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  4. Robustness estimation of simple lens systems by machine learning
 
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2021
  • Konferenzbeitrag

Titel

Robustness estimation of simple lens systems by machine learning

Abstract
Tolerance analysis and tolerance sensitivity optimization (desensitization) are important and necessary for manufacturability. However, compared to the optimization of optical performance, tolerance analysis is still time-consuming. A machine learning approach for the fast robustness estimation of lens systems is proposed. The results of the machine learning estimation and the other four different methods are compared with the results of the Monte Carlo analysis. The proposed model is added to the merit function in commercial software for optimization to reduce the sensitivity.
Author(s)
Chen, Chia-Wei
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Zhou, Bowen
Längle, Thomas
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Beyerer, Jürgen
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Hauptwerk
International Optical Design Conference, IODC 2021
Konferenz
International Optical Design Conference (IODC) 2021
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DOI
10.1117/12.2603658
Language
Englisch
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IOSB
Tags
  • robustness

  • sensitivity

  • tolerancing

  • desensitization

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