3D printable composite dough for stretchable, ultrasensitive and body-patchable strain sensors

Nanoscale ◽  
2017 ◽  
Vol 9 (31) ◽  
pp. 11035-11046 ◽  
Author(s):  
Ju Young Kim ◽  
Seulgi Ji ◽  
Sungmook Jung ◽  
Beyong-Hwan Ryu ◽  
Hyun-Suk Kim ◽  
...  

We demonstrate 3D-printed, highly-sensitive strain sensor devices by formulating the 3D-printable dough including hybrid carbon composites.


Nanomaterials ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1701
Author(s):  
Ken Suzuki ◽  
Ryohei Nakagawa ◽  
Qinqiang Zhang ◽  
Hideo Miura

In this study, a basic design of area-arrayed graphene nanoribbon (GNR) strain sensors was proposed to realize the next generation of strain sensors. To fabricate the area-arrayed GNRs, a top-down approach was employed, in which GNRs were cut out from a large graphene sheet using an electron beam lithography technique. GNRs with widths of 400 nm, 300 nm, 200 nm, and 50 nm were fabricated, and their current-voltage characteristics were evaluated. The current values of GNRs with widths of 200 nm and above increased linearly with increasing applied voltage, indicating that these GNRs were metallic conductors and a good ohmic junction was formed between graphene and the electrode. There were two types of GNRs with a width of 50 nm, one with a linear current–voltage relationship and the other with a nonlinear one. We evaluated the strain sensitivity of the 50 nm GNR exhibiting metallic conduction by applying a four-point bending test, and found that the gauge factor of this GNR was about 50. Thus, GNRs with a width of about 50 nm can be used to realize a highly sensitive strain sensor.



Nanoscale ◽  
2018 ◽  
Vol 10 (28) ◽  
pp. 13599-13606 ◽  
Author(s):  
Binghao Liang ◽  
Zhiqiang Lin ◽  
Wenjun Chen ◽  
Zhongfu He ◽  
Jing Zhong ◽  
...  

A highly stretchable and sensitive strain sensor based on a gradient carbon nanotube was developed. The strain sensors show an unprecedented combination of both high sensitivity (gauge factor = 13.5) and ultra-stretchability (>550%).



RSC Advances ◽  
2019 ◽  
Vol 9 (68) ◽  
pp. 39958-39964
Author(s):  
Xinxiu Wu ◽  
Fangfang Niu ◽  
Ao Zhong ◽  
Fei Han ◽  
Yun Chen ◽  
...  

Silver nanoparticle-decorated three-dimensional graphene foams were prepared and packaged with half-cured PMDS films, forming a special “hollow packaged” structure that exhibited high sensitivity for wearable strain sensor applications.



Nanoscale ◽  
2018 ◽  
Vol 10 (5) ◽  
pp. 2191-2198 ◽  
Author(s):  
Jun-Hong Pu ◽  
Xiang-Jun Zha ◽  
Min Zhao ◽  
Shengyao Li ◽  
Rui-Ying Bao ◽  
...  

A highly sensitive strain sensor with end-to-end CNT networks and showing a high gauge factor (248) at small strain (5%) is fabricated.



2017 ◽  
Vol 5 (39) ◽  
pp. 10167-10175 ◽  
Author(s):  
Fei Han ◽  
Jinhui Li ◽  
Songfang Zhao ◽  
Yuan Zhang ◽  
Wangping Huang ◽  
...  

A highly stretchable and ultra-sensitive strain sensor based on a nickel nanoparticle-coated graphene polyurethane sponge (Ni@GPUS) ternary hybrid material was fabricated.



2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Chan-Jae Lee ◽  
Keum Hwan Park ◽  
Chul Jong Han ◽  
Min Suk Oh ◽  
Banseok You ◽  
...  


Author(s):  
Kanji Yumoto ◽  
Ken Suzuki ◽  
Hideo Miura

A new type tactile sensor with spatial resolution less than 1 mm and the minimum pressure sensitivity less than 10 kPa was proposed by applying MWCNTs (Multi-Walled Carbon Nanotubes). The sensor was embedded into a highly deformable flexible substrate (PDMS: Polydimethylsiloxane) and the obtained gauge factor of the developed sensor was about 5. Since the electronic properties of MWCNTs vary drastically depending on their deformation under mechanical stress, it is important to make appropriate aspect ratio of MWCNTs for improving their stress-sensitivity. The aspect ratio of MWCNTs are mainly dominated by their growth condition such as the average thickness of catalyst layer, growth temperature, pressure of resource gases and so on. Thus, the optimum growth condition was investigated for forming the MWCNTs with high aspect ratio, in other words, high pressure sensitivity. In addition, in this study, the authors fabricated high quality carbon nano-materials to develop highly sensitive strain sensor. A thermal CVD synthesis process of MWCNTs was developed by using acetylene gas. After the synthesis of MWCNTs, flexible isolation material (PDMS) was coated around the grown MWCNT. Then, the interconnection film was deposited by sputtering. After that, PDMS was coated again to fabricate an upper protection layer. Finally, the bottom interconnection layer was sputtered and patterned. The change of the electrical resistance of the grown MWCNTs was measured by applying a compression test in the load range from 0 to 10 mN. It was found that the electrical resistance of the MWCNTs bundle increased almost linearly with the applied compressive load and this sensor showed the high load sensitivity of 10 mN that is higher than human fingers.



2018 ◽  
Vol 29 (23) ◽  
pp. 235501 ◽  
Author(s):  
Yang Gao ◽  
Xiaoliang Fang ◽  
Jianping Tan ◽  
Ting Lu ◽  
Likun Pan ◽  
...  


Synlett ◽  
2021 ◽  
Author(s):  
Chao Lu ◽  
Xi Chen

Flexible strain sensors with superior flexibility and high sensitivity are critical to artificial intelligence. And it is favorable to develop highly sensitive strain sensors with simple and cost effective method. Here, we have prepared carbon nanotubes enhanced thermal polyurethane nanocomposites with good mechanical and electrical properties for fabrication of highly sensitive strain sensors. The nanomaterials have been prepared through simple but effective solvent evaporation method, and the cheap polyurethane has been utilized as main raw materials. Only a small quantity of carbon nanotubes with mass content of 5% has been doped into polyurethane matrix with purpose of enhancing mechanical and electrical properties of the nanocomposites. As a result, the flexible nanocomposite films present highly sensitive resistance response under external strain stimulus. The strain sensors based on these flexible composite films deliver excellent sensitivity and conformality under mechanical conditions, and detect finger movements precisely under different bending angles.



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