基于石墨烯@石蜡复合微球的柔性压阻适变传感器

Flexible piezoresistive sensor with a wide pressure-detection range induced by graphene@paraffin microsphere

  • 摘要: 作为柔性电子、人机交互、智能机器人等领域的核心元器件之一,柔性压力传感器近年来得到了极大发展。虽然柔性压阻传感器因结构简单、稳定性好等优点而得到了广泛应用,然而大多数文献报道的柔性压阻传感器的有效应力测试范围较窄,难以满足传感系统的集成化设计要求。基于此,本文将石墨烯纳米片包覆的石蜡复合微球、短碳纤维和硅橡胶复合,制备得到基于石墨烯@石蜡复合微球的柔性压阻复合材料。由于石蜡压缩模量的温敏特性以及石墨烯纳米片和短碳纤的协同作用,在电场辅助下,该复合材料在0-40%压缩应变下的压缩模量可在0.64-0.88 MPa范围内变化。因此,基于该复合材料的柔性压力传感器在0-2 Hz频率范围具有宽的有效应力检测范围(0.1-100 kPa),优于大部分文献报道的柔性压力传感器。具体来说,在外加电压为1 V、10 V和15 V时,传感器的有效应力检测范围分别为0.25-100 kPa、0.15-80 kPa和0.1-70 kPa。此外,传感器还具有较高的响应准确度,在健康监测、可穿戴电子设备和智能机器人等领域有一定的应用潜力。

     

    Abstract: Being one of the key components in flexible electronics, human-computer interaction, intelligent robots, and so on, flexible pressure sensors have been highly developed in recent years. Because of their simple structure and good stability, flexible piezoresistive sensors have been widely used. However, most flexible piezoresistive sensors reported have a limited effective pressure-detection range, which restricts the integrity design of sensing system. In this paper, a flexible piezoresistive composite was produced by using the paraffin microspheres surface-coated with graphene nanoplatelets (GNPs), short carbon fibers (SCFs) and silicone rubber. Due to the temperature-dependent compressive property of paraffin and the synergistic effect of GNPs and SCFs, the composites obtained have a wide modulation range of compressive modulus from 0.64 to 0.88 MPa within the compressive strain of 0-40% under the assistance of electrical field. Therefore, the composite sensor obtained shows a wide effective pressure-detection range of 0.1-100 kPa at the frequency range of 0-2 Hz, much wider than most flexible pressure sensors reported. To be specific, the composite sensor has an effective pressure-detection range of 0.25-100 kPa, 0.15-80 kPa and 0.1-70 kPa after applying a voltage of 1 V, 10 V and 15 V, respectively. In addition to the wide pressure-detection range, the current sensor exhibits a relatively high sensing accuracy, thus showing a great potential in the fields of health monitor wearable electronic devices and intelligent robots.

     

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