Machine vision assisted characterization of machined surfaces

This paper demonstrates the feasibility of using an inexpensive machine vision system to compute non-contact, optical parameters for the characterization of surface roughness of machined surfaces. Two parameters were selected for online analysis, where surface roughness is measured during the rotation of a specimen on a lathe. The sensitivity of the vision-based optical parameters to differences in surface roughness, ambient light and spindle speed of a lathe during measurement was evaluated. Statistical analysis of data collected through experimentation revealed that the vision parameters can discriminate different surface roughness heights and are insensitive to changes in ambient lighting and speed of rotation during measurement. The results of the experimental analysis were used to conclude the feasibility of using machine vision for the evaluation of surfaces.

[1]  F. Luk,et al.  Measurement of surface roughness by a machine vision system , 1989 .

[2]  Sheldon Gruber,et al.  Measurement of surface roughness parameter using a neural network and laser scattering , 1991 .

[3]  T. Vorburger,et al.  Optical techniques for on-line measurement of surface topography , 1981 .

[4]  M. Shiraishi.  In-Process Measurement of Surface Roughness in Turning by Laser Beams , 1981 .

[5]  C. S. Lee,et al.  An In-Process Measurement Technique Using Laser for Non-Contact Monitoring of Surface Roughness and Form Accuracy of Ground Surfaces , 1987 .

[6]  Hidehiko Takeyama,et al.  In-Process Detection of Surface Roughness in Machining , 1977 .

[7]  Shivakumar Raman,et al.  A framework for knowledge representation and interpretation of industrial objects , 1992 .

[8]  M. Shiraishi,et al.  A Consideration of Surface Roughness Measurement by Optical Method , 1987 .

[9]  Sam Anand,et al.  An algorithm for vertex detection , 1988 .

[10]  J. T. Black,et al.  Stylus Tracer Resolution and Surface Damage as Determined by Scanning Electron Microscopy , 1972 .

[11]  Masahiko Yachida,et al.  Industrial Computer Vision in Japan , 1980, Computer.

[12]  Richard A. Wysk,et al.  Vision assisted NC milling path generation , 1988 .

[13]  I. Inasaki.  In-process measurement of surface roughness during cylindrical grinding process , 1985 .

[14]  T. Vorburger,et al.  Regimes of surface roughness measurable with light scattering. , 1993, Applied optics.

[15]  Shivakumar Raman,et al.  Texture analysis using computer vision , 1991 .

[16]  I. Inasaki.  Development of In-Process Sensor for Surface Roughness Measurement , 1983 .

[17]  Jean M. Bennett.  Comparison Of Techniques For Measuring The Roughness Of Optical Surfaces , 1985 .

[18]  L. H. Tanner,et al.  A study of the surface parameters of ground and lapped metal surfaces, using specular and diffuse reflection of laser light , 1976 .