Details
Original language | English |
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Title of host publication | Optical Modeling and System Alignment |
Editors | Mark A. Kahan, Jose Sasian, Richard N. Youngworth |
Publisher | SPIE |
Number of pages | 7 |
ISBN (electronic) | 9781510628991 |
Publication status | Published - 30 Aug 2019 |
Event | Optical Modeling and System Alignment 2019 - San Diego, United States Duration: 12 Aug 2019 → 13 Aug 2019 |
Publication series
Name | Proceedings of SPIE |
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Volume | 11103 |
ISSN (Print) | 0277-786X |
ISSN (electronic) | 1996-756X |
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.
Keywords
- adaptive optics, assembly, Automated alignment, beam expander, tolerancing, wavefront sensors, wavefronts
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
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- BibTeX
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Optical Modeling and System Alignment. ed. / Mark A. Kahan; Jose Sasian; Richard N. Youngworth. SPIE, 2019. 111030B (Proceedings of SPIE; Vol. 11103).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Predictive tolerance bands for the correction-less assembly of optical systems
AU - Schindlbeck, Christopher Alexander
AU - Pape, Christian
AU - Reithmeier, Eduard
PY - 2019/8/30
Y1 - 2019/8/30
N2 - 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.
AB - 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.
KW - adaptive optics
KW - assembly
KW - Automated alignment
KW - beam expander
KW - tolerancing
KW - wavefront sensors
KW - wavefronts
UR - http://www.scopus.com/inward/record.url?scp=85076488475&partnerID=8YFLogxK
U2 - 10.15488/10270
DO - 10.15488/10270
M3 - Conference contribution
AN - SCOPUS:85076488475
T3 - Proceedings of SPIE
BT - Optical Modeling and System Alignment
A2 - Kahan, Mark A.
A2 - Sasian, Jose
A2 - Youngworth, Richard N.
PB - SPIE
T2 - Optical Modeling and System Alignment 2019
Y2 - 12 August 2019 through 13 August 2019
ER -