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Published on: April 26, 2014
Parallel Farby-Perot Interferometers in an Etched Multicore Fiber for Vector Bending Measurements
Kang Wang1, Wei Ji1, Cong Xiong1
1Advanced Fiber Devices and Systems Group, Key Laboratory of Micro and Nano Photonic Structures (MoE), Key Laboratory for Information Science of Electromagnetic Waves (MoE), Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, School of Information Science and Technology, Fudan University, Shanghai 200433, China.
This study presents a novel temperature-insensitive vector bending sensor using parallel Fabry-Perot interferometers (FPIs) in multicore fiber (MCF). The sensor accurately measures bending curvature and direction with high visibility and low error, advancing structural health monitoring.
Area of Science:
- Fiber optics
- Optical sensing
- Nanotechnology
Background:
- Vector bending sensors are crucial for applications like structural health monitoring and shape sensing.
- Existing sensors often face challenges with temperature sensitivity and fabrication complexity.
Purpose of the Study:
- To develop a temperature-insensitive vector bending sensor.
- To demonstrate high performance in curvature and direction detection using parallel Fabry-Perot interferometers (FPIs) in multicore fiber (MCF).
Main Methods:
- Fabrication of parallel FPIs in MCF via etching and splicing.
- Utilizing dip wavelength shifts in off-diagonal outer-core FPIs for reconstruction.
- Characterization of sensitivity, discrimination, and temperature insensitivity.
Main Results:
- Achieved significant interferometric visibility (>20 dB fringe contrast).
- Demonstrated high curvature sensitivity (0.207 nm/m⁻¹) with strong bending-direction discrimination.
- Reported low reconstruction errors: ~4.5% for magnitude and <2.0° for orientation.
- Exhibited temperature insensitivity (<10 pm/°C).
Conclusions:
- The proposed sensor offers a simple, effective, and compact solution for vector bending measurement.
- High visibility, accuracy, and temperature insensitivity accelerate MCF-based FPI applications.
- This technology holds promise for advanced structural health monitoring and deformation measurement.
