Quantitative Evaluation of the Uniformity of Abrasive Distribution Based on Image Processing

摘要：

In precision machining, the uniformity degree of abrasive distribution affects significantly the surface quality. To quantitatively evaluate the uniformity of abrasive distribution, in this paper digital image processing technology was employed to segment the working face images of impregnated diamond tools; mean crowding index was used to classify the pattern of abrasive distribution; fractal dimension determined by gyration radius method was applied to characterize the bulk uniformity of abrasive distribution on face plane; the coefficient of variation of Voronoi cell areas was adopted to describe the local distribution feature of abrasive grits. The results show that mean crowding index, fractal dimension and CV of Voronoi cell areas can characterize the uniformity of abrasive distribution from different points of view, and can be used to quantitatively evaluate the uniformity of abrasive distribution.

关键词： Abrasive distribution Uniformity Image processing Fractal

作者: Bingsuo Pan Biao Wan Xiaohong Fang

作者单位: Faculty of Engineering, China University of Geosciences, Wuhan 430074, China Faculty of Computer Technology & Software Engineering, Wuhan Polytechnic Institute,Wuhan 430070, Chi

会议类型: 国际会议

会议名称: International Conference on Surface Finishing Technology & Surface Engineering(2010年中国国际光整加工技术学术会议 ICSFT 2010)

会议地点: 广州

会议语种:英文

页码: 314-318

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）