Realization of an embedded fiber Bragg grating-based pressure sensor in fiber-reinforced composites: Embedding techniques and performance characteristics

Jianzhong Hao, Swee Chuan Tjin, Partha Roy Chaudhui, Chin Yi Liaw, Xin Guo, Chao Lu

Research output: Journal article publicationConference articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

The paper describes the design features and characteristics of an embedded fiber Bragg grating (FBG) pressure sensor that has been developed to measure forces applied in the direction perpendicular to the fiber axis. This FBG-based pressure sensor provides an absolute measurement in terms of wavelength shift, which avoids problems of signal-intensity fluctuation often encountered by conventional intensity-modulated or phase-modulated pressure sensors. The initial outcome of our study indicates that direct sensing using bare-FBG is infeasible for real applications due to its non-linearity and limited range of force sensing. However, when the FBG is embedded into some composite material, the sensor exhibits excellent linearity, high stability and reliability over a wider force-sensing range, making it a potentially viable sensing element. When an FBG is embedded into some fiber-reinforced composites, a level of sensing force of up to 60N with a sensitivity of 3.96 pm/N and resolution of 1pm (equivalent to 0.8με) is achievable without causing permanent deformation to the FBG.
Original languageEnglish
Pages (from-to)111-125
Number of pages15
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5279
DOIs
Publication statusPublished - 6 Jul 2004
Externally publishedYes
EventAPOC 2003: Asia-Pacific Optical and Wireless Communications: Optical Fibers and Passive Components - Wuhan, China
Duration: 4 Nov 20036 Nov 2003

Keywords

  • FBG
  • Fiber-reinforced composites
  • Laminate
  • Pressure sensor

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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