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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Jasion, Gregory T.
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Topics
Publications (8/8 displayed)
- 2024Double-clad antiresonant hollow-core fiber and its comparison with other fibers for multiphoton micro-endoscopycitations
- 2023Loss in hollow-core fibers: mechanisms, scaling rules, and limitscitations
- 2021Hollow-core-fiber delivery of broadband mid-infrared light for remote multi-species spectroscopy
- 2021Gas-induced differential refractive index enhanced guidance in hollow-core optical fiberscitations
- 2020Extruded tellurite antiresonant hollow core fiber for mid-IR operationcitations
- 2015MicroStructure Element Method (MSEM): viscous flow model for the virtual draw of microstructured optical fiberscitations
- 2015Accurate modelling of fabricated hollow-core photonic bandgap fiberscitations
- 2014X-ray tomography for structural analysis of microstructured and multimaterial optical fibers and preformscitations
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article
MicroStructure Element Method (MSEM): viscous flow model for the virtual draw of microstructured optical fibers
Abstract
We propose a new method to accurately model the structural evolution of a microstructured fiber (MOF) during its drawing process, given its initial preform structure and draw conditions. The method, applicable to a broad range of MOFs with high air-filling fraction and thin glass membranes, is an extension of the Discrete Element Method; it determines forces on the nodes in the microstructure to progressively update their position along the neck-down region, until the fiber reaches a final frozen state. The model is validated through simulation of 6 Hollow Core Photonic Band Gap Fibers (HC-PBGFs) and is shown to predict accurately the final fiber dimensions and cross-sectional distortions. The model is vastly more capable than other state of the art models and allows fast exploration of wide drawing parameter spaces, eliminating the need for expensive and time-consuming empirical parameter scans.