Results 241 to 250 of about 324,422 (279)

Prospective observational study of 2 wearable strain sensors for measuring the respiratory rate. [PDF]

Medicine (Baltimore)
Sato H, Nagano T, Izumi S, Yamada J, Hazama D, Katsurada N, Yamamoto M, Tachihara M, Nishimura Y, Kobayashi K.   +9 more
europepmc   +1 more source

Development of green synthesised AgNPs decorated on MWCNT modified guar gum-based self-healing hydrogel for strain sensors. [PDF]

Sci Rep
Khan A, Nichakornpong N, Wongsalam T, Prathumrat P, Likitaporn C, Kasemsiri P, Okhawilai M.   +6 more
europepmc   +1 more source

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Nanocrack-based strain sensors

Journal of Materials Chemistry C, 2021
This review presents the typical fabrication processes, sensing mechanism, performance, applications and current challenges of nanocrack-based strain sensors (nCBSSs).
Chi Zhang, Jining Sun, Yao Lu, Junshan Liu   +3 more
openaire   +2 more sources

Silica microspheres array strain sensor

Optics Letters, 2014
An optical fiber sensor based on arrays of silica microspheres is proposed. The microspheres are produced separately using a fusion splicer and then also connected in series by fusion splicing. Three different sensors are presented, differing by the number of microspheres.
Marta S, Ferreira, José L, Santos, Orlando, Frazão   +2 more
openaire   +2 more sources

Carbon nanotube yarn strain sensors

Nanotechnology, 2010
Carbon nanotube (CNT) based sensors are often fabricated by dispersing CNTs into different types of polymer. In this paper, a prototype carbon nanotube (CNT) yarn strain sensor with excellent repeatability and stability for in situ structural health monitoring was developed.
Haibo, Zhao, Yingying, Zhang, Philip D, Bradford, Qian, Zhou, Quanxi, Jia, Fuh-Gwo, Yuan, Yuntian, Zhu   +6 more
openaire   +2 more sources

Graphene/polydimethylsiloxane nanocomposite strain sensor

Review of Scientific Instruments, 2013
The objective of this research is to fabricate graphene nanopowder composites based on polydimethylsiloxane (PDMS) and to characterize the gauge factor of the graphene/PDMS composites for the use of strain sensors. The fabrication of graphene/PDMS composites can be accomplished by simple sonication and micro molding processes.
Bo, Wang, Bong-Kee, Lee, Min-Joo, Kwak, Dong-Weon, Lee   +3 more
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Strain sensor using twisted optical fibers

Optics Letters, 1984
A novel sensor using twisted optical fibers is proposed to detect distributed tensile strain. This sensor converts tensile strain to optical loss. The relation between tensile strain and optical loss is modeled and experimentally confirmed for uniform tensile strain.
T, Abe, Y, Mitsunaga, H, Koga
openaire   +2 more sources

Strain-induced magnetoresistance for novel strain sensors

Journal of Applied Physics, 2010
The strain-induced magnetoresistance (MR) has been investigated in detail by simulating the spin-rotation in spin-valve structures. The results show that the strain-induced anisotropy can be utilized to control the relative orientation of the spins in the two adjacently arranged ferromagnetic layers because each layer responds to the external strain ...
Xiaoyong Xu, Mei Li, Jingguo Hu, Jun Dai, Weiwei Xia   +4 more
openaire   +1 more source

Piezoresistive Strain Sensors

2009
In contrast to the fixed strain incorporated in logic devices for a fixed or constant improvement in device performance, piezoresistive strain sensors respond to variable strain through a modulation in the device resistance. The underlying physics of performance improvement in logic devices and strain transduction in piezoresistive strain sensors is ...
Yongke Sun, Toshikazu Nishida, Scott E. Thompson   +2 more
openaire   +1 more source

SAW OFC strain sensor

2009 IEEE International Ultrasonics Symposium, 2009
This paper presents results for a 250MHZ orthogonal frequency coded (OFC) surface acoustic wave (SAW) cantilever device on YZ LiNbO 3 . A 1-D model is presented which predicts the variation in the wave velocity with applied strain. A FEM analysis is conducted which verifies the strain on the cantilever and supports the 1-D model predictions.
Roller, M., Malocha, D. C., Vaidyanathan, R.   +2 more
openaire   +2 more sources