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Simultaneous Bending and Twist Measurement using a Simple Multimode Fibre Sensor with Selective Mode Excitation

Liu, Shouju, Feng, Yue, Yue, Yuanli, Wang, Chao (2025) Simultaneous Bending and Twist Measurement using a Simple Multimode Fibre Sensor with Selective Mode Excitation. In: Proceedings: Conference on Lasers and Electro-Optics/Europe (CLEO/Europe 2025) and European Quantum Electronics Conference (EQEC 2025). Optica Publishing Group ISBN 979-8-3315-1252-1. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:114436)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
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https://opg.optica.org/abstract.cfm?URI=CLEO_Europ...

Abstract

Multimode optical fibres (MMFs) have emerged as versatile platforms for sensing applications due to their high sensitivity to various environmental changes, such as temperature, strain, bending, and twist. This sensitivity is primarily attributed to the generation of complex speckle patterns resulting from mode interference within the large fibre core. Several studies have explored the potential of MMFs for sensing. These speckles are highly dynamic and affected by various environmental changes simultaneously, making MMFs promising candidates for multi-parameter sensing. However, a major challenge lies in the fact that there is no direct mapping between the speckle changes and the corresponding sensor values. As a result, advanced machine learning algorithms are typically required to interpret the speckle changes, introducing computational overhead and complexity. To address this limitation, this paper presents a novel learning-free multi-parameter optical sensor using a single MMF. The proposed sensor enables simultaneous bending and twist measurements through a simple and effective approach, eliminating the need for complex speckle demodulation techniques.

Item Type: Conference proceeding
Uncontrolled keywords: Fiber optic sensors; Laser speckle; Machine learning; Multimode fibers; Spatial light modulators; Speckle patterns
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Institutional Unit: Schools > School of Engineering, Mathematics and Physics > Engineering
Former Institutional Unit:
There are no former institutional units.
Depositing User: Chao Wang
Date Deposited: 06 May 2026 12:00 UTC
Last Modified: 06 May 2026 12:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/114436 (The current URI for this page, for reference purposes)

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