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基于碳的纳米材料薄膜沉积在柔性衬底上用于应变传感应用。

Carbon-Based Nanomaterials Thin Film Deposited on a Flexible Substrate for Strain Sensing Application.

机构信息

Department of Mechanical Engineering, Yuan Ze University, 135 Yuan-Tong Road, Chung-Li 320, Taoyuan 32003, Taiwan.

出版信息

Sensors (Basel). 2022 Jul 4;22(13):5039. doi: 10.3390/s22135039.

DOI:10.3390/s22135039
PMID:35808534
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9269850/
Abstract

Hybrid nanomaterial film consisting of multi-walled carbon nanotubes (MWCNT) and graphene nanoplatelet (GNP) were deposited on a highly flexible polyimide (PI) substrate using spray gun. The hybridization between 2-D GNP and 1-D MWCNT reduces stacking among the nanomaterials and produces a thin film with a porous structure. Carbon-based nanomaterials of MWCNT and GNP with high electrical conductivity can be employed to detect the deformation and damage for structural health monitoring. The strain sensing capability of carbon-based hybrid nanomaterial film was evaluated by its piezoresistive behavior, which correlates the change of electrical resistance with the applied strain through a tensile test. The effects of weight ratio between MWCNT and GNP and the total amount of hybrid nanomaterials on the strain sensitivity of the nanomaterial thin film were investigated. Experimental results showed that both the electrical conductivity and strain sensitivity of the hybrid nanomaterial film increased with the increase of the GNP contents. The gauge factor used to characterize the strain sensitivity of the nanomaterial film increased from 7.75 to 24 as the GNP weight ratio increased from 0 wt.% to 100 wt.%. In this work, a simple, low cost, and easy to implement deposition process was proposed to prepare a highly flexible nanomaterial film. A high strain sensitivity with gauge factor of 24 was achieved for the nanomaterial thin film.

摘要

采用喷枪将多壁碳纳米管（MWCNT）和石墨烯纳米片（GNP）的混合纳米材料薄膜沉积在高柔性聚酰亚胺（PI）基底上。二维 GNP 和一维 MWCNT 的杂交减少了纳米材料之间的堆积，并产生了具有多孔结构的薄膜。具有高导电性的 MWCNT 和 GNP 等碳基纳米材料可用于检测结构健康监测中的变形和损坏。通过拉伸试验，通过压阻行为评估碳基混合纳米材料薄膜的应变传感能力，该行为通过电阻的变化与施加的应变相关联。研究了 MWCNT 和 GNP 的重量比以及混合纳米材料的总量对纳米材料薄膜应变灵敏度的影响。实验结果表明，随着 GNP 含量的增加，混合纳米材料薄膜的电导率和应变灵敏度均增加。用于表征纳米材料薄膜应变灵敏度的应变系数从 7.75 增加到 24，而 GNP 重量比从 0wt.%增加到 100wt.%。在这项工作中，提出了一种简单、低成本且易于实施的沉积工艺来制备高柔性纳米材料薄膜。纳米材料薄膜的应变系数达到 24，具有较高的应变灵敏度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/f3a6c25efce4/sensors-22-05039-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/2c9cd5665e80/sensors-22-05039-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/6608b3d002d7/sensors-22-05039-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/fc805cbdb996/sensors-22-05039-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/b2a5bfaf6407/sensors-22-05039-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/f0fd4b181fb0/sensors-22-05039-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/db9caf56bec2/sensors-22-05039-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/5c44fc376c74/sensors-22-05039-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/319bdb245ca5/sensors-22-05039-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/d555746b750b/sensors-22-05039-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/954b0aa8c7ad/sensors-22-05039-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/3eba852a7077/sensors-22-05039-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/3e4b36410c44/sensors-22-05039-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/62e49b4babd2/sensors-22-05039-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/f3a6c25efce4/sensors-22-05039-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/2c9cd5665e80/sensors-22-05039-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/6608b3d002d7/sensors-22-05039-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/fc805cbdb996/sensors-22-05039-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/b2a5bfaf6407/sensors-22-05039-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/f0fd4b181fb0/sensors-22-05039-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/db9caf56bec2/sensors-22-05039-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/5c44fc376c74/sensors-22-05039-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/319bdb245ca5/sensors-22-05039-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/d555746b750b/sensors-22-05039-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/954b0aa8c7ad/sensors-22-05039-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/3eba852a7077/sensors-22-05039-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/3e4b36410c44/sensors-22-05039-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/62e49b4babd2/sensors-22-05039-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1892/9269850/f3a6c25efce4/sensors-22-05039-g014.jpg

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