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http://dx.doi.org/10.1016/j.net.2021.03.015

Design of online damage images detection system for large-aperture mirrors of high power laser facility based on wavefront coding technology  

Fang, Wang (College of Electronics and Information Engineering, Sichuan University)
Qinxiao, Liu (School of Artificial Intelligence, Chongqing University of Technology)
Dongxia, Hu (Research Center of Laser Fusion, China Academy of Engineering Physics)
Hongjie, Liu (Research Center of Laser Fusion, China Academy of Engineering Physics)
Tianran, Zheng (Research Center of Laser Fusion, China Academy of Engineering Physics)
Publication Information
Nuclear Engineering and Technology / v.53, no.9, 2021 , pp. 2899-2908 More about this Journal
Abstract
The laser transport system of the high power laser facility is mainly composed of large-aperture laser transport mirrors (TMs). Obtaining the high-resolution online damage images during the operation, which is of great significance for operating safely of the mirrors and the facility. Based on wavefront coding, pan-tilt scanning and image stitching technologies, an online laser-damage images detection system is designed, and it can achieve high-precision detection of surface characteristics of large-aperture laser transport mirrors. The preliminary simulation proves that the system can solve the depth of field matching problem caused by pan-tilt tilt imaging and achieve higher resolution.
Keywords
Online damage detection; Wavefront coding; Large-aperture laser transport mirrors; High power laser facility;
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