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Bending sensor combining multicore fiber with a mode-selective photonic lantern.

Amy Van Newkirk, J E Antonio-Lopez, Amado Velazquez-Benitez

    Optics Letters
    |November 14, 2015
    PubMed
    Summary

    This study introduces a novel bending sensor using a photonic lantern and multicore fiber. The sensor achieves high sensitivity to bending curvature and direction without spectral analysis.

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    Area of Science:

    • Optoelectronics
    • Fiber Optics
    • Sensor Technology

    Background:

    • Optical fiber sensors are crucial for various monitoring applications.
    • Existing bending sensors often require complex spectral analysis or lack directional sensitivity.
    • Multicore fibers offer unique light propagation properties sensitive to external stimuli.

    Purpose of the Study:

    • To demonstrate a novel bending sensor utilizing a mode-selective photonic lantern and multicore fiber.
    • To achieve high sensitivity to bending curvature and direction without spectral measurements.
    • To evaluate the sensor's performance for both large and small curvature measurements.

    Main Methods:

    • A three-core fiber section was used as the bend-sensitive element.
    • The multicore fiber was spliced to a few-mode fiber to excite specific modes.
    • A mode-selective photonic lantern demultiplexed the guided modes for relative power measurement.

    Main Results:

    • The sensor exhibited high sensitivity to bending curvature, with relative power shifts up to 80% at ~20 cm radii.
    • Directional sensitivity was demonstrated experimentally and through numerical simulations.
    • Effective sensing was observed for bending radii ranging from centimeters to meters.

    Conclusions:

    • The proposed photonic lantern and multicore fiber sensor offers a sensitive and directional bending measurement solution.
    • The system's ability to perform measurements without spectral analysis simplifies implementation.
    • This technology is suitable for diverse applications requiring precise curvature monitoring.