文献类型：期刊文献

英文题名：A Microstructure-Enhanced Dual-Mode LC Sensor with a PSO-BP Algorithm for Precise Detection of Temperature and Pressure

作者：Miao, Hailiang[1];Bi, Jinglong[1];Gao, Yang[1,2,3];Wang, Yiming[1,3];Wang, Tao[1,3];Mo, Runwei[1,3];Qian, Min[4];Zhu, Mingliang[1,3];Xuan, Fuzhen[1,3]

机构：[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai Key Lab Intelligent Sensing & Detect Tech, Shanghai 200237, Peoples R China;[2]Wuhan Text Univ, State Key Lab New Text Mat & Adv Proc Technol, Wuhan 430200, Peoples R China;[3]East China Univ Sci & Technol, Key Lab Pressure Syst & safety, Minist Educ, Shanghai 200237, Peoples R China;[4]East China Univ Sci & Technol, Sch Phys, Shanghai 200237, Peoples R China

年份：2024

卷号：34

期号：48

外文期刊名：ADVANCED FUNCTIONAL MATERIALS

收录：;EI(收录号：20243416898627);WOS:【SCI-EXPANDED(收录号:WOS:001292581200001)】；

基金：This project was supported by the National Natural Science Foundation of China (Grant Nos. 52275146, 61804054, 12411530109, and 12174102), State Key Laboratory of New Textile Materials and Advanced Processing Technologies, No. FZ2022006, Shanghai Pilot Program for Basic Research (22TQ1400100-9), and Space Application System of China Manned Space Program.

语种：英文

外文关键词：flexible LC sensors; PDMS microstructures; pressure sensing; temperature sensing

摘要：High-sensitivity flexible wireless passive sensors with multiple parameters sensing capability are highly demanded for industrial production, structural health monitoring, and medical care. In this study, a microstructure-enhanced temperature and pressure dual-mode inductance capacitance (LC) sensor is developed with a particle swarm optimization-back propagation (PSO-BP) algorithm for simultaneous measurement of temperature and pressure. In the device, two interdigital electrodes connected at different parts of an inductor is used to realize dual-mode measurement of pressure and temperature, with reduced volume and cost of the device as well as avoided interaction of the superimposed inductance. The sandpaper-molded polydimethylsiloxane microstructures are employed to enhance the device sensitivity, with six and three times of improvement in temperature and pressure sensitivity, respectively. A PSO-BP neural network suitable for regression analysis of low dimensional small sample data is constructed to achieve the simultaneous measurement of pressure and temperature with an accuracy up to 94%. Furthermore, investigations have proved the promising applications of the dual-mode LC sensor in health monitoring of lithium-ion batteries and detection of plantar pressure for medical care. A microstructure-enhanced dual-mode LC sensor is developed with a particle swarm optimization-back propagation algorithm for precise detection of temperature and pressure. The device demonstrates sensitivities of 386.37 kHz degrees C-1 and -1.10 MHz kPa-1 (0-8 kPa) for temperature and pressure, respectively, showing promising applications in health monitoring of lithium-ion batteries and detection of plantar pressure for medical care. image