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Related Concept Videos

Writing Bragg Gratings in Multicore Fibers08:48

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Related Experiment Video

Updated: Jan 19, 2026

Writing Bragg Gratings in Multicore Fibers
08:48

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Published on: April 20, 2016

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Fiber Bragg grating characterization using factorial design.

Nazila Safari Yazd, Damien Kinet, Christophe Caucheteur

    Applied Optics
    |September 11, 2019
    PubMed
    Summary

    This study efficiently assessed fiber Bragg grating properties using a factorial design, revealing sensitivities to temperature, humidity, and strain with minimal experiments. The method accurately quantifies cross-sensitivities for various grating coatings.

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    Area of Science:

    • Optical Engineering
    • Materials Science
    • Experimental Design

    Background:

    • Fiber Bragg gratings (FBGs) are crucial optical sensors.
    • Characterizing FBG responses to multiple environmental stimuli is complex.
    • Efficient experimental designs are needed to minimize resource use.

    Purpose of the Study:

    • To apply a three-variable, two-level factorial design for FBG characterization.
    • To assess FBG sensitivities to simultaneous temperature, humidity, and strain.
    • To quantify cross-sensitivities between these stimuli for different FBG coatings.

    Main Methods:

    • Inscribed three uniform FBGs in single-mode optical fiber via interferometric technique.
    • Recoated two FBGs with acrylate and polyimide, leaving one bare.
    • Utilized a factorial design with eight measurement points to determine sensitivities.

    Main Results:

    • Computed temperature, strain, and humidity sensitivities with high accuracy.
    • Quantified cross-sensitivities between all tested stimuli.
    • Achieved temperature sensitivity of ~10 pm/°C and strain sensitivity of ~1.1 pm/µε.
    • Determined humidity sensitivity for polyimide-coated FBGs at ~4.47 pm/%RH.

    Conclusions:

    • The factorial design provides a highly efficient method for FBG characterization.
    • Results are comparable to traditional methods, demonstrating design validity.
    • This approach enables precise quantification of multi-stimuli responses and cross-sensitivities.