Conference 12880 > Paper 12880-57
Paper 12880-57

Lens parameters optimization sensitivity prediction using Ansys Zemax multi-configuration composite feature

On demand | Presented live 31 January 2024

Abstract

The merit function defines the permissible range of component variable values in optimizing lens systems. This ensures the optimization algorithm explores parameter variations within specified bounds, contributing to the generation of feasible designs. In this study, we introduce an approach to identify the optimization-sensitive surface parameters of a relay lens through the utilization of the multi-configuration composite feature. The parameter variations sensitivity is analyzed by employing the Zernike Standard Sag Surface as an add-on composite surface, with a perturbation pattern of spherical aberration irregularity across multiple configurations preceding each lens surface within the Zemax lens data editor. The primary performance degradation impact on surface parameters is identified by examining the image spot dimension charts. In light of the analysis results, rigorous constraints are imposed on the sensitive component. A suitable variable range is defined to establish practical limits, aiding the algorithm in searching for solutions within the feasible parameter space. This ensures optimized designs that are physically realizable and meet the specified performance criteria.

Presenter

Ansys, Inc. (United States)
In Xu's current role at Ansys Zemax, Xu is actively involved in advancing software feature development and conducting intricate optical simulations. Previously, Xu specialized in designing and fabricating medical and commercial imaging systems at the Academy of Opto-Electronics, Houston Methodist Research Institute, and Edmund Optics.
Application tracks: AI/ML , Sustainability
Presenter/Author
Ansys, Inc. (United States)
Author
Ansys, Inc. (United States)
Author
Ansys, Inc. (United States)
Author
ANSYS UK Ltd. (United Kingdom)
Author
Po-Sheng Chiu
Ansys, Inc. (Taiwan)
Author
Ansys (China)
Author
Ansys, Inc. (Taiwan)
Author
Ansys Canada Ltd. (Canada)
Author
David Vega
Ansys, Inc. (United States)