High-Sensitivity Torsion Sensor Based on Er³⁺-Doped Multicore Fiber-Ring Laser
This work reports a torsion sensor based on a fiber-ring laser (FRL), whose active element is a 58 cm segment of three inline core erbium-doped fiber (EDF-3C). In this architecture, the multicore fiber simultaneously provides optical gain and torsion transduction. The applied twist alters the inter-core coupling, producing a gain splitting that appears as two laser peaks. The wavelength separation between the peaks encodes the torsion magnitude, whereas their relative powers reveal the twist direction. By fine-tuning the polarization controller, bidirectional operation remained stable over a ±70° range without mode extinction. The differential wavelength shift exhibited linear sensitivities of 0.013 nm/° for negative torsion and 0.019 nm/° for positive torsion. Direction discrimination is further enhanced by analyzing the peak-power difference and is additionally optimized with a function-fitting neural network trained on the measured spectra. The machine learning model achieved R² = 0.9999 and an angular detection limit of 1.28 × 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-4</sup>°.
Authors
- Philippe Roy (ORCID: https://orcid.org/0000-0002-6775-6852)
- Manuel López-Amo (ORCID: https://orcid.org/0000-0002-9399-5398)
- Marko Galarza (ORCID: https://orcid.org/0000-0002-3902-8188)
- Yann Leventoux
- Rosa Ana Pérez-Herrera (ORCID: https://orcid.org/0000-0002-6856-9143)
- Angel I. Correa (ORCID: https://orcid.org/0000-0003-3925-1539)
- Raphaël Jamier (ORCID: https://orcid.org/0000-0001-5238-2408)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Universidad Pública de Navarra (UPNA) (ES)
- Université de Limoges (FR)
- Universidad de Navarra (ES)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1109/jsen.2025.3630833
- Primary Topic
- Advanced Fiber Optic Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agencia Estatal de Investigación