A review of surface roughness measurements based on laser speckle method

被引:13
|
作者
Shao, Mei-qi [1 ]
Xu, Dong [1 ]
Li, Si-yi [1 ]
Zuo, Xiao-gang [2 ]
Chen, Chang-ke [2 ]
Peng, Gong-zhuang [1 ]
Zhang, Jia-min [1 ]
Wang, Xiao-chen [1 ]
Yang, Quan [1 ]
机构
[1] Univ Sci & Technol Beijing, Inst Engn Technol, Beijing 100083, Peoples R China
[2] Xinjiang Joinworld Co Ltd, Urumqi 830000, Xinjiang, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Surface roughness; Non-destructive measurement; Laser speckle method; Speckle pattern; Statistical property; CONTRAST; FIELD; PREDICTION; PARAMETERS; ALGORITHM;
D O I
10.1007/s42243-023-00930-8
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Surface roughness is commonly used to characterize material microstructure during processing, and accurate measurement of surface roughness is the premise and foundation of machining. Therefore, online non-destructive measurement of surface roughness based on the laser speckle method has become a hot issue in recent research. The improvements in surface roughness measurements based on the laser speckle method are systematically reviewed. Theory of speckle formation is introduced. The statistical properties of the speckle patterns including first-order statistical properties and second-order statistical properties are directly related to surface roughness. Surface roughness measurements based on the laser speckle method are roughly divided into the speckle contrast method, speckle correlation method, and fractal method. The three methods are described in detail, and an extensive comparison among all the methods is presented. The recent progresses and application of surface roughness measurements are reviewed. Finally, surface roughness measurements based on the laser speckle method are prospected and summarized.
引用
收藏
页码:1897 / 1915
页数:19
相关论文
共 50 条
  • [1] A review of surface roughness measurements based on laser speckle method
    Mei-qi Shao
    Dong Xu
    Si-yi Li
    Xiao-gang Zuo
    Chang-ke Chen
    Gong-zhuang Peng
    Jia-min Zhang
    Xiao-chen Wang
    Quan Yang
    Journal of Iron and Steel Research International, 2023, 30 : 1897 - 1915
  • [2] Surface roughness modeling based on laser speckle imaging
    Chen Su-Ting
    Hu Hai-Feng
    Zhang Chuang
    ACTA PHYSICA SINICA, 2015, 64 (23)
  • [3] MEASUREMENTS OF SURFACE-ROUGHNESS PROPERTIES BY MEANS OF LASER SPECKLE TECHNIQUES
    FUJII, H
    ASAKURA, T
    SHINDO, Y
    OPTICS COMMUNICATIONS, 1976, 16 (01) : 68 - 72
  • [4] Statistical Analysis of Surface Roughness Measurements Using Laser Speckle Images
    Jeyapoovan, T.
    Murugan, M.
    Bovas, B. Clemend
    PROCEEDINGS OF THE 2012 WORLD CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGIES, 2012, : 378 - 382
  • [5] Surface-roughness study using laser speckle method
    Toh, SL
    Shang, HM
    Tay, CJ
    OPTICS AND LASERS IN ENGINEERING, 1998, 29 (2-3) : 217 - 225
  • [6] LASER SPECKLE AND SURFACE-ROUGHNESS
    WELFORD, WT
    CONTEMPORARY PHYSICS, 1980, 21 (04) : 401 - 412
  • [7] Surface roughness evaluation by laser speckle
    Hirabayashi, Hisashi
    Matsuo, Tsukasa
    Ishizawa, Hiroaki
    Kanai, Hiroyuki
    Nishimatsu, Toyonori
    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2006, : 2870 - +
  • [8] Surface roughness measurement based on laser speckle and neural network
    Xu, Xiaomei
    Hu, Hong
    Zhongguo Jiguang/Chinese Journal of Lasers, 2009, 36 (SUPPL. 2): : 231 - 237
  • [9] Surface roughness measurement based on fractal dimension of laser speckle
    Chen, Suting
    Zhang, Yong
    Hu, Haifeng
    Zhongguo Jiguang/Chinese Journal of Lasers, 2015, 42 (04):
  • [10] Evaluation of surface roughness of a machined metal surface based on laser speckle pattern
    Xu, Dong
    Yang, Quan
    Dong, Feng
    Krishnaswamy, Sridhar
    JOURNAL OF ENGINEERING-JOE, 2018, (09): : 773 - 778