From Event: SPIE Optical Engineering + Applications, 2016
Performance-related effects of system level temperature changes can be a key consideration in the design of many types of optical instruments. This is especially true for space-based imagers, which may require complex thermal control systems to maintain alignment of the optical components. Structural-Thermal-Optical-Performance (STOP) analysis is a multi-disciplinary process that can be used to assess the performance of these optical systems when subjected to the expected design environment. This type of analysis can be very time consuming, which makes it difficult to use as a trade study tool early in the project life cycle. In many cases, only one or two iterations can be performed over the course of a project. This limits the design space to best practices since it may be too difficult, or take too long, to test new concepts analytically. In order to overcome this challenge, automation, and a standard procedure for performing these studies is essential. A methodology was developed within the framework of the Comet software tool that captures the basic inputs, outputs, and processes used in most STOP analyses. This resulted in a generic, reusable analysis template that can be used for design trades for a variety of optical systems. The template captures much of the upfront setup such as meshing, boundary conditions, data transfer, naming conventions, and post-processing, and therefore saves time for each subsequent project. A description of the methodology and the analysis template is presented, and results are described for a simple telescope optical system.
Salvatore Scola, Rebecca Stavely, Trevor Jackson, Charlie Boyer, Jim Osmundsen, Craig Turczynski, and Chad Stimson, "Development and implementation of a generic analysis template for structural-thermal-optical-performance modeling," Proc. SPIE 9953, Optical Modeling and Performance Predictions VIII, 99530A (Presented at SPIE Optical Engineering + Applications: September 01, 2016; Published: 27 September 2016); https://doi.org/10.1117/12.2236427.
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