MEASURING CHARACTERISTIC PARAMETERS OF FORM GRINDING WHEELS USED FOR MICRODRILL FLUTING BY COMPUTER VISION

This study aims at measuring the characteristic parameters of form grinding wheels used for microdrill fluting, whose wheel contours are specially made up of combinations of multiple curves. With the aid of the indirect duplication of wheel contours and by using computer vision, this paper presents a systematic process for the wheel contour measurement. The measuring process includes five sequential steps: the edge detection, the straight line detection, the contour separation, the circular arc fitting, and the circular arc angle evaluation. To test the proposed measuring process, a measuring apparatus was built, and experiments measuring the characteristic parameters of diamond grinding wheels used for microdrill fluting were conducted. It showed that the proposed measuring process was feasible to measure the characteristic parameters of certain form grinding wheels used for microdrill fluting.

[1]  Paul Wintz,et al.  Digital image processing (2nd ed.) , 1987 .

[2]  Rangachar Kasturi,et al.  Machine vision , 1995 .

[3]  Y. S. Tarng,et al.  Examining the profile accuracy of grinding wheels used for microdrill fluting by an image-based contour matching method , 2010 .

[4]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[5]  Z. Feng,et al.  Image processing of grinding wheel surface , 2007 .

[6]  Jasbir S. Arora,et al.  Introduction to Optimum Design , 1988 .

[7]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[8]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[9]  Y. S. Tarng,et al.  Measuring wear of the grinding wheel using machine vision , 2006 .

[10]  Manbir S. Sodhi,et al.  Surface roughness monitoring using computer vision , 1996 .

[11]  Robert Bauer,et al.  Application of region growing method to evaluate the surface condition of grinding wheels , 2004 .

[12]  Kuang-Chao Fan,et al.  On-Line Non-Contact System for Grinding Wheel Wear Measurement , 2002 .

[13]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[14]  Raúl Enrique Sánchez-Yáñez,et al.  Circle detection on images using genetic algorithms , 2006, Pattern Recognit. Lett..

[15]  Xun Chen,et al.  Image processing of the grinding wheel surface , 2007 .