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Orientation-Dependent Displacement Sensor Using an Inner Cladding Fiber Bragg Grating.

Tingting Yang1, Xueguang Qiao2, Qiangzhou Rong3

  • 1Physics Department, Northwest University, Xi'an 710069, China. ttyang@stumail.nwu.edu.cn.

Sensors (Basel, Switzerland)
|September 15, 2016
PubMed
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A novel fiber optic sensor demonstrates orientation-dependent displacement sensing. This fiber Bragg grating (FBG) device precisely measures bending and orientation using asymmetric cladding grating inscription.

Area of Science:

  • Optoelectronics
  • Fiber Optics
  • Sensor Technology

Background:

  • Fiber Bragg gratings (FBGs) are widely used for sensing applications.
  • Standard FBGs typically exhibit sensitivity to strain and temperature.
  • Developing sensors with orientation and bending sensitivity is crucial for advanced applications.

Purpose of the Study:

  • To demonstrate an orientation-dependent displacement sensor.
  • To investigate the sensing capabilities of a multi-cladding fiber with inscribed gratings.
  • To analyze the influence of asymmetric grating inscription on sensor performance.

Main Methods:

  • Fabrication of a multi-cladding fiber device with core and cladding Fiber Bragg Gratings (FBGs) using a femtosecond laser side-illumination technique.
Keywords:
femtosecond laserinner cladding-FBG inscriptionorientation bending

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  • Interrogation of the device to observe resonance characteristics.
  • Experimental analysis of the sensor's response to bending and orientation changes.

    • Main Results:

    • Successfully demonstrated an orientation-dependent displacement sensor.
    • Achieved two distinct resonances from core and cladding FBGs.
    • Observed that cladding resonance is dependent on fiber bending and exhibits strong orientation dependence due to asymmetric grating distribution.

    Conclusions:

    • The demonstrated sensor offers unique orientation-dependent displacement sensing capabilities.
    • Asymmetric inscription of cladding FBGs is key to achieving orientation sensitivity.
    • This technology holds potential for advanced structural health monitoring and robotics.