Parametric modeling and optimization of lightweight large aperture mirror driven by support

Chaoqun Zeng; Jiaying Wang; Wei Wang

doi:10.1117/12.3046184

13 December 2024 Parametric modeling and optimization of lightweight large aperture mirror driven by support

Chaoqun Zeng, Jiaying Wang, Wei Wang

Proceedings Volume 13497, AOPC 2024: Optical Design and Manufacturing; 1349706 (2024) https://doi.org/10.1117/12.3046184
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China

Abstract

Large aperture mirrors play an important role in ground-based telescopes, space exploration and other fields, and have always been a research hotspot for opto-mechanical structure design. Large aperture lightweight mirrors are often limited by strict performance indexes. It is difficult to optimize the design with complex structures and many design parameters. In this paper, a mirror of Φ1.2m is taken as the research object. An 18-point support parametric model of the mirror is established based on geometrical constraint solving. The optimized design is carried out for the two types of support methods, namely passive support (equal support force) and active support (unequal support force), in order to achieve a better lightweight rate and adaptability. The results show that the optimized mirror has a mass less than 96 kg and a lightweight rate more than 82.7%. Under 1 g gravity, the RMS value of the mirror is less than 6 nm. And the deformation of the mirror can be further reduced by using the active support with unequal support force. This method can provide a reference for the optimized design of large aperture lightweight mirrors.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chaoqun Zeng, Jiaying Wang, and Wei Wang "Parametric modeling and optimization of lightweight large aperture mirror driven by support", Proc. SPIE 13497, AOPC 2024: Optical Design and Manufacturing, 1349706 (13 December 2024); https://doi.org/10.1117/12.3046184

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available