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Embedding Optical Fiber Sensors and Applications
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Embedding Optical Fiber Sensors and Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".

Deadline for manuscript submissions: closed (15 April 2023) | Viewed by 2335

Special Issue Editors

Prof. Dr. Arnaldo Leal-Junior

E-Mail Website
Guest Editor
Graduate Program in Electrical Engineering, Federal University of Espirito Santo, Vitoria 29075-910, Brazil
Interests: optical fiber sensors; fiber Bragg gratings; polymer optical fibers; instrumented insoles; interferometers; movement analysis; actuators; robotic systems; IoT; data processing; machine learning algorithms
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Anselmo Frizera-Neto

E-Mail Website
Guest Editor
Graduate Program in Electrical Engineering, Federal University of Espirito Santo, Vitoria 29075-910, Brazil
Interests: wearable robotics; sensor technologies; actuator; soft robotics; data processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The flexibility and small dimensions of optical fiber sensors in their many variants enable embedment in different structures with a variety of geometries and configurations. In the last few years, the embedment of optical fibers in concrete and composite structures has been reported in structural health monitoring applications. Similarly, such sensors are also integrated in dams or diaphragm construction walls for leakage monitoring. In addition, optical fibers are embedded in pipelines for their structural monitoring and the assessment of leakages, as well as in robotics, biomechanics, and biomedical applications. This Special Issue invites contributions dealing with the research and development of optical fiber sensors and their embedment in different flexible and rigid structures, which constitute the backbone of the next generation of smart structures.

Prof. Dr. Arnaldo Leal-Junior
Prof. Dr. Anselmo Frizera-Neto
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • optical fiber sensors
  • fiber Bragg gratings
  • composite structures
  • smart materials

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Published Papers (1 paper)

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Research

13 pages, 2532 KiB  
Article
Elastomer-Embedded Multiplexed Optical Fiber Sensor System for Multiplane Shape Reconstruction
by Arnaldo Leal-Junior, Leandro Macedo, Leticia Avellar and Anselmo Frizera
Sensors 2023, 23(2), 994; https://doi.org/10.3390/s23020994 - 15 Jan 2023
Viewed by 1957
Abstract
This paper presents the development and application of a multiplexed intensity variation-based sensor system for multiplane shape reconstruction. The sensor is based on a polymer optical fiber (POF) with sequential lateral sections coupled with a flexible light-emitting diode (LED) belt. The optical source [...] Read more.
This paper presents the development and application of a multiplexed intensity variation-based sensor system for multiplane shape reconstruction. The sensor is based on a polymer optical fiber (POF) with sequential lateral sections coupled with a flexible light-emitting diode (LED) belt. The optical source modulation enables the development of 30 independent sensors using one photodetector, where the sensor system is embedded in polydimethylsiloxane (PDMS) resin in two configurations. Configuration 1 is a continuous PDMS layer applied in the interface between the flexible LED belt and the POF, whereas Configuration 2 comprises a 20 mm length PDMS layer only on each lateral section and LED region. The finite element method (FEM) is employed for the strain distribution evaluation in different conditions, including the strain distribution on the sensor system subjected to momentums in roll, pitch and yaw conditions. The experimental results of pressure application at 30 regions for each configuration indicated a higher sensitivity of Configuration 1 (83.58 a.u./kPa) when compared with Configuration 2 (40.06 a.u./kPa). However, Configuration 2 presented the smallest cross-sensitivity between sequential sensors (0.94 a.u./kPa against 45.5 a.u./kPa of Configuration 1). Then, the possibility of real-time loading condition monitoring and shape reconstruction is evaluated using Configuration 1 subjected to momentums in roll, pitch and yaw, as well as mechanical waves applied on the sensor structure. The strain distribution on the sensor presented the same pattern as the one obtained in the simulations, and the real-time response of each sensor was obtained for each case. In addition, the possibility of real-time loading condition estimation is analyzed using the k-means algorithm (an unsupervised machine learning approach) for the clusterization of data regarding the loading condition. The comparison between the predicted results and the real ones shows a 90.55% success rate. Thus, the proposed sensor device is a feasible alternative for integrated sensing in movement analysis, structural health monitoring submitted to dynamic loading and robotics for the assessment of the robot structure. Full article
(This article belongs to the Special Issue Embedding Optical Fiber Sensors and Applications)
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