Fundamental Research On The Detection Technology Of Grinding Wheel Topography Based On Binocular Vision Principle

The research on the grinding wheel topography has been regarded as one of the important fields in the grinding industry for a long time. When the grinding wheel topography parameters are acquired, such as the effective distance between two adjacent grains, uniform grain height and wear-flat areas, the grinding parameters can be optimized, the wear situation can be controlled, and the working condition can be forecasted. In the grinding process, the grinding wheel topography has both great impact on machinability of the grinding wheel and the surface finished quality of the product, so the detection of the grinding wheel topography is significant to reveal further grinding principles.It is difficult to detect the grinding wheel topography because of its complexity and varying machining conditions, and there are few reports on the production. On the basis of analyzing former methods, the binocular vision technology is used to inspect quantificationally the grinding wheel topography in this paper.The main creative contents in this paper are as follows:(1)According to the optical axis parallel approach, the binocular vision detection system of grinding wheel topography is developed. By using a single camera, the binocular images acquisition is realized with the precise translation of the object.(2)The preprocessing algorithms of digital image are studied. It mainly includes the gray degree processing, scaling and edge extraction algorithm. The characteristic and application scopes of each algorithm are analyzed, and the programming verifications are carried out and the processing results are compared.(3)The template matching algorithm of binocular images based on the light intensity information is studied. By optimizing the template size, there are integrated advantages of high matching precision, the increased noise resistance performance and high speed calculation course of this algorithm.(4)By using self-made standard sample, the binocular vision detection system of grinding wheel topography is calibrated. The system is improved by analyzing error source. The measuring error is less than 5%.(5)The fast corner extraction algorithm based on corner response function is improved. Not only the processing of the resolution of an input image is left out, but also the estimation accuracy of height is guaranteed. By measuring the heights of feature points in the grain surface, the 3D shape of grain is reconstructed.(6) The brazed diamond monolayer grinding wheel topography is detected with the binocular vision detection system. The height of grains, the distance between two adjacent diamond grains are both obtained. This technique has advantages of non-contact, high precision, and intuitionistic measuring results.