WANG Guilin, ZHU Junhui, LI Jiaxiang, LI Zhibin. In situ detection and evaluation of surface defects for large-aperture optical elements[J]. Journal of Applied Optics, 2019, 40(6): 1167-1173. DOI: 10.5768/JAO201940.0605005
Citation: WANG Guilin, ZHU Junhui, LI Jiaxiang, LI Zhibin. In situ detection and evaluation of surface defects for large-aperture optical elements[J]. Journal of Applied Optics, 2019, 40(6): 1167-1173. DOI: 10.5768/JAO201940.0605005

In situ detection and evaluation of surface defects for large-aperture optical elements

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  • Received Date: July 08, 2019
  • Revised Date: October 09, 2019
  • If the technology is not properly controlled in the machining process of precision optical elements, although the distribution range of defects such as scratch and pitting is small, it has great influence on the performance of optical system and is very destructive. At present, the surface defect detectors are mainly used for off-line detection of planar or spherical optical elements. The optical machine tool was used as the motion platform, the method of scattering imaging was adopted in dark field, the uniform illumination system with multi-beam was designed, the recognition algorithms of fine features on surface defects were studied, and in-situ detection and evaluation of surface defects for large-aperture optical elements were achieved. Calibration results show that the width deviation of surface defect is 2.05% and the length deviation is 2.39%, which meet the index requirement. On this basis, automated in situdetection is carried out for Φ280 mm planar silicon mirror. The statistical data of different defects is given, and the problems of long non-machining time and locating error caused by multiple clamping in off-line detectionare solved.
  • [1]
    李璐, 杨甬英, 曹频, 等.大口径光学元件表面灰尘与麻点自动判别[J].强激光与离子束, 2014, 26(1): 103-108. http://d.old.wanfangdata.com.cn/Periodical/qjgylzs201401022

    LI Lu, YANG Yongying, CAO Pin, et al. Automatic discrimination between dusts and digs for large fine optics[J]. High Power Laser and Particle Beams, 2014, 26(1): 103-108. http://d.old.wanfangdata.com.cn/Periodical/qjgylzs201401022
    [2]
    罗茂, 步扬, 徐静浩, 等.基于多光谱技术的光学元件表面疵病检测[J].中国激光, 2017, 44(1): 0104001. http://d.old.wanfangdata.com.cn/Thesis/Y3157125

    LUO Mao, BU Yang, XU Jinghao, et al. Optical element surface defect measurement based on multispectral technique[J]. Chinese Journal of Lasers, 2017, 44(1): 0104001. http://d.old.wanfangdata.com.cn/Thesis/Y3157125
    [3]
    LIU D, WANG S T, CAO P, et al. Dark-field microscopic image stitching method for surface defects evaluation of large fine optics[J]. Optics Express, 2013, 21(5): 5974-5987. doi: 10.1364/OE.21.005974
    [4]
    朱聪.光学镜片表面疵病检测算法研究[D].成都: 西南交通大学, 2014. http://cdmd.cnki.com.cn/Article/CDMD-10613-1014257473.htm

    ZHU Cong. Research of the defects detection algorithm on the optics lens surface[D]. Chengdu: Southwest Jiaotong University, 2014. http://cdmd.cnki.com.cn/Article/CDMD-10613-1014257473.htm
    [5]
    WANG S T, LIU D, YANG Y Y, et al. Distorion correction in surfaces defects evaluating system of large fine optics[J]. Optics Communications, 2014, 312(1): 110-116.
    [6]
    DM Tsai, CHEN M C, LI W C, et al. A fast regularity measure for surface defect detection[J]. Machine Vision and Applications, 2012(23): 869-886. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=e0f6ec8858c34c30ee4a32e76adf34fc
    [7]
    YANG Y Y, WANG S T, CHEN X Y, et al. Sparse microdefect evaluation system for large fine optical surfaces based on dark-field microscopic scattering imaging[J]. Proc. of SPIE, 2013, 8838: 883806. doi: 10.1117/12.2023438
    [8]
    LIU D, YANG Y Y, WANG L, et al. Microscopic scattering imaging measurement and digital evaluation system of defects for fine optical surface[J]. Optics Communications, 2007, 278(2): 240-246. doi: 10.1016/j.optcom.2007.06.041
    [9]
    DM Tsai, IY Chiang, YH Tsai. A shift-tolerant dissimilarity measure for surface defect detection[J]. IEEE Transactions on Industrial Informatics, 2012, 8(1): 128-137. doi: 10.1109/TII.2011.2166797
    [10]
    LF Fattak. Efficiency of optical non-destructive testing method to detect surface defects in engineering materials[J]. Al-Nahrain Journal for Engineering Sciences, 2015, 18(1): 118-127.
    [11]
    张彬, 刘缠牢.球面光学元件表面疵病的自动检测技术研究[J].光学仪器, 2013, 35(6): 16-20. doi: 10.3969/j.issn.1005-5630.2013.06.004

    ZHANG Bin, LIU Chanlao. Research on automatic detection technology for spherical optical element surface defect[J]. Optical Instruments, 2013, 35(6): 16-20. doi: 10.3969/j.issn.1005-5630.2013.06.004
    [12]
    陈国, 赵长明, 纪荣祎, 等.基于ZEMAX的半导体激光准直仿真设计[J].激光技术, 2012, 36(3): 318-321, 325. doi: 10.3969/j.issn.1001-3806.2012.03.008

    CHEN Guo, ZHAO Changming, JI Rongyi, et al. Simulation design of semiconductor laser collimation based ZEMAX[J]. Laser Technology, 2012, 36(3): 318-321, 325. doi: 10.3969/j.issn.1001-3806.2012.03.008
    [13]
    GAO X, YANG Y Y, ZHAO P, et al. Super-smooth surface defects measurement and evaluation system[J]. Proc. of SPIE, 2010, 7656: 76560A. http://d.old.wanfangdata.com.cn/Periodical/hwyjggc201002029
    [14]
    付国文.基于Retinex的图像增强算法研究及实现[D].上海: 上海交通大学, 2011. http://cdmd.cnki.com.cn/Article/CDMD-10248-1011268230.htm

    FU Guowen. Research and implementation of image enhancement algorithms based on retinex[D]. Shanghai: Shanghai Jiaotong University, 2011. http://cdmd.cnki.com.cn/Article/CDMD-10248-1011268230.htm
    [15]
    GAO Lingling, FAN Yong, CHEN Niannian, et al. A quick method of debris detecting and classifying for oversize optical element[J]. Microcomputer Information, 2008, 24(9): 306-307, 312.
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