Predictive tolerance bands for the correction-less assembly of optical systems

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Schindlbeck, C.; Pape, C.; Reithmeier, E.: Predictive tolerance bands for the correction-less assembly of optical systems. In: Proceedings of SPIE 11103 (2019), 111030B. DOI: https://doi.org/10.1117/12.2527659

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Sum total of downloads: 29




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Abstract: 
When assembling optical systems, uncertainties of the positioning system and overall mounting tolerances lead to the deterioration of performance due to resulting misaligned optical components. In this paper, we present a novel methodology for the correction-less assembly of optical systems based on predictive tolerance bands. By running a simulation model in parallel to the assembly process, performance predictions can be made during the assembly that take into account the uncertainties of the positioning system. Typically, optical performance can be assessed by a variety of criteria. In this paper, we utilize the Marechal criterion based on the root mean square (RMS) error as it allows to verify if the optical system is defraction-limited. The extension with Monte Carlo methods enables the prediction of mean values and standard deviations for the chosen metric. This is done for the entire optical system yet to be assembled by integrating uncertainties of the positioning system within the simulation framework. Before assembly, a desired threshold (here the RMS value derived from the Marechal criterion) can be specified which is predicted and monitored throughout the assembly process. For verification, we analyze a two-lens system in simulation to demonstrate our proposed framework.
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: conferenceObject
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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pos. country downloads
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1 image of flag of Germany Germany 19 65.52%
2 image of flag of United States United States 6 20.69%
3 image of flag of Sweden Sweden 1 3.45%
4 image of flag of Poland Poland 1 3.45%
5 image of flag of United Kingdom United Kingdom 1 3.45%
6 image of flag of Colombia Colombia 1 3.45%

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