Highly Sensitive Strain Sensor Using Carbon Nanotube

被引:0
作者
Kawakami, Hiroshi [1 ]
Suzuki, Ken [2 ]
Miura, Hideo [2 ]
机构
[1] Tohoku Univ, Grad Sch Eng, Dept Nanomech, Sendai, Miyagi 980, Japan
[2] Tohoku Univ, Grad Sch Eng, Fracture & Reliabil Res Inst, Aoba Ku, Sendai, Miyagi 980, Japan
来源
14TH INTERNATIONAL CONFERENCE ON ELECTRONIC MATERIALS AND PACKAGING (EMAP 2012) | 2012年
关键词
GROWTH;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A new highly sensitive strain sensor has been developed by applying the strain-induced change of the electrical conductivity of multi-walled carbon nanotubes (MWCNTs). The electric conductivity of MWCNTs changes drastically under uni-axial strain because of the drastic change of their electronic band gap. Therefore, the local strain distribution can be detected by measuring the change of the electric resistance of MWCNTs under strain. In order to design a new sensor using MWCNTs, a method for controlling the shape of the MWCNTs was developed by applying a chemical vapor deposition (CVD) technique. It was found that the shape of the grown MWCNTs can be controlled by changing the average thickness of the catalyst layer and the growth temperature. The electrical resistance of the grown MWCNT bundle changed almost linearly with the applied uniaxial compressive strain, and obtained maximum strain sensitivity was about 10%/1000-strain (gauge factor: 100). A two-dimensional strain sensor, which consisted of area-arrayed fine bundles of MWCNTs, was developed by using MEMS technology. Under the application of compressive strain, the electric resistance was confirmed to increase almost linearly with the applied strain.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] Highly uniform hole spacing micro brushes based on aligned carbon nanotube arrays
    Yang, Zhi
    Zhu, Xingzhong
    Huang, Xiaolu
    Cheng, Yingwu
    Liu, Yun
    Geng, Huijuan
    Wu, Yue
    Su, Yanjie
    Wei, Hao
    Zhang, Yafei
    NANOSCALE RESEARCH LETTERS, 2013, 8 : 1 - 6
  • [42] A highly sensitive ethanol sensor based on mesoporous ZnO-SnO2 nanofibers
    Song, Xiaofeng
    Wang, Zhaojie
    Liu, Yongben
    Wang, Ce
    Li, Lijuan
    NANOTECHNOLOGY, 2009, 20 (07)
  • [43] Highly sensitive non-enzymatic glucose sensor based on copper oxide nanorods
    Jasim, Haneen Ali
    Dakhil, Osama Abdul Azeez
    JOURNAL OF NANOPARTICLE RESEARCH, 2022, 24 (11)
  • [44] ZnO-NiO hetero-nanostructures as highly sensitive and selective triethylamine sensor
    Guo, Ting
    Luo, Yidong
    Zhang, Yujun
    Lin, Yuan-Hua
    Nan, Ce-Wen
    JOURNAL OF APPLIED PHYSICS, 2014, 116 (04)
  • [45] Rose-like CuO nanostructures for highly sensitive glucose chemical sensor application
    Kim, Sang Hoon
    Umar, Ahmad
    Hwang, Sang-Woon
    CERAMICS INTERNATIONAL, 2015, 41 (08) : 9468 - 9475
  • [46] Contacting individual graphene nanoribbons using carbon nanotube electrodes
    Zhang, Jian
    Qian, Liu
    Barin, Gabriela Borin
    Daaoub, Abdalghani H. S.
    Chen, Peipei
    Muellen, Klaus
    Sangtarash, Sara
    Ruffieux, Pascal
    Fasel, Roman
    Sadeghi, Hatef
    Zhang, Jin
    Calame, Michel
    Perrin, Mickael L. L.
    NATURE ELECTRONICS, 2023, 6 (08) : 572 - 581
  • [47] Atomic matching catalysis to realize a highly selective and sensitive biomimetic uric acid sensor
    Shi, Zhuanzhuan
    Li, Xiaoli
    Yu, Ling
    Wu, Xiaoshuai
    Wu, Jinggao
    Guo, Chunxian
    Li, Chang Ming
    BIOSENSORS & BIOELECTRONICS, 2019, 141
  • [48] Numerical Simulation of Highly Sensitive Ga2O3 Pressure Sensor
    Than, Phuc Hong
    Dao, Tuan Ngoc
    Takaki, Yasushi
    PHYSICA STATUS SOLIDI A-APPLICATIONS AND MATERIALS SCIENCE, 2024, 221 (03):
  • [49] A highly sensitive non-enzymatic glucose electrochemical sensor based on NiO nanohives
    Thi Oanh Vu
    Thi Xuan Chu
    Duc Hoa Nguyen
    ADVANCES IN NATURAL SCIENCES-NANOSCIENCE AND NANOTECHNOLOGY, 2021, 12 (04)
  • [50] Predictive Synthesis of Freeform Carbon Nanotube Microarchitectures by Strain-Engineered Chemical Vapor Deposition
    Park, Sei Jin
    Zhao, Hangbo
    Kim, Sanha
    De Volder, Michael
    Hart, A. John
    SMALL, 2016, 12 (32) : 4393 - 4403