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基于皮克林乳液法并结合热塑性聚氨酯制备用于高性能压阻传感器的弹性大孔石墨烯气凝胶

Preparation of Elastic Macroporous Graphene Aerogel Based on Pickering Emulsion Method and Combination with ETPU for High Performance Piezoresistive Sensors.

作者信息

Zhao Wei, Chen Hao, Wang Yuqi, Zhuo Qing, Liu Yaopeng, Li Yuanyuan, Dong Hangyu, Li Shidong, Tan Linli, Tan Jianfeng, Liu Zhuo, Li Yingru

机构信息

Key Laboratory of Green Manufacturing of Super-Light Elastomer Materials of State Ethnic Affairs Commission, Hubei Minzu University, Enshi 445000, China.

College of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi 445000, China.

出版信息

Micromachines (Basel). 2023 Oct 5;14(10):1904. doi: 10.3390/mi14101904.

DOI:10.3390/mi14101904
PMID:37893341
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10609432/
Abstract

High-performance pressure sensors provide the necessary conditions for smart shoe applications. In this paper, the elastic Macroporous Graphene Aerogel (MGA) was synthesized via the modified Hummers' method, and it was further combined with Expanded-Thermoplastic polyurethane (ETPU) particles to assemble MGA-ETPU flexible sensors. The MGA-ETPU has a low apparent density (3.02 mg/cm), high conductivity (0.024 S/cm) and fast response time (50 ms). The MGA-ETPU has a large linear sensing range (0-10 kPa) and consists of two linear regions: the low-pressure region (0 to 8 kPa) and the high-pressure region (8 to 10 kPa), with sensitivities of 0.08 kPa, and 0.246 kPa, respectively. Mechanical test results show that the MGA-ETPU sensor showed 19% reduction in maximum stress after 400 loading-unloading compression cycles at 40% strain. Electrical performance tests showed that the resistance of MGA-ETPU sensor decreased by 12.5% when subjected to sudden compression at 82% strain and returned to its original state within 0.05 s. Compared to existing flexible sensors, the MGA-ETPU sensors offer excellent performance and several distinct advantages, including ease of fabrication, high sensitivity, fast response time, and good flexibility. These remarkable features make them ideally suited as flexible pressure sensors for smart shoes.

摘要

高性能压力传感器为智能鞋应用提供了必要条件。本文通过改进的Hummers法合成了弹性大孔石墨烯气凝胶(MGA),并将其与发泡热塑性聚氨酯(ETPU)颗粒进一步复合,组装成MGA-ETPU柔性传感器。MGA-ETPU具有较低的表观密度(3.02 mg/cm)、较高的电导率(0.024 S/cm)和较快的响应时间(50 ms)。MGA-ETPU具有较大的线性传感范围(0-10 kPa),由两个线性区域组成:低压区域(0至8 kPa)和高压区域(8至10 kPa),灵敏度分别为0.08 kPa和0.246 kPa。力学测试结果表明,MGA-ETPU传感器在40%应变下经过400次加载-卸载压缩循环后,最大应力降低了19%。电学性能测试表明,MGA-ETPU传感器在82%应变下突然压缩时电阻降低了12.5%,并在0.05 s内恢复到原始状态。与现有的柔性传感器相比,MGA-ETPU传感器具有优异的性能和几个明显的优点,包括易于制造、高灵敏度、快速响应时间和良好的柔韧性。这些显著特性使其非常适合作为智能鞋的柔性压力传感器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/25bc6161cc24/micromachines-14-01904-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/1a677435626a/micromachines-14-01904-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/56c8296fe20b/micromachines-14-01904-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/3d634dc886bd/micromachines-14-01904-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/38279e7ca427/micromachines-14-01904-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/fbb7d11f21ca/micromachines-14-01904-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/450ea087c76f/micromachines-14-01904-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/18a3f8cb1a75/micromachines-14-01904-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/25bc6161cc24/micromachines-14-01904-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/1a677435626a/micromachines-14-01904-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/56c8296fe20b/micromachines-14-01904-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/3d634dc886bd/micromachines-14-01904-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/38279e7ca427/micromachines-14-01904-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/fbb7d11f21ca/micromachines-14-01904-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/450ea087c76f/micromachines-14-01904-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/18a3f8cb1a75/micromachines-14-01904-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b164/10609432/25bc6161cc24/micromachines-14-01904-g008.jpg

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