Conference Agenda

Topical Meetings and Sessions:

TOM 1 - Silicon Photonics and Guided-Wave Optics
TOM 2 - Computational, Adaptive and Freeform Optics
TOM 3 - Optical System Design, Tolerancing and Manufacturing
TOM 4 - Bio-Medical Optics
TOM 5 - Resonant Nanophotonics
TOM 6 - Optical Materials: crystals, thin films, organic molecules & polymers, syntheses, characterization and applications
TOM 7 - Thermal radiation and energy management
TOM 8 - Non-linear and Quantum Optics
TOM 9 - Opto-electronic Nanotechnologies and Complex Systems
TOM 10 - Frontiers in Optical Metrology
TOM 11 - Tapered optical fibers, from fundamental to applications
TOM 12 - Optofluidics
TOM 13 - Advances and Applications of Optics and Photonics
EU Project Session
Early Stage Researcher Session

More information on the Topical Meetings

Select a date or location to show only sessions at that day or location. Select a single session for a detailed view (with abstracts and downloads when you are logged in as a registered attendee). The rest of the TOM sessions, EU project session, tutorials, and Early Stage Researcher session will be updated soon. Thank you for your patience!

Please note that all times are shown in the time zone of the conference. The current conference time is: 5th Dec 2022, 09:08:22pm WET

Session Overview
TOM3 S01: Optical System Design, Tolerancing and Manufacturing
Tuesday, 13/Sept/2022:
11:30am - 1:00pm

Session Chair: Marco Hanft, Carl Zeiss AG, Germany
Location: B032

Ground floor, 99 seats

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11:30am - 12:00pm
ID: 313 / TOM3 S01: 1
TOM 3 Optical System Design, Tolerancing and Manufacturing

Optical Design at The Age of AI

Simon Thibault

University Laval, Canada

Data-driven methods to assist lens design have recently begun to emerge; in particular, under the form of lens design extrapolation to find starting points (lenses and freeform reflective system). I proposed a trip over the years to better understand why the AI have been applied first to the starting point problems and where we are going in the future.

12:00pm - 12:15pm
ID: 180 / TOM3 S01: 2
TOM 3 Optical System Design, Tolerancing and Manufacturing

A systematic view of microscope objective design

Yueqian Zhang1, Herbert Gross2

1Carl Zeiss AG, Germany; 2Fraunhofer Institute for Applied Optics and Precision Engineering IOF, Germany

The correction of modern microscope objectives is not usually discussed in literature. We have reported a system review and summarized the design principles in a series of papers in 2019. Here we are introducing the systematic view of microscope objective design with an extension of the database till 2021. Furthermore, a systematic synthesis approach aided by AI will also be discussed.

12:15pm - 12:45pm
ID: 192 / TOM3 S01: 3
TOM 3 Optical System Design, Tolerancing and Manufacturing

Plasma jet assisted polishing of fused silica freeform optics

Thomas Arnold1,2, Georg Boehm2,3, Heike Mueller2, Martin Ehrhardt2, Klaus Zimmer2

1Technische Universität Dresden, Institut für Fertigungstechnik, Dresden, Germany; 2Leibniz Institute of Surface Engineering (IOM), Leipzig, Germany; 3Trionplas technologies, Leipzig, Germany

Atmospheric pressure plasma jet machining technology not only provides a flexible and efficient way to generate and correct optical freeform surfaces made of fused silica, it can also be applied as a surface smoothing or polishing technique. Thermal plasma jet treatment leads to softening and redistribution of the material. An accurate temperature regime during the process is inevitable to achieve a uniformly smoothed surface. The possibilities for in-process temperature control are demonstrated. Surface roughness values can be significantly reduced by a factor of 1000 depending on the initial roughness of the ground surface.

12:45pm - 1:00pm
ID: 315 / TOM3 S01: 4
TOM 3 Optical System Design, Tolerancing and Manufacturing

Neural Network for optical performance Estimation and advanced Lens Combination

Robert Brüning, Michael Verhoek, Uwe Lippmann

Fraunhofer Institute of Applied Optics and Precision Engineering IOF, Germany

We developed an algorithm to estimate the performance of an optical system based on the errors of its individual components. After a short training period with classical simulated systems, the performance evaluation for tolerancing could be accelerated by a factor of about three million. Additionally, we propose a probability-based sorting algorithm to combine individual, erroneous components in order to compensate for the tolerance budget within the system and increase the overall yield.

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