Simulation of straight and bent self-written waveguides in photopolymer mixture using phenomenological and diffusion models

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Suar, M.; Rahlves, M.; Reithmeier, E.; Roth, B.: Simulation of straight and bent self-written waveguides in photopolymer mixture using phenomenological and diffusion models. In: Proceedings of SPIE - The International Society for Optical Engineering 10690 (2018), 106900D. DOI: https://doi.org/10.1117/12.2312507

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Sum total of downloads: 149




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Abstract: 
Straight and bent self-written waveguides (SWWs) are formed within a photomonomer mixture by means of a self-trapping effect when a single laser beam or two laser beams with tilt are propagated inside. These SWWs can be used as optical interconnects in integrated photonic circuits if two laser beams are launched in opposite directions into the photomonomer. In this work, two kinds of photo-polymerization models are implemented to simulate the SWWs. In the phenomenological model, the refractive index increases directly with actinic laser intensity, whereas the diffusion model has a more complex variation of refractive index profile which takes into account the individual redistribution of mixture components. Both these models are linked with a CrankNicholson based Beam Propagation Method (CN-BPM) to simulate the time varying light distribution within the polymer coupling structures. Differences are observed in the numerical simulation results for straight and bent SWWs with respect to the temporal evolution of refractive index within the mixture, corresponding beam intensity profiles and curing time. In addition, we show that a saturation of refractive index change leads to the polymerization of surrounding monomer and, as consequence, to corrupted light guiding. We report on the minimum refractive index modulation that is required for optimal light guiding within the SWW. © 2018 SPIE.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Maschinenbau

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pos. country downloads
total perc.
1 image of flag of Germany Germany 88 59.06%
2 image of flag of United States United States 31 20.81%
3 image of flag of China China 6 4.03%
4 image of flag of Japan Japan 5 3.36%
5 image of flag of Russian Federation Russian Federation 4 2.68%
6 image of flag of France France 3 2.01%
7 image of flag of Canada Canada 2 1.34%
8 image of flag of Taiwan Taiwan 1 0.67%
9 image of flag of Turkey Turkey 1 0.67%
10 image of flag of Korea, Republic of Korea, Republic of 1 0.67%
    other countries 7 4.70%

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