Laser-induced degradation and damage morphology in polymer optical fibers

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Kiedrowski, K.; Jakobs, F.; Kielhorn, J.; Johannes, H.-H.; Kowalsky, W. et al.: Laser-induced degradation and damage morphology in polymer optical fibers. In: Proceedings of SPIE 11355 (2020), 1135504. DOI: https://doi.org/10.1117/12.2553999

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Sum total of downloads: 100




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Abstract: 
The radiation of pulsed laser systems can generate changes in various materials. On the one hand, these modifications can be used for a variety of applications i.e. laser welding, cutting and many more [1]. The precision and quality depends on the material and laser parameters. On the other hand, material changes are not always desired in other applications. When using optical materials such as optical fibers as a light guide or as a sensor, laser-induced damage effects inside the fiber are to be prevented to ensure constant light guidance and the reliable monitoring of a desired parameter. Therefore, investigations for quality assurance need to be performed. For this reason, this work investigates laserinduced damage in polymer optical fibers (POF) using a nanosecond pulsed laser system at a wavelength of 532 nm. The impact of different laser and fiber parameters on the long-term degradation behavior is observed. In addition, the overall degradation behavior as well as the knowledge gained by analyzing the damage morphology and distribution will be used to obtain a better understanding of the damage mechanisms.
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: 2020
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 42 42.00%
2 image of flag of United States United States 24 24.00%
3 image of flag of China China 15 15.00%
4 image of flag of No geo information available No geo information available 4 4.00%
5 image of flag of Netherlands Netherlands 2 2.00%
6 image of flag of Japan Japan 2 2.00%
7 image of flag of France France 2 2.00%
8 image of flag of Spain Spain 2 2.00%
9 image of flag of Ireland Ireland 1 1.00%
10 image of flag of Hong Kong Hong Kong 1 1.00%
    other countries 5 5.00%

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