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Publications

Publications by Orlando Frazão

2010

Intrinsic Fabry-Perot cavity sensor based on chemical etching of a multimode graded index fiber spliced to a single mode fiber

Authors
Tafulo, PAR; Frazao, O; Jorge, PAS; Araujo, FM;

Publication
FOURTH EUROPEAN WORKSHOP ON OPTICAL FIBRE SENSORS

Abstract
An intrinsic Fabry-Perot cavity for high temperature and strain measurement is presented. The in-fibre cavity is formed by a chemical etched graded index optical fiber spliced to a single mode fiber. The intrinsic sensor obtained shows high sensitivity to strain (6.2 pm/mu epsilon) and rather low sensitivity to temperature (0.9 pm/degrees C), being suitable for applications as a strain gauge at high temperature.

2011

Controlling the sensitivity of a Non-adiabatic tapered optical fiber for measuring the refractive index using all fiber Sagnac loop Interferometer

Authors
Zibaii, MI; Jorge, PAS; Frazao, O; Latifi, H;

Publication
INTERNATIONAL CONFERENCE ON APPLICATIONS OF OPTICS AND PHOTONICS

Abstract
A single-mode non-adiabatic tapered optical fiber (NATOF) sensor was inserted into a Sagnac loop interferometer allowing tuning its sensitivity to refractive index (RI) by use of polarization control. By adjusting any polarization controllers inserted in the Sagnac loop interferometer, various cladding modes are selectively excited in each arm of the interferometric taper resulting into different phase changes for the clockwise and counterclockwise beams. By this method, sensitivity of the sensor for RI in the range from 1.3380 to 1.3510 was tuned between 876.24 RIU/nm to 1233.07 RIU/nm.

2000

Progression monitoring of the flow front in RTM process using fibre Bragg grating sensors

Authors
Novo, C; Frazao, O; Costa, AN; Vieira, A; Correia, N; Dias, I; Araujo, FM; Marques, AT;

Publication
14TH INTERNATIONAL CONFERENCE ON OPTICAL FIBER SENSORS

Abstract
Monitoring and control of RTM process is essential to minimise trial and errors and optimise cycle productions. Hence a research programme was established to study different systems to control the process. In this paper, several experiments are described in which an on-line system based on fibre Bragg sensors was implemented.

2008

Intelligent optical sensors using artificial neural network approach

Authors
Dias, I; Oliveira, R; Frazao, O;

Publication
INNOVATION IN MANUFACTURING NETWORKS

Abstract
This work present and demonstrated an applications of artificial neural network approach in optical sensing. The conventional matrix method used in simultaneous measurement of strain and temperature with optical Bragg gratings is compared with artificial neural network approach. The alternative method is proposed for reduced the error.

2006

The signal characteristics of the spectral response of Bragg grating sensor embedded in composite laminated after the cure process

Authors
Ramos, CA; Frazao, O; Dias, I; Marques, AT;

Publication
ADVANCED MATERIALS FORUM III, PTS 1 AND 2

Abstract
The objective of this work was to study, understand and evaluate the effect of different geometric configurations of carbon plies, in the reflected wavelength spectrum of Bragg grating structure together with the effect of the recoating process of the sensor. The different possibilities depend upon the orientation and location of the optical fibre relative to the composite reinforcement orientation and the presence/absence of recoating. The material stacking sequence and the cure conditions were are also studied and the influence of the different possibilities was considered. The optical spectrum response obtained by the interaction of the optical fibre with the host material is shown.

2009

A SIMPLE SMART COMPOSITE USING FIBER BRAGG GRATING SENSORS FOR STRAIN AND TEMPERATURE DISCRIMINATION

Authors
Frazao, O; Oliveira, R; Dias, I;

Publication
MICROWAVE AND OPTICAL TECHNOLOGY LETTERS

Abstract
A smart laminated composite with a simple geometry was produced with embedded fiber Bragg grating sensors. The smart structure is composed of two Bragg gratings located in regions of different thicknesses of the laminated composite. Although one of the Bragg gratings is embedded between two layers, the other is embedded in jour layers. When the strain is applied to the smart composite, different response is obtained. Because of this characteristic it is possible to discriminate strain and temperature using a traditional matrix method. To reduce the inherent error, an artificial neural network approach is proposed that will improve the strain and temperature measurement discrimination when using this new configuration. These instrumented carbon fiber laminates can be used for monitoring of reinforcement and protection of structures. (C) 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 235-239, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23990

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