论文信息 - Surface roughness inspection by computer vision in turning operations

Surface roughness inspection by computer vision in turning operations

The use of computer vision techniques to inspect surface roughness of a workpiece under a variation of turning operations has been reported in this paper. The surface image of the workpiece is first acquired using a digital camera and then the feature of the surface image is extracted. A polynomial network using a self-organizing adaptive modeling method is applied to constructing the relationships between the feature of the surface image and the actual surface roughness under a variation of turning operations. As a result, the surface roughness of the turned part can be predicted with reasonable accuracy if the image of the turned surface and turning conditions are given.

Y. S. Tarng | Bean Yin Lee

[1] D.E.P. Hoy,et al. Surface quality assessment using computer vision methods , 1991 .

[2] Y. S. Tarng,et al. In-process prediction of corner wear in drilling operations , 2000 .

[3] D. E. Brown,et al. A polynomial network for predicting temperature distributions , 1994, IEEE Trans. Neural Networks.

[4] G. A. Miller. THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[5] A. G. Ivakhnenko,et al. Polynomial Theory of Complex Systems , 1971, IEEE Trans. Syst. Man Cybern..

[6] Y. S. Tarng,et al. Modeling and optimization of drilling process , 1998 .

[7] G. Galante,et al. Surface roughness detection by tool image processing , 1991 .

[8] M. B. Kiran,et al. Evaluation of surface roughness by vision system , 1998 .

[9] Stanley J. Farlow,et al. Self-Organizing Methods in Modeling: Gmdh Type Algorithms , 1984 .

[10] Keith C. Drake,et al. Abductive reasoning networks , 1991, Neurocomputing.

[11] Y. S. Tarng,et al. An abductive network for predicting tool life in drilling , 1999 .

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

[13] G A H Al-Kindi,et al. An application of machine vision in the automated inspection of engineering surfaces , 1992 .