The studies will be carried out using optical metrology methods on a Walter Helicheck inspection machine in reflected light and a number of images were stored to form a statistical sample. Established new indicators and criteria for grinding efficiency based on image processing of the helical groove of the end mill. As a result, recommendations for the selection of optical control techniques were made for the first time at the intermediate stage of technological preparation for production, in real time, and after processing. In this work, for the first time, we prove the possibility of determining the camera displacement pith distance during continuous scanning of the profile of a helical surface in a radial section, the measurement accuracy and recreating a three-dimensional model of the object. As a result of the work of the new algorithm using the Haar-wavelet with new indicators, it was established that the actual one is located inside the focal zone, which proves the possibility of applied application of the method of monitoring the shape of helical flute of end mills using computer vision. The measurement accuracy of the helical flute increased from 4 to 12% along its profile.
A method for microprocessing products with a shaped generatrix by remote the product from the image is proposed, which provides an increase in productivity without loss of quality. The method allows you to recreate an object based on image reconstruction with basic accuracy requirements and establish a rational trajectory of the turning tool on CNC machines. The method is implemented as follows: a cylindrical workpiece is fixed in the machine spindle, the plate is installed in the turning body cutter, a preliminary positioning of the cutter is performed and its fixation in the working area of the machine with a special trajectory of movement obtained on the basis of the recognized profile of the product during reverse engineering. As a result, the new method allows increasing the productivity of the treated surface up to 2 times, depending on the shape and accuracy of the object being reconstructed.
In this paper, a set of indicators for an effective assessment of the cutting ability of a grinding wheel was established based on the detection of the degree of filling and immersion of abrasive edges. It has been pointed out that a profile of a populated circle has a direct correlation with the average number of recognized faces. A new indicators for measuring zones with active edges and their distribution on the surface of a grinding wheel was developed, which can be identified by the models algorithms, is formed
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