Piezoresistive behavior of elastomer composites with segregated network of carbon nanostructures and alumina

IF 9.9 2区材料科学 Q1 Engineering

Nano Materials Science Pub Date : 2023-09-01 DOI:10.1016/j.nanoms.2021.10.003

Chun-Yan Tang, Lei Liu, Kai Ke, Bo Yin, Ming-Bo Yang, Wei Yang

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引用次数: 1

Abstract

Electrically conductive elastomer composites (CECs) with segregated networks of conductive nanofillers show high potential in stretchable strain sensors due to balanced mechanical and electrical properties, yet the sensitivity at low strain is generally insufficient for practical application. Herein, we report an easy and effective way to improve the resistive response to low strain for CECs with segregated network structure via adding stiff alumina into carbon nanostructures (CNS). The CEC containing 0.7 wt% CNS and 5 wt% Al₂O₃ almost sustains the same elasticity (elongation at break of ∼900%) and conductivity (0.8 S/m) as the control, while the piezoresistive sensitivity is significantly improved. Thermoplastic polyurethane (TPU) composites with a segregated network of hybrid nanofillers (CNS and Al₂O₃) show much higher strain sensitivity (Gauge factor, GF = 566) at low strain (45% strain) due to a local stress concentration effect, this sensitivity is superior to that of TPU/CNS composites (GF = 11). Such a local stress concentration effect depends on alumina content and its distribution at the TPU particle interface. In addition, CECs with hybrid fillers show better reproducibility in cyclic piezoresistive behavior testing than the control. This work offers an easy method for fabricating CECs with a segregated filler network offering stretchable strain sensors with a high strain sensitivity.

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碳纳米结构与氧化铝分离网络弹性体复合材料的压阻行为

具有导电纳米填料隔离网络的导电弹性体复合材料（CECs）由于平衡的机械和电学性能，在可拉伸应变传感器中显示出高潜力，但在低应变下的灵敏度通常不足以用于实际应用。在此，我们报道了一种简单有效的方法，通过在碳纳米结构（CNS）中添加刚性氧化铝来提高具有分离网络结构的CEC对低应变的电阻响应。CEC包含0.7中枢神经系统重量%和5wt%的Al2O3几乎保持相同的弹性（断裂伸长率～900%）和导电性（0.8S/m）作为控制，同时压阻灵敏度显著提高。具有混合纳米填料（CNS和Al2O3）分离网络的热塑性聚氨酯（TPU）复合材料显示出更高的应变敏感性（应变系数，GF=566）在低应变（45%应变）下，由于局部应力集中效应，这种灵敏度优于TPU/CNS复合材料（GF=11）。这种局部应力集中效应取决于氧化铝含量及其在TPU颗粒界面处的分布。此外，与对照相比，具有混合填料的CEC在循环压阻性能测试中表现出更好的再现性。这项工作提供了一种简单的方法来制造具有隔离填料网络的CEC，该网络提供了具有高应变灵敏度的可拉伸应变传感器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nano Materials Science Engineering-Mechanics of Materials

CiteScore

20.90

自引率

3.00%

发文量

294

审稿时长

9 weeks

期刊介绍： Nano Materials Science (NMS) is an international and interdisciplinary, open access, scholarly journal. NMS publishes peer-reviewed original articles and reviews on nanoscale material science and nanometer devices, with topics encompassing preparation and processing; high-throughput characterization; material performance evaluation and application of material characteristics such as the microstructure and properties of one-dimensional, two-dimensional, and three-dimensional nanostructured and nanofunctional materials; design, preparation, and processing techniques; and performance evaluation technology and nanometer device applications.