基于基底弹性模量梯度设计的灵敏度可调柔性应变传感器研究

Research on Sensitivity Adjustable Flexible Strain Sensor with Gradient Elastic Modulus Substrate

  • 摘要: 为适应工作环境和应用场景对应变传感器灵敏度的差异性需求,开发一款灵敏度可调的柔性应变传感器具有重要意义,但目前仍缺乏有效的灵敏度调控手段。基于此,本文提出了一种兼具高灵敏度和宽量程范围的裂纹结构应变传感器,通过调整聚二甲基硅氧烷(PDMS)中固化剂的比例,实现了Ecoflex/PDMS/石墨烯(GEP)基底弹性模量在0.27 MPa~0.85 MPa范围内的调控。使用不同弹性模量的复合材料进行组合并构建传感器的基底,实现了传感器灵敏度的精准调控。研究表明,基底两区域的弹性模量差异越大,传感器的灵敏度越高,基底两区域的长度比也会显著影响传感器的灵敏度。以GEP0和GEP(100∶15)构建的传感器,在0-2.98%、2.98%-34.23%和34.23%-50%的应变范围内,灵敏度GF分别达到了52597488021579。所提出的基底梯度弹性模量应变传感器具有良好的抗环境干扰特性、动态响应特性和循环稳定性,应用于四种运动状态的监测和五种手势的识别,可以精确识别不同关节处的运动状态,几种规格传感器之间可以组合实现高效协同,均具有稳定且明显的实时信号响应。这种新颖的结构设计为开发高性能柔性应变传感器提供了新途径。

     

    Abstract: In order to adjust the different sensitivity requirements of strain sensor in different working environment and application scenarios, it is of great significance to develop a flexible strain sensor with adjustable sensitivity, however, lack of effective control methods. A crack-structured strain sensor with both high sensitivity and wide range is proposed. By adjusting the proportion of curing agent in polydimethylsiloxane (PDMS), the elastic modulus of Ecoflex/PDMS/graphene (GEP) substrate is controlled within the range of 0.27 MPa~0.85 MPa. By combining composite materials with different elastic moduli to construct the substrate, the precise control of sensor sensitivity is achieved. The research shows that the greater the difference in elastic modulus between the two regions of the substrate, the higher the sensitivity of the sensor, and the length ratio of the two regions of the substrate will also significantly affect the sensitivity of the sensor. The sensitivity GF of the sensor constructed with GEP0 and GEP(100∶15) reached 52597, 4880, and 21579 in the strain ranges of 0-2.98%, 2.98%-34.23%, and 34.23%-50%, respectively. The proposed strain sensor with gradient elastic modulus substrate has good anti-environmental interference characteristics, dynamic response characteristics and cyclic stability. It is applied to the monitoring of four motion states and the recognition of five gestures., which can accurately identify the motion status at different joints. Several specifications of sensors can be combined to achieve efficient collaboration, and has stable and obvious real-time signal response. This novel structural design provides a new way for the development of high performance flexible strain sensors.

     

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