Literature DB >> 31498581

A Highly Sensitive and Stretchable Yarn Strain Sensor for Human Motion Tracking Utilizing a Wrinkle-Assisted Crack Structure.

Hongling Sun1, Kun Dai1, Wei Zhai1, Yujie Zhou1, Jianwei Li2, Guoqiang Zheng1, Bo Li3, Chuntai Liu1, Changyu Shen1.   

Abstract

With the booming development of flexible electronics, the need for a multifunctional and high-performance strain sensor has become increasingly important. Although significant progress has been made in designing new microstructures with sensing capabilities, the tradeoff between sensitivity and workable strain range has prevented the development of a strain sensor that is both highly sensitive and also stretchable. Here, a wrinkle-assisted crack microstructure is designed and fabricated via prestretching the multiwalled carbon nanotubes ink (CNTs ink)/polyurethane yarn (PU yarn). This designed structure originates from the mismatch in Young's modulus and elasticity between the CNTs ink and PU yarn during the stretching process. The structure endows the sensor with combined characteristics of a high sensitivity toward stretching strain (gauge factor of 1344.1 at 200% strain), an ultralow limit of detection (<0.1% strain), excellent durability (>10 000 cycles), a wide workable strain range (0-200%), and outstanding response and stability toward bending deformation. This high-performance strain sensor will see widespread improved performance across applications such as intelligent fabrics, electrical skins, and fatigue detection for full-range human motion monitoring.

Entities:  

Keywords:  carbon nanotubes ink; high sensitivity; wide workable strain range; wrinkle-assisted crack microstructure; yarn strain sensor

Mesh:

Substances:

Year:  2019        PMID: 31498581     DOI: 10.1021/acsami.9b09229

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  7 in total

1.  Computational study of the water-driven graphene wrinkle life-cycle towards applications in flexible electronics.

Authors:  Jatin Kashyap; Eui-Hyeok Yang; Dibakar Datta
Journal:  Sci Rep       Date:  2020-07-09       Impact factor: 4.379

2.  Ultrasensitive Strain Sensor Based on Pre-Generated Crack Networks Using Ag Nanoparticles/Single-Walled Carbon Nanotube (SWCNT) Hybrid Fillers and a Polyester Woven Elastic Band.

Authors:  Yelin Ko; Ji-Seon Kim; Chi Cuong Vu; Jooyong Kim
Journal:  Sensors (Basel)       Date:  2021-04-04       Impact factor: 3.576

Review 3.  Recent Progress in Conducting Polymer Composite/Nanofiber-Based Strain and Pressure Sensors.

Authors:  Loganathan Veeramuthu; Manikandan Venkatesan; Jean-Sebastien Benas; Chia-Jung Cho; Chia-Chin Lee; Fu-Kong Lieu; Ja-Hon Lin; Rong-Ho Lee; Chi-Ching Kuo
Journal:  Polymers (Basel)       Date:  2021-12-07       Impact factor: 4.329

4.  Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction.

Authors:  Haitao Yang; Jiali Li; Xiao Xiao; Jiahao Wang; Yufei Li; Kerui Li; Zhipeng Li; Haochen Yang; Qian Wang; Jie Yang; John S Ho; Po-Len Yeh; Koen Mouthaan; Xiaonan Wang; Sahil Shah; Po-Yen Chen
Journal:  Nat Commun       Date:  2022-09-09       Impact factor: 17.694

5.  An ultrasensitive and stretchable strain sensor based on a microcrack structure for motion monitoring.

Authors:  Hao Sun; Xudong Fang; Ziyan Fang; Libo Zhao; Bian Tian; Prateek Verma; Ryutaro Maeda; Zhuangde Jiang
Journal:  Microsyst Nanoeng       Date:  2022-09-29       Impact factor: 8.006

6.  Sensing mechanism of a flexible strain sensor developed directly using electrospun composite nanofiber yarn with ternary carbon nanomaterials.

Authors:  Jian Tang; Yuting Wu; Shidong Ma; Tao Yan; Zhijuan Pan
Journal:  iScience       Date:  2022-09-20

7.  A Flexible Strain Sensor Based on the Porous Structure of a Carbon Black/Carbon Nanotube Conducting Network for Human Motion Detection.

Authors:  Peng Zhang; Yucheng Chen; Yuxia Li; Yao Zhang; Jian Zhang; Liangsong Huang
Journal:  Sensors (Basel)       Date:  2020-02-20       Impact factor: 3.576

  7 in total

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