Acta Optica Sinica, Volume. 40, Issue 2, 0216001(2020)

Three-Dimensional Reconstruction Technology of Subsurface Defects in Fused Silica Optical Components

Jianpu Zhang1, Huanyu Sun1, Shiling Wang1, Jin Huang2, Xiaoyan Zhou2, Fengrui Wang2, Hongjie Liu2, and Dong Liu1、*
Author Affiliations
  • 1State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China
  • 2Laser Fusion Research Center, China Academy of Engineering Physics, Mianyang, Sichuan 621900, China
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    Subsurface defects directly affect the imaging quality and laser damage threshold of fused silica optical components. In comparison with the two-dimensional cross-section size and depth of the defect, the quantitative detection results of the three-dimensional contour of the subsurface defect and its volume can facilitate a more accurate evaluation of the processing quality of the fused silica optical component. In this work, a tomography scanning experiment of the fused silica sample is performed using a confocal microscope based on the principle of confocal microscope. Moreover, a three-dimensional reconstruction algorithm for the subsurface defects of fused silica components is proposed based on the analysis of the characteristics of subsurface defect images. The proposed algorithm outperforms other reconstruction methods in terms of efficiency and accuracy. Based on the statistical results of the reconstructed defects, the complete three-dimensional information of the subsurface defects of the fused silica samples is quantitatively obtained.

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    Jianpu Zhang, Huanyu Sun, Shiling Wang, Jin Huang, Xiaoyan Zhou, Fengrui Wang, Hongjie Liu, Dong Liu. Three-Dimensional Reconstruction Technology of Subsurface Defects in Fused Silica Optical Components[J]. Acta Optica Sinica, 2020, 40(2): 0216001

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    Paper Information

    Category: Materials

    Received: Jul. 22, 2019

    Accepted: Sep. 19, 2019

    Published Online: Jan. 2, 2020

    The Author Email: Liu Dong (liudongopt@zju.edu.cn)

    DOI:10.3788/AOS202040.0216001

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