Detection of Grinding Surfaces Quality Based on Image Technique
Aiming at different grinding surfaces of hardened bearing steel GCr15, this paper made experimental research on detection method of surface roughness based on image technique. Adopting cold light source and five kinds of LED light sources, such as low- angle light, collimated light and coaxial light, we analyzed image characteristics of grinding surface under different processing conditions and found that there was a good correlation between standard deviation of gray variance and roughness of grinding surface. In comparison with the results from traditional surface roughness measuring instrument, we gained the corresponding relation between different grinding surface roughness and standard deviation of image gray variance. It was proved by calculating that they have a good correlativity.
Grinding surface roughness Image detection Standard deviation of gray variance LED GCr15
Xianli Liu Chunya Wu Yizhi Liu Fugang Yan Yufu Li Peng Wang
Key College Laboratory of Advanced Manufacturing Technology & Cutting Tools, Harbin Univ. of Sci. and Tech., Harbin, China, 150080
国际会议
第14届全国磨粒技术学术会议(14th Conference of Abrasive Technology in China)
南京
英文
499-503
2007-10-26（万方平台首次上网日期，不代表论文的发表时间）