Design and Optimization of a Pressure Sensor Based on Serpentine-Shaped Graphene Piezoresistors for Measuring Low Pressure

• Published in: Sensors (Basel, Switzerland) Switzerland), 2022-06, Vol.22 (13), p.4937
• Main Authors: Ren, Xincheng, Liu, Xianyun, Su, Xin, Jiang, Xingfang
• Format: Article
• Language: English
• Subjects: Bridges; Curve fitting; Deflection; Design; Design optimization; Diaphragms (mechanics); finite element method; Graphene; Highway construction; Low pressure; Mechanical properties; Microelectromechanical systems; Nonlinearity; piezoresistive pressure sensor; Piezoresistors; Pressure sensors; Prisms; Sensitivity; Sensors; Stress concentration; Taguchi methods
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s22134937

This thesis describes a novel microelectromechanical system (MEMS) piezoresistive pressure sensor based on serpentine-shaped graphene piezoresistors paired with trapezoidal prisms under the diaphragm for measuring low pressure. The finite element method (FEM) is utilized to analyze the mechanical stress and membrane deflection to enhance the degree of stress concentration in this unique sensor. The functional relationship between mechanical performance and dimension variables is established after using the curve fitting approach to handle the stress and deflection. Additionally, the Taguchi optimization method is employed to identify the best dimensions for the proposed structure. Then, the suggested design is compared to the other three designs in terms of operating performance. It is revealed that the recommended sensor can significantly improve sensitivity while maintaining extremely low nonlinearity. In this study, three different types of serpentine-shaped graphene piezoresistors are also designed, and their sensing capability is compared to silicon. The simulation results indicate that the pressure sensor with Type 2 graphene piezoresistors has a maximum sensitivity of 24.50 mV/psi and ultra-low nonlinearity of 0.06% FSS in the pressure range of 0–3 psi.