Research On The Grinding Wheel Topography Detection With Binocular Vision

In grinding process, the machining performance and surface quality are decided by grinding wheel topography in particular grinding parameters. Due to the complexities of the grain shape and the working condition, the detection of grinding wheel topography has been a difficult problem for a long time. Detective research on the model of the protruding height of the grains by the means of binocular vision has been performed in this paper. The main work could be summarized as follows ,1. Some pretreatment algorithms such as gray images algorithms, two value images algorithms, and edge detection algorithms have been discussed. Moreover, the disadvantages and merits of these algorithms have also been studied respectively. Finally, all these algorithms have been programmed to validate their efficiency.2. Through the study of different algorithm of binocular vision matching, the gray template matching algorithm is selected. The result showed that the character points could be matched perfectly in the corresponding right digital image.3. The algorithm of the protruding height of grain model has been verified experimentally. Algorithm code has been programmed and utilized to validate the algorithm of binocular vision by calculating the height of grain. The experimental results indicate that the error is in the accepted range.4. The factors which caused the measuring errors have been analyzed and the corresponding methods to the control errors were proposed.5. According to measured the height of characteristic points, the experiment of diamond's three dimensional reconstraction has been carried on. The means of binocular vision is proved to be successfully engaged in the detection of grinding wheel topography.