Characterization of the microstructures of specialty optical fibers for electric-field sensing by propagation-based x-ray phase-contrast microtomographyVisa övriga samt affilieringar
2021 (Engelska)Ingår i: Measurement science and technology, ISSN 0957-0233, E-ISSN 1361-6501, Vol. 32, nr 6, artikel-id 065401Artikel i tidskrift (Refereegranskat) Published
Abstract [en]
In this work, we present a quantitative (statistical) 3D morphological characterization of optical fibers used in electric-field sensing. The characterization technique employs propagation-based x-ray phase-contrast microcomputed tomography (micro-CT). In particular, we investigate specialty optical fibers that contain microstructured holes that are electro-optically modified by thermal poling to induce second-order nonlinear effects (SONE). The efficiency of the SONE is reflected in the characterization parameter, Vπ, which is highly dependent on the dimensions of the fiber. The fiber microstructures must be uniform to support the fabrication of reproducible devices. The results obtained using the micro-CT technique show that uncertainty of ±1.7% arises in the determination of the expected value of the voltage that causes a change in the phase of the electromagnetic wave equal to π rad (Vπ ), demonstrating a great advantage, compared with other techniques e.g. SEM, which would need at least 1000 images of the cross-section of an optical fiber, taken at different points, making the process more expensive and time-consuming.
Ort, förlag, år, upplaga, sidor
IOP Publishing Ltd , 2021. Vol. 32, nr 6, artikel-id 065401
Nyckelord [en]
optical fiber, phase contrast micro-CT, poling, synchrotron radiation, Electric fields, Microstructure, Optical fiber fabrication, Optical fibers, X rays, Characterization techniques, Electric field sensing, Fiber microstructures, Micro computed tomography (micro-CT), Morphological characterization, Second-order nonlinear effects, Specialty optical fibers, X ray phase contrast, Computerized tomography
Nationell ämneskategori
Radiologi och bildbehandling
Identifikatorer
URN: urn:nbn:se:ri:diva-53050DOI: 10.1088/1361-6501/abd365Scopus ID: 2-s2.0-85103839691OAI: oai:DiVA.org:ri-53050DiVA, id: diva2:1557245
2021-05-252021-05-252021-05-25Bibliografiskt granskad