An intelligent computation system for precise assembly of large laser optics. Issue 4 (3rd September 2018)

• Record Type: Journal Article
• Authors: Wang, Hui; Zhang, Zheng; Xiong, Zhao; Liu, Tianye; Long, Kai; Quan, Xusong; Yuan, Xiaodong
• Is Part Of: Assembly automation. Volume 38:Issue 4(2018)
• Page Start: 524
• Page End: 535
• Publication Date: 2018-09-03
• Subjects: Genetic algorithm -- Distortion analysis -- Large laser optics -- Precision assembly; Automation -- Periodicals; Automatic machinery -- Periodicals; Assembly-line methods -- Periodicals; Industrial engineering -- Periodicals; 670.42705
• DOI: 10.1108/AA-04-2017-048
• Languages: English
• ISSNs: 0144-5154

Abstract

Abstract : Purpose: It is a huge technical and engineering challenge to realize the precise assembly of thousands of large optics in high power solid-state laser system. Using the 400-mm aperture-sized transport mirror as a case, this paper aims to present an intelligent numerical computation methodology for mounting performance analysis and modeling of large optics in a high-power laser system for inertial confinement fusion (ICF). Design/methodology/approach: Fundamental principles of modeling and analysis of the transport mirror surface distortion are proposed, and a genetic algorithm-based computation framework is proposed to evaluate and optimize the assembly and mounting performance of large laser optics. Findings: The stringent specifications of large ICF optics place very tight constraints upon the transport mirror's assembly and mounts. The operational requirements on surface distortion [peak-to-valley and root mean square (RMS)] can be met as it is appropriately assembled by the close loop of assembly-inspection-optimization-fastening. In the end, the experimental study validates the reliability and effectiveness of the transport mirror mounting method. Originality/value: In the assembly design and mounting performance evaluation of large laser optics, the whole study has the advantages of accurate evaluation and intelligent optimization on nano-level optical surface distortion, which provides a fundamental methodology for precise assembly and mounting of large ICF optics.