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首页> 外文期刊>Carbon: An International Journal Sponsored by the American Carbon Society >Tactile imaging and distributed strain sensing in highly flexible carbon nanofiber/polyurethane nanocomposites
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Tactile imaging and distributed strain sensing in highly flexible carbon nanofiber/polyurethane nanocomposites

机译:高柔性碳纳米纤维/聚氨酯纳米复合材料的触觉成像和分布式应变传感

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摘要

Highly flexible nanocomposites have tremendous potential as smart, self-sensing materials because their conductivity is inherently linked to their mechanical state. Herein, carbon nanofiber (CNF)/polyurethane (PU) nanocomposites are studied for tactile imaging and distributed strain sensing via electrical impedance tomography (EIT) by investigating the influence of filler volume fraction on microscale morphology, piezoresistive response while bonded to mechanically loaded substrates, and sensitivity to distributed strain. Load testing of the bonded sensor reveals that viscoelasticity and filler volume fraction profoundly affect the piezoresistive response. EIT is able to accurately capture and discern between multiple points of contact in each volume fraction with lower volume fractions being more sensitive thereby demonstrating the potential of utilizing tomographic methods for tactile imaging and distributed strain sensing in PU-based nanocomposites. (C) 2015 Elsevier Ltd. All rights reserved.
机译:高度柔性的纳米复合材料作为智能,自感应材料具有巨大的潜力,因为它们的导电性与它们的机械状态有着内在的联系。本文研究了碳纳米纤维(CNF)/聚氨酯(PU)纳米复合材料,用于通过电阻抗层析成像(EIT)进行触觉成像和分布式应变传感,方法是研究填料体积分数对粘结到机械负载基底上的微观形态,压阻响应的影响,和对分布式应变的敏感性。粘结传感器的负载测试表明,粘弹性和填料体积分数会深刻影响压阻响应。 EIT能够准确地捕获和辨别每个体积分数中的多个接触点,而较低的体积分数更敏感,从而证明了利用层析成像方法在基于PU的纳米复合材料中进行触觉成像和分布式应变传感的潜力。 (C)2015 Elsevier Ltd.保留所有权利。

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