Engineered cladding scatterers in optical fiber for 3D deformation encoding

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Abstract Fiber-optic deformation sensors offer a promising solution for precise navigation in soft robotics. However, the inherent limitations of traditional sensing mechanisms present a persistent trade-off between sensor miniaturization and spatial resolution. Here, we introduce a novel fiber-based 3D deformation encoding technique enabled by an array of misplaced orthogonal eccentric scatterers (MOESs) inscribed in the cladding. The Rayleigh scattering intensity from each MOES depends on local fiber curvature, and the orthogonal configuration enables spatially resolved deformation data to be compactly encoded within a single-mode fiber. We have developed an advanced reel-to-reel femtosecond laser direct writing technique to fabricate the MOESs array fiber. Experimental results demonstrate accurate 2D bending and full 3D deformation reconstruction. Moreover, the proposed energy-based reconstruction algorithm exhibits strong immunity to environmental disturbances. These advancements mark a significant step toward miniaturized, low-cost, and high-precision fiber-optic solutions for tracking structural deformations in complex environments.
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Engineered cladding scatterers in optical fiber for 3D deformation encoding | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Engineered cladding scatterers in optical fiber for 3D deformation encoding Ruohui Wang, Pengtao Luo, Fengyi Chen, Xueguang Qiao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6556246/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Fiber-optic deformation sensors offer a promising solution for precise navigation in soft robotics. However, the inherent limitations of traditional sensing mechanisms present a persistent trade-off between sensor miniaturization and spatial resolution. Here, we introduce a novel fiber-based 3D deformation encoding technique enabled by an array of misplaced orthogonal eccentric scatterers (MOESs) inscribed in the cladding. The Rayleigh scattering intensity from each MOES depends on local fiber curvature, and the orthogonal configuration enables spatially resolved deformation data to be compactly encoded within a single-mode fiber. We have developed an advanced reel-to-reel femtosecond laser direct writing technique to fabricate the MOESs array fiber. Experimental results demonstrate accurate 2D bending and full 3D deformation reconstruction. Moreover, the proposed energy-based reconstruction algorithm exhibits strong immunity to environmental disturbances. These advancements mark a significant step toward miniaturized, low-cost, and high-precision fiber-optic solutions for tracking structural deformations in complex environments. Physical sciences/Optics and photonics/Applied optics/Optical sensors Physical sciences/Optics and photonics/Optical techniques/Imaging and sensing Full Text Additional Declarations There is no conflict of interest Supplementary Files Supplementarysinformation.docx Engineered cladding scatterers in optical fiber for 3D deformation encoding Supplementarys information PreparationprocessofMOESs.mp4 Preparation process of MOESs Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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