项新颖的工作中,成功地制造出了一种基于电容的压力传感器,该传感器采用了未硫化的 NR 和 5 wt.% 的石墨烯纳米板作为传感材料,在 40 kPa 的低力检测区域,传感器的灵敏度为 0.004 kPa-1。
Investigation and analysis of silver interdigitated electrodes with natural rubber infused graphene for capacitive-based flexible pressure sensor
The development of flexible capacitive pressure sensors has recently drawn significant interest among researchers for emerging wearable electronic devices, monitoring applications, and smart systems. However, it still poses enormous difficulty to design capacitive sensors with excellent sensitivity. Few studies have reported the use of interdigitated electrodes (IDE) designs to improve the sensitivity of sensors. In our study, we selected graphene-infused natural rubber (NRG) as the sensing dielectric layer owing to its excellent cyclic pressure loading response as well as its high flexibility and conductivity. Here, we reported the impedance response of different graphene contents in natural rubber (NR) with the optimization of different geometrical parameters of IDEs. The electrical properties of silver IDEs are simulated using COMSOL Multiphysics. The impedance characteristics of NRG and its capability for detecting a wide variety of pressures and bending angles are analyzed using a Digilent Analog Discovery impedance analyzer. Understanding these properties and how they can be affected is vital in designing highly sensitive capacitive pressure sensors. Simulations were used to show the voltage potential, electrical field, and capacitance developed between the individual digits of the electrodes. The impedance analysis was helpful in computing the electrical conductivity of the NRG. The impedance analysis showed that the NRG sensing material improved in conductivity (≈0.006 S/m) and capacitance (≈0.30 pF) with a graphene loading of 5 wt.%. In this novel work, a capacitive-based pressure sensor incorporating unvulcanized NR and 5 wt.% graphene nanoplatelet as the sensing material was successfully fabricated with a sensor sensitivity of 0.004 kPa−1 for the low-force detection region of 40 kPa.