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About

About

I have received my master’s degree in Physical Engineering from the Faculty of Sciences of University of Porto (FCUP) in October 2016. My master thesis, “Optical Sensors Based on Fabry-Perot Interferometry”, was conducted in collaboration between FCUP and INESC-TEC, at the Center of Applied Photonics (CAP).

I am currently a fellow researcher at Centre for Information Systems and Computer Graphics (CSIG), participating in a research project to develop optical fiber sensors for radon detection in marine environments.

Interest
Topics
Details

Details

  • Nationality

    Portugal
  • Centre

    Applied Photonics
  • Contacts

    +351220402301
    catarina.s.monteiro@inesctec.pt
001
Publications

2017

Embedded Fabry-Perot based Sensor Using Three-Dimensional Printing Technology

Authors
Monteiro, CS; Santos, BF; Silva, SO; Abreu, P; Restivo, MT; Frazao, O;

Publication
2017 25TH INTERNATIONAL CONFERENCE ON OPTICAL FIBER SENSORS (OFS)

Abstract
A sensor based on Fabry-Perot interferometry with a hollow microsphere cavity embedded in a 3D printed structure is proposed. The sensor was tested for lateral loading and temperature, showing promising results. By imprintring the sensor on the structure, the dynamic range of application is severely increased enabling the application of the sensor in harsh environments.

2017

Fabry-Perot Sensor based on Two Coupled Microspheres for Strain Measurement

Authors
Monteiro, CS; Kobelke, J; Schuster, K; Bierlich, J; Frazao, O;

Publication
2017 25TH INTERNATIONAL CONFERENCE ON OPTICAL FIBER SENSORS (OFS)

Abstract
A Fabry-Perot based sensor with two coupled hollow microspheres is presented. The sensor was fabricated using fusion splicing techniques, enabling a low-cost, highly reproducible, production. The coupling of the two microspheres gives rise to a highly sensitive strain sensor, reaching a sensitivity of 4.07 pm/mu epsilon. The allsilica composition leads to a low thermal sensitivity, making the proposed structure suitable applications in environments with varying external conditions.

2017

Strain sensor based on hollow microsphere Fabry-Perot cavity

Authors
Monteiro, CS; Silva, SO; Frazao, O;

Publication
THIRD INTERNATIONAL CONFERENCE ON APPLICATIONS OF OPTICS AND PHOTONICS

Abstract
Fusion splicing technique was explored for the fabrication of two sensing structures based on hollow microsphere Fabry-Perot cavity. The first sensor proposed was fabricated with a hollow microsphere tip, working as a probe sensor. This structure was studied for lateral load pressure, yielding a 1.56 +/- 0.01 nm/N sensitivity. The second sensing structure relied on an in-line hollow microsphere, which allowed the detection of lateral load, with a sensitivity of 2.62 +/- 0.02 nm/N. Furthermore, the proposed structure enabled strain sensing, with a sensitivity of 4.66 +/- 0.03 pm/mu epsilon. The two sensing structures were subjected to temperature, presenting low thermal cross-sensitivity.

2017

Hollow Microsphere Fabry–Perot Cavity for Sensing Applications

Authors
Monteiro, C; Silva, S; Frazao, O;

Publication
IEEE Photonics Technology Letters

Abstract

2016

Curvature sensor based on a Fabry-Perot interferometer

Authors
Monteiro, C; Ferreira, MS; Kobelke, J; Schuster, K; Bierlich, J; Frazão, O;

Publication
Proceedings of SPIE - The International Society for Optical Engineering

Abstract
A curvature sensor based on a Fabry-Perot interferometer is proposed. A capillary tube of silica is fusion spliced between two single mode fibers, producing a Fabry-Perot cavity. The light propagates in air, when passing through the capillary tube. Two different cavities are subjected to curvature and temperature. The cavity with shorter length shows insensitivity to both measurands. The larger cavity shows two operating regions for curvature measurement, where a linear response is shown, with a maximum sensitivity of 18.77pm/m-1 for the high curvature radius range. When subjected to temperature, the sensing head produces a similar response for different curvature radius, with a sensitivity of 0.87pm/°C. © 2016 SPIE.