A method for on-line rapid determination of the diameter of metallic cylinder is introduced in this paper. Under the radiation of diffuse light, there is a bright area close to the margin of metallic cylinder, and the method of this paper is based on the intensity distribution of the bright area. In this paper, with the radiation by a diffuse plane light with special shape, we present the relation expression of the distance between the peak point and the real edge of the cylinder and the distance between the diffuse light and the pinhole aperture of the camera. With the expression, the diameter of the cylinder to be measured can be calculated. In the experiments, monochromatic LED uniting with ground glass forms the diffuse light source, then the light irradiates the tested cylinder. After the cylinder, we use a lens with a front pinhole stop to choose the light into CMOS, then a computer is used to analyze images and export the measurement results. The measuring system using this method is very easily implemented, so it can realize the on-line rapid measurement. Experimental results are presented for six metallic cylinders with the diameter in 5~18mm range and roughness in Ra- 0.02um, and the precision reaches 3um.
[1]
A. A. Pavlov,et al.
PECULIARITIES OF CYLINDER DIAMETER DETERMINATION BY DIFFRACTION METHOD
,
2000
.
[2]
J Fukaya,et al.
Fraunhofer diffraction of a slit aperture between a knife-edge and a metal cylinder.
,
1995,
Applied optics.
[3]
Monty Glass.
Fresnel diffraction from curved fiber snippets with application to fiber diameter measurement.
,
1996,
Applied optics.
[4]
R A Lessard,et al.
Real-time curvature radii measurements using diffraction edge waves.
,
1985,
Applied optics.
[5]
James H. Burge,et al.
Aspheric and freeform surfaces metrology with software configurable optical test system: a computerized reverse Hartmann test
,
2013
.
[6]
S. Khodier.
Measurement of wire diameter by optical diffraction
,
2004
.
[7]
Eusebio Bernabeu,et al.
Geometrical model for wire optical diffraction selected by experimental statistical analysis
,
1999
.