基于多壁碳纳米管的智能运动服在大学体育课中的安全应用

IF 0.7 4区 材料科学 Q3 Materials Science Materials Express Pub Date : 2023-12-01 DOI:10.1166/mex.2023.2585
Nan Hu, Baixu Wang
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引用次数: 0

摘要

随着体育教育的发展,高校体育课堂越来越多样化,但这种发展也带来了安全问题。智能运动服,作为人体数据的实时监控设备,可以增强师生的安全。本研究的重点是利用改性多壁碳纳米管(MWCNTs)开发柔性压阻传感器的导电填料。首先,利用隧道理论和渗透率效应建立了传感机理模型,分析了电导率和压阻效应;随后,选择硅烷偶联剂KH550和十二烷基苯磺酸钠(SDBS)来提高导电填料的性能。最后,智能手套、智能鞋垫和智能背心被设计用于检测手压、脚压和呼吸频率。此举旨在加强体育教室的安全措施。并通过仿真实验对其性能进行了验证。结果表明,用KH550和SDBS对MWCNTs进行改性后,填料浓度越高,其电导率越高。kh550 - sds - mwnt /PU材料的断裂伸长率提高108.3%,非线性误差降低9%,线性度增强,灵敏度提高2.972。位移偏差分析揭示了填料浓度变化的载荷变化趋势。智能服装的实证分析,如智能鞋垫,将传感器数据与理论原理相结合,突出了柔性传感器性能增强的潜力。总之,改进的MWCNs具有增强柔性传感器性能的潜力。
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Application of smart sportswear based on multi-walled carbon nanotubes for safety in college physical education classes
As physical education advances, college physical education classrooms are becoming increasingly diverse, but this development also brings security concerns. Intelligent sportswear, serving as a real-time monitoring device for human data, can enhance safety for both teachers and students. This study focuses on developing a conductive filler for flexible piezoresistive sensors using modified multi-walled carbon nanotubes (MWCNTs). Firstly, the tunneling theory and permeability effects are employed to establish a sensing mechanism model and analyze the conductivity and piezoresistive effects. Subsequently, silane coupling agents (KH550) and sodium dodecyl benzene sulfonate (SDBS) are chosen to enhance the conductive filler’s performance. Finally, smart gloves, smart insoles, and smart vests are designed for the detection of hand pressure, foot pressure, and respiratory rate. This aims to enhance safety measures in physical education classrooms. Furthermore, their performance is validated through simulation experiments. Results indicate that MWCNTs were modified with KH550 and SDBS, showing improved conductivity with higher filler concentration. KH550-SDBS-MWNT/PU material demonstrates 108.3% increased elongation at break, 9% reduction in nonlinear error, enhanced linearity, and 2.972 sensitivity increase. Displacement deviation analysis reveals load change trends based on filler concentration. Empirical analysis of smart clothing, like smart insoles, aligns sensor data with theoretical principles, highlighting the potential for flexible sensor performance enhancement. In conclusion, the modified MWCNs have demonstrated potential for enhancing the performance of flexible sensors.
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Materials Express
Materials Express NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
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>12 weeks
期刊介绍: Information not localized
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