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High Sensitivity Strain Sensors Using Four-Core Fibers through a Corner-Core Excitation.
Suo, Lina; Peng, Ya-Pei; Yao, Cheng-Kai; Ren, Shijie; Lu, Xinhe; Chen, Nan-Kuang.
Affiliation
  • Suo L; School of Physics Sciences and Information Technology, Liaocheng University, Liaocheng 252000, China.
  • Peng YP; College of Engineering Physics, Shenzhen Technology University, Shenzhen 518000, China.
  • Yao CK; NK Photonics Ltd., Jinan 250119, China.
  • Ren S; Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
  • Lu X; School of Physics Sciences and Information Technology, Liaocheng University, Liaocheng 252000, China.
  • Chen NK; NK Photonics Ltd., Jinan 250119, China.
Micromachines (Basel) ; 13(3)2022 Mar 11.
Article in En | MEDLINE | ID: mdl-35334723
ABSTRACT
A weakly-coupled multicore fiber can generate supermodes when the multi-cores are closer to enter the evanescent power coupling region. The high sensitivity strain sensors using tapered four-core fibers (FCFs) were demonstrated. The fan-in and fan-out couplers were used to carry out light coupling between singlemode fibers and the individual core of the FCFs. A broadband lightsource from superlumminescent diodes (SLDs) was launched into one of the four cores arranged in a rectangular configuration. When the FCF was substantially tapered, the asymmetric supermodes were produced to generate interferences through this corner-core excitation scheme. During tapering, the supermodes were excited based on a tri-core structure initially and then transited to a rectangular quadruple-core structure gradually to reach the sensitivity of 185.18 pm/µÔ‘ under a tapered diameter of 3 µm. The asymmetric evanescent wave distribution due to the corner-core excitation scheme is helpful to increase the optical path difference (OPD) between supermodes for improving the strain sensitivity.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Micromachines (Basel) Year: 2022 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Micromachines (Basel) Year: 2022 Document type: Article Affiliation country: China