Research On The Feasibility Of Grinding Wheel Topography Detection With Binocular Vision

During grinding, the machining performance of the tools and the surface quality of the workpiece are decided not only by the structure property but also by the topography of the grinding wheel under certain processing 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. The device of shooting binocular images has been designed in order to obtain a pair of images of one special grain of the grinding wheel. It could ensure the move space precisely according to the demands of the ways of binocular vision. 2. 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. 3. Through the study of different algorithm of binocular vision matching, the gray template matching algorithm is selected. The optimum window size is obtained by a series of Ds curves. The result showed that the character points could be matched perfectly in the corresponding right digital image. 4. 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. The means of binocular vision is proved to be succeededly engaged in the detection of grinding wheel topography.