4.7 Article

Confocal laser scanning and 3D reconstruction methods for the subsurface damage of polished optics

期刊

OPTICS AND LASERS IN ENGINEERING
卷 136, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.optlaseng.2020.106315

关键词

Subsurface damage; Sub-aperture scanning; Confocal laser scanning; 3D reconstruction

类别

资金

  1. National Key Research and Development Program of China [2016YFC1400900]
  2. National Natural Science Foundation of China [41775023]
  3. Excellent Young Scientist Program of Zhejiang Provincial Natural Science Foundation of China [LR19D050001]
  4. Public Welfare Project of Zhejiang Province [2016C33004]
  5. Fundamental Research Funds for the Central Universities [2019FZJD011]
  6. State Key Laboratory of Modern Optical Instrumentation Innovation Program [MOI2018ZD01]

向作者/读者索取更多资源

The paper introduces a method for detecting subsurface damage (SSD) in large polished optics that is difficult to observe, using confocal laser scanning and three-dimensional reconstruction techniques. This method can quickly and accurately display the morphology of SSDs and provide quantitative evaluations of SSDs.
The subsurface damage (SSD) of optics is one of the key factors limiting the increase of energy density of high-power solid-state lasers. Because of the characteristics of small size, low density and wide distribution, it is difficult to detect the SSD of large polished optics with high-accuracy. Confocal laser scanning and three-dimensional (3D) reconstruction methods are proposed in this paper. 3D scanning in a small area is realized by a galvo and piezo stage, and sub-aperture scanning in a large area is realized by a XY stage. Sub-aperture images are stitched together to construct a volume data field, and then a modified Marching Cubes (MC) algorithm is used for 3D reconstruction. Simulations and experimental results show that the algorithm runs faster with low memory footprint, and morphologies of SSDs are displayed intuitively and accurately. The proposed methods provide quantitative evaluations such as the positions, depths and cross-sectional areas of SSDs.

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