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Dive into the research topics where Eli Voet is active.

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Featured researches published by Eli Voet.


IEEE Photonics Journal | 2015

Simultaneous Interrogation of Multiple Fiber Bragg Grating Sensors Using an Arrayed Waveguide Grating Filter Fabricated in SOI Platform

Andrea Trita; Eli Voet; Jan Vermeiren; Danaë Delbeke; Pieter Dumon; Shibnath Pathak; Dries Van Thourhout

A novel fiber Bragg grating (FBG) interrogator is demonstrated based on an optimized arrayed waveguide grating (AWG) filter. The AWG response is optimized to achieve large crosstalk between the output channels, which allows simultaneous detection of multiple FBG peaks, using centroid signal processing techniques, without constraints on the minimum FBG peak spectral width. The measured interrogator resolution is 2.5 pm, and the total measurement range is 50 nm. The device is fabricated in a silicon-on-insulator platform and has a footprint of only 2.2 × 1.5 mm. A novel approach to minimize the polarization dependence of the device is proposed and experimentally demonstrated.


Sensors | 2015

A micro-computed tomography technique to study the quality of fibre optics embedded in composite materials.

Gabriele Chiesura; Geert Luyckx; Eli Voet; Nicolas Lammens; Wim Van Paepegem; Joris Degrieck; Manuel Dierick; Luc Van Hoorebeke; Pieter Vanderniepen; Sanne Sulejmani; Camille Sonnenfeld; Thomas Geernaert; Francis Berghmans

Quality of embedment of optical fibre sensors in carbon fibre-reinforced polymers plays an important role in the resultant properties of the composite, as well as for the correct monitoring of the structure. Therefore, availability of a tool able to check the optical fibre sensor-composite interaction becomes essential. High-resolution 3D X-ray Micro-Computed Tomography, or Micro-CT, is a relatively new non-destructive inspection technique which enables investigations of the internal structure of a sample without actually compromising its integrity. In this work the feasibility of inspecting the position, the orientation and, more generally, the quality of the embedment of an optical fibre sensor in a carbon fibre reinforced laminate at unit cell level have been proven.


Structural Health Monitoring-an International Journal | 2015

FE Tool for Drape Modelling and Resin Pocket Prediction of Fully Embedded Optical Fiber Sensor system

Nicolas Lammens; Gabriele Chiesura; Tahira Ahmed; Anders Brodsjo; Eli Voet; Geert Luyckx; Wim Van Paepegem; Joris Degrieck

This work highlights some of the achievements obtained within the EU FP7 SmartFiber project, aiming to develop a fully embeddable optical fiber sensor system including the interrogator chip. The focus is on resolving issues holding back the industrial uptake of optical sensing technology. In a first section, the development of a placement head for automated lay-down of an optical sensor line (including the SmartFiber interrogator system) during composite manufacturing is discussed. In a second section, the attention is shifted to the occurrence of resin pockets surrounding inclusions such as the SmartFiber interrogator. A computationally efficient F.E. approach is presented capable of accurately predicting resin pocket geometries. Both small (i.e. optical fiber sensors) and large (i.e. the SmartFiber interrogator) inclusions are considered, and the F.E. predictions are validated with experimental observations.


Smart Materials and Structures | 2015

Optimization of coating diameter of fiber optic sensors embedded in composite structures under arbitrary loading conditions

Nicolas Lammens; Geert Luyckx; Eli Voet; Wim Van Paepegem; Joris Degrieck

Due to mismatches in size and material properties, optical fiber (OF) sensors act as inclusions when embedded in composite hosts. The resulting stress concentrations surrounding the OF sensor may lead to premature failure of the host structure. In this work, a novel technique is presented to determine optimal coating properties for OF sensors embedded in composite structures in order to minimize stress concentrations surrounding these sensors. The method is validated against methodologies available in literature and is shown to produce identical results under these specific circumstances. Compared to the methods in literature, the proposed method is significantly more flexible as it allows the optimization of the coating for any arbitrary load condition. The results of the computations can be reused for any load case in the given combination of host and coating material, reducing the computations to a one time effort for a specific combination of host and coating.


Composite Structures | 2015

Finite element prediction of resin pocket geometry around embedded optical fiber sensors in prepreg composites

Nicolas Lammens; Geert Luyckx; Eli Voet; Wim Van Paepegem; Joris Degrieck


6th International Conference on Optical Measurement Techniques for Structures and Systems III (OPTIMESS2015) | 2016

Production monitoring of a RIM automotive control arm by means of fibre optic sensors

Gabriele Chiesura; Geert Luyckx; Eli Voet; Wim Van Paepegem; Joris Degrieck; Markus Kaufmann; Thomas Martens; Alfredo Lamberti; Steve Vanlanduit


international conference on emerging technologies | 2015

SMARTFIBER: miniaturized optical-fiber sensor based health monitoring system

Nicolas Lammens; Geert Luyckx; Eli Voet; Wim Van Paepegem; Joris Degrieck


Frontiers in Optics | 2015

Miniaturized Fiber Bragg Grating Interrogator based on an Arrayed Waveguide Grating in SOI platform

Andrea Trita; Eli Voet; Jan Vermeiren; Danaë Delbeke; Pieter Dumon; Shibnath Pathak; Dries Van Thourhout


Emerging Technologies in Non-Destructive Testing, 6th Conference, Papers | 2015

Micro-CT as a well-established technique to investigate the internal damage state of a composite laminate subjected to fatigue

Gabriele Chiesura; Geert Luyckx; Eli Voet; Wim Van Paepegem; Joris Degrieck; Matthieu Boone; Jelle Dhaene; Luc Van Hoorebeke


16th International Conference on Experimental Mechanics, Abstracts | 2014

Optical fiber coating optimization tool for composite embedded health monitoring purposes through a novel transfer matrix method

Nicolas Lammens; Geert Luyckx; Eli Voet; Wim Van Paepegem; Joris Degrieck

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Jan Vermeiren

Katholieke Universiteit Leuven

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