Modeling and improvement in piezoelectric sensor design

Abstract

This article explores the design and optimization of piezoelectric sensors, focusing on the impact of electrode configuration and material fatigue on sensor performance. Piezoelectric sensors are pivotal in various applications, including medical instrumentation, aerospace, and structural health monitoring. This study emphasizes the importance of electrode placement, shape, and size in enhancing charge collection efficiency while minimizing parasitic effects, such as leakage currents and unwanted capacitance. We utilize various modeling techniques, including the finite element method (FEM) and analytical models, to simulate charge density distribution and electric field behavior. Simulation results reveal a direct relationship between applied mechanical stress and generated charge density, as well as insights into the electric field distribution across the sensor. Additionally, we investigate the effects of damping and isolation techniques in reducing noise and improving reliability, demonstrating that increased damping can lead to decreased displacement response while enhancing stability. The findings highlight the balance required between sensitivity and stability in piezoelectric sensor design. This work contributes valuable insights into optimizing piezoelectric sensors for improved performance across diverse applications, with implications for future research on advanced materials and novel configurations.