Highly stretchable and sensitive strain sensors based on carbon nanotube–elastomer nanocomposites: the effect of environmental factors on strain sensing performance

2020 ◽  
Vol 8 (18) ◽  
pp. 6185-6195 ◽  
Author(s):  
Mohammad Nankali ◽  
Norouz Mohammad Nouri ◽  
Mahdi Navidbakhsh ◽  
Nima Geran Malek ◽  
Mohammad Amin Amindehghan ◽  
...  

The impact of environmental parameters on the sensing behavior of carbon nanotube–elastomer nanocomposite strain sensors has been investigated, revealing significant effect of temperature and humidity variations on the sensing performance.

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%).


Author(s):  
Jiancheng Dong ◽  
Le Li ◽  
Chao Zhang ◽  
Piming Ma ◽  
Weifu Dong ◽  
...  

Conductive elastomer composites are widely recognized as prospective strain sensing materials in soft robotics and biomedical engineering due to their high elasticity and lightweight. However, to achieve high-performance strain sensors...


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yong Kwan Lim ◽  
Oh Joo Kweon ◽  
Hye Ryoun Kim ◽  
Tae-Hyoung Kim ◽  
Mi-Kyung Lee

AbstractCorona virus disease 2019 (COVID-19) has been declared a global pandemic and is a major public health concern worldwide. In this study, we aimed to determine the role of environmental factors, such as climate and air pollutants, in the transmission of COVID-19 in the Republic of Korea. We collected epidemiological and environmental data from two regions of the Republic of Korea, namely Seoul metropolitan region (SMR) and Daegu-Gyeongbuk region (DGR) from February 2020 to July 2020. The data was then analyzed to identify correlations between each environmental factor with confirmed daily COVID-19 cases. Among the various environmental parameters, the duration of sunshine and ozone level were found to positively correlate with COVID-19 cases in both regions. However, the association of temperature variables with COVID-19 transmission revealed contradictory results when comparing the data from SMR and DGR. Moreover, statistical bias may have arisen due to an extensive epidemiological investigation and altered socio-behaviors that occurred in response to a COVID-19 outbreak. Nevertheless, our results suggest that various environmental factors may play a role in COVID-19 transmission.


2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Waris Obitayo ◽  
Tao Liu

The use of carbon nanotubes for piezoresistive strain sensors has acquired significant attention due to its unique electromechanical properties. In this comprehensive review paper, we discussed some important aspects of carbon nanotubes for strain sensing at both the nanoscale and macroscale. Carbon nanotubes undergo changes in their band structures when subjected to mechanical deformations. This phenomenon makes them applicable for strain sensing applications. This paper signifies the type of carbon nanotubes best suitable for piezoresistive strain sensors. The electrical resistivities of carbon nanotube thin film increase linearly with strain, making it an ideal material for a piezoresistive strain sensor. Carbon nanotube composite films, which are usually fabricated by mixing small amounts of single-walled or multiwalled carbon nanotubes with selected polymers, have shown promising characteristics of piezoresistive strain sensors. Studies also show that carbon nanotubes display a stable and predictable voltage response as a function of temperature.


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

Nanoscale ◽  
2019 ◽  
Vol 11 (13) ◽  
pp. 5884-5890 ◽  
Author(s):  
Zuoli He ◽  
Gengheng Zhou ◽  
Joon-Hyung Byun ◽  
Sang-Kwan Lee ◽  
Moon-Kwang Um ◽  
...  

In this manuscript, we report a novel highly sensitive wearable strain sensor based on a highly stretchable multi-walled carbon nanotube (MWCNT)/Thermoplastic Polyurethane (TPU) fiber obtained via a wet spinning process.


2017 ◽  
Vol 259 ◽  
pp. 44-49 ◽  
Author(s):  
Tim Giffney ◽  
Estelle Bejanin ◽  
Agee S. Kurian ◽  
Jadranka Travas-Sejdic ◽  
Kean Aw

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Rawati Panjaitan

<p>Gunung Meja is one of the forest areas in Manokwari, West Papua province. It has been designated as a recreational forest since 1980. Gunung Meja covers 460.25 ha and is located at 75–175 m a.s.l. Gunung Meja is directly adjacent to residential areas, therefore the community activities, such as felling trees and gardening, was conducted in the area frequently. These can interfered the existence of flora and fauna in the area, included butterflies. To reveal the impact of intrusive human activities on the forest area, it was necessary to obtain basic information about what flora and fauna are present there. This study was aim to record the butterfly community in the area. Observations of butterflies were done by scan sampling on primary forest, secondary forest, gardens and settlements. Sampling and measurement of environmental parameters were performed in the morning and afternoon for seven weeks. This study recorded 113 species and 4.049 individuals of butterflies. There were 75 species in primary forest, 77 species in secondary forest, and 63 species in gardens and settlements. The number of species found was still increasing until the last day of the observation. Shannon-Wiener index (H’) calculation showed that diversity in primary and secondary forests were 3.48 and 3.50, respectively, thus classified as high (H’ &gt; 3). Sorensen index calculation (C<em><sub>N</sub></em>) showed high value reaching 0.5 quantitatively. The numbers of butterflies both species number and individual number, observed in the morning were higher than those in the afternoon. There was significant effect (P &lt; 0.05) of temperature on the number of individual butterflies. The result of PCA analysis showed that the environmental parameters in primary forest, secondary forest, gardens and settlements influenced the number of species and number of individuals.</p>


2015 ◽  
Vol 25 (27) ◽  
pp. 4228-4236 ◽  
Author(s):  
Yu Ra Jeong ◽  
Heun Park ◽  
Sang Woo Jin ◽  
Soo Yeong Hong ◽  
Sang-Soo Lee ◽  
...  

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