Surface roughness measurement on machined surfaces using angular speckle correlation

被引:54
|
作者
Persson, Ulf [1 ]
机构
[1] Mid Sweden Univ, Dept IT & Media, Sect Elect Prod, Electroopt Lab, SE-83125 Ostersund, Sweden
关键词
speckle; roughness; ASC; machined surface;
D O I
10.1016/j.jmatprotec.2006.06.010
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Surface roughness is of great importance in fields, such as tribology, semiconductor technology and medicine. Stylus techniques, in which a stylus is drawn along the surface and the vertical movement of the stylus is recorded, have been used traditionally in measuring surface roughness. Non-contact methods, such as optical ones, have the advantage that they can be used for the in-process measurement of surface roughness. In this paper, results of the measurement of surface roughness using angular speckle-correlation on machined surfaces are presented. Surfaces of approximately 1.6 < R-a < 6.3 mu m have been measured, the surfaces being classified in the same manner as when using a stylus instrument. ASC is a technique that also allows in-process measurement of the roughness of surfaces on machined surfaces. A new technique to achieve increased repeatability by using an angle detection unit is also presented in this paper. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:233 / 238
页数:6
相关论文
共 50 条
  • [31] Roughness measurement of paper using speckle
    Pino, Abdiel
    Pladellorens, Josep
    Cusola, Oriol
    Caum, Jesus
    OPTICAL ENGINEERING, 2011, 50 (09)
  • [32] Measurement of Nanoscale Surface Roughness using Electronic Speckle Pattern Interferometer
    Padghan, P. P.
    Pande, V. D.
    Ingle, P. U.
    Sen, S. S.
    Gade, A. K.
    Alti, K. M.
    PROF. DINESH VARSHNEY MEMORIAL NATIONAL CONFERENCE ON PHYSICS AND CHEMISTRY OF MATERIALS (NCPCM 2018), 2019, 2100
  • [33] SURFACE-ROUGHNESS MEASUREMENT USING WHITE-LIGHT SPECKLE
    SPRAGUE, RA
    APPLIED OPTICS, 1972, 11 (12): : 2811 - &
  • [34] MEASUREMENT OF SURFACE-ROUGHNESS PROPERTIES BY USING IMAGE SPECKLE CONTRAST
    FUJII, H
    ASAKURA, T
    SHINDO, Y
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA, 1976, 66 (11) : 1217 - 1222
  • [35] Analyzing the effects of machining parameters on surface roughness of machined surfaces using vision system
    Shivanna, D. M.
    Kiran, M. B.
    Venkatesh, G. S.
    Kavitha, S. D.
    MATERIALS TODAY-PROCEEDINGS, 2021, 47 : 4885 - 4890
  • [36] Instrument for on-line monitoring of surface roughness of machined surfaces
    Valliant, JG
    Foley, MP
    Bennett, JM
    OPTICAL ENGINEERING, 2000, 39 (12) : 3247 - 3254
  • [37] Measurement of surface roughness of metals using binary speckle image analysis
    Kayahan, Ersin
    Oktem, Hasan
    Hacizade, Fikret
    Nasibov, Humbat
    Gundogdu, Ozcan
    TRIBOLOGY INTERNATIONAL, 2010, 43 (1-2) : 307 - 311
  • [38] WHOLE FIELD MEASUREMENT OF SURFACE-ROUGHNESS USING LASER SPECKLE
    TAY, CJ
    TOH, SL
    SHANG, HM
    ZHANG, JB
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1993, 38 (1-2) : 195 - 202
  • [39] Instrument for on-line monitoring of surface roughness of machined surfaces
    Valliant, JG
    Bennett, JM
    PROCEEDINGS OF: ADVANCES IN SURFACE METROLOGY, 1997, : 82 - 87
  • [40] Investigation of Correlation between Image Features of Machined Surface and Surface Roughness
    Svalina, Ilija
    Havrlisan, Sara
    Simunovic, Katica
    Saric, Tomislav
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2020, 27 (01): : 27 - 36