Surface roughness monitoring using computer vision

被引：19
|
作者：
Sodhi, MS
Tiliouine, K
机构：
[1] Indust. and Mfg. Engineering, University of Rhode Island, 103 G. Gilbreth Hall, Kingston
来源：
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE | 1996年 / 36卷 / 07期
关键词：
D O I：
10.1016/0890-6955(96)00082-X
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a comparative experimental surface roughness measurement method based on the speckle pattern caused by a laser beam on a rough surface is presented. Surfaces with known surface roughness are measured using this method to obtain a calibration curve. This information is used to measure surfaces produced by surface grinding, and the results compared with stylus measurements. The online use of this method for tracking the roughness of a workpiece being processed on a surface grinder and to monitor the condition of the grinding wheel is also reported. Copyright (C) 1996 Elsevier Science Ltd.
引用
收藏
页码：817 / 828
页数：12
相关论文
共 50 条
  • [1] Computer vision measurement and optimization of surface roughness using soft computing approaches
    Beemaraj, Radha Krishnan
    Sekar, Mathalai Sundaram Chandra
    Vijayan, Venkatraman
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2020, 42 (13) : 2475 - 2481
  • [2] Surface roughness inspection by computer vision in turning operations
    Lee, BY
    Tarng, YS
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2001, 41 (09): : 1251 - 1263
  • [3] Measurement of surface roughness by computer vision in planning operations
    Chen, Xiang-wei
    Zhang, Zhi-kui
    Liu, Zhao-hui
    ADVANCES IN SUPERALLOYS, PTS 1 AND 2, 2011, 146-147 : 361 - 365
  • [4] A study of computer vision for ground surface roughness evaluation
    Liu, Xianli
    Wu, Chunya
    Wang, Lan
    Liu, Liming
    Wang, Peng
    ELECTRONIC IMAGING AND MULTIMEDIA TECHNOLOGY V, PTS 1 AND 2, 2008, 6833
  • [5] Computer vision-based surface roughness measurement using artificial neural network
    Karthikeyan, S.
    Subbarayan, M. R.
    Kumar, P. Mathan
    Beemaraj, Radha Krishnan
    Sivakandhan, C.
    MATERIALS TODAY-PROCEEDINGS, 2022, 60 : 1325 - 1328
  • [6] A evaluation of surface roughness classes by computer vision using wavelet transform in the frequency domain
    Morala-Argueello, Patricia
    Barreiro, Joaquin
    Alegre, Enrique
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 59 (1-4): : 213 - 220
  • [7] A evaluation of surface roughness classes by computer vision using wavelet transform in the frequency domain
    Patricia Morala-Argüello
    Joaquín Barreiro
    Enrique Alegre
    The International Journal of Advanced Manufacturing Technology, 2012, 59 : 213 - 220
  • [8] Quantitative evaluation of surface roughness of flat metal surfaces using computer vision system
    Inamdar, Kedar H.
    Joshi, S. G.
    Proceedings of the 8th Biennial Conference on Engineering Systems Design and Analysis, Vol 4, 2006, : 743 - 749
  • [9] A study of computer vision for measuring surface roughness in the turning process
    Lee, B.Y. (leebyin@sunws.nhit.edu.tw), 1600, Springer-Verlag London Ltd (19):
  • [10] A study of computer vision for measuring surface roughness in the turning process
    Lee, BY
    Juan, H
    Yu, SF
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2002, 19 (04): : 295 - 301
12345