Affiliation:
1. School of Technology Beijing Forestry University Beijing 100083 China
2. Shanghai Key Laboratory of Intelligent Sensing and Detection Technology School of Mechanical and Power Engineering East China University of Science and Technology Shanghai 200237 China
3. Institute of Physics and Astronomy Faculty of Science University of Potsdam 14476 Potsdam‐Golm Germany
4. Department of Materials Science and Engineering Delft University of Technology Delft 2628 CD The Netherlands
5. Electrical Insulation Research Center Institute of Materials Science University of Connecticut Storrs CT 06269 USA
Abstract
AbstractThe growing demand for wearable devices has sparked a significant interest in ferroelectret films. They possess flexibility and exceptional piezoelectric properties due to strong macroscopic dipoles formed by charges trapped at the interface of their internal cavities. This review of ferroelectrets focuses on the latest progress in fabrication techniques for high temperature resistant ferroelectrets with regular and engineered cavities, strategies for optimizing their piezoelectric performance, and novel applications. The charging mechanisms of bipolar and unipolar ferroelectrets with closed and open‐cavity structures are explained first. Next, the preparation and piezoelectric behavior of ferroelectret films with closed, open, and regular cavity structures using various materials are discussed. Three widely used models for predicting the piezoelectric coefficients (d33) are outlined. Methods for enhancing the piezoelectric performance such as optimized cavity design, utilization of fabric electrodes, injection of additional ions, application of DC bias voltage, and synergy of foam structure and ferroelectric effect are illustrated. A variety of applications of ferroelectret films in acoustic devices, wearable monitors, pressure sensors, and energy harvesters are presented. Finally, the future development trends of ferroelectrets toward fabrication and performance optimization are summarized along with its potential for integration with intelligent systems and large‐scale preparation.
Funder
National Natural Science Foundation of China
Key Laboratory of Advanced Materials Processing Technology, Ministry of Education