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Updated: Sep 13, 2025

Writing Bragg Gratings in Multicore Fibers
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Rapid and Accurate Shape-Sensing Method Using a Multi-Core Fiber Bragg Grating-Based Optical Fiber.

Georgios Violakis1, Nikolaos Vardakis1, Zhenyu Zhang2

  • 1School of Electrical and Computer Engineering, Hellenic Mediterranean University, Estavromenos, 71410 Heraklion, Greece.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
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This summary is machine-generated.

This study introduces an efficient method for reconstructing the 3D shape of bent optical fibers using Fiber Bragg Grating (FBG) sensors. The technique achieves sub-millimeter accuracy for real-time position tracking without complex computations.

Area of Science:

  • Optoelectronics and Photonics
  • Sensor Technology
  • Robotics and Control Systems

Background:

  • Shape-sensing optical fibers are crucial for flexible navigation and deformation monitoring.
  • Multi-core Fiber Bragg Grating (FBG) sensors provide a compact and robust platform for shape reconstruction.

Purpose of the Study:

  • To develop a computationally efficient method for determining the 3D tip position of bent multi-core FBG-based optical fibers.
  • To enable real-time shape estimation using a novel polynomial approximation approach.

Main Methods:

  • A second-order polynomial approximation of the fiber's shape is employed.
  • Calibration involves fitting polynomial coefficients to known bends and modeling them as a function of curvature using exponential decay.
  • Real-time estimation relies solely on curvature measurements, avoiding iterative solutions.
Keywords:
multi-core optical fibersoptical fibersshape reconstructionshape sensing

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Last Updated: Sep 13, 2025

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Main Results:

  • The method achieves sub-millimeter accuracy (<0.1 mm) over a 4.5 mm displacement range.
  • Validation was performed using miniaturized test structures.
  • The approach demonstrated high accuracy and computational efficiency.

Conclusions:

  • The proposed method offers a simple and accurate solution for 3D fiber tip position determination.
  • Its efficiency makes it suitable for embedded or edge-computing applications.
  • Potential applications include confined navigation, structural inspection, and medical robotics.