The article considers the schemes of groove arrangement on a partially regular microrelief of type I with coaxial grooves formed on end faces of rotary bodies because of vibration. An analytical dependence was obtained to determine the relative area of a partially regular microrelief depending on the geometrical parameters of the V-shaped grooves. The parameters of the grooves formed at different distances from the center of rotation, with which the relative area of the partially regular microrelief will be the same, are determined. It is found that without adjusting the vibration amplitude of the deforming element, the relative area of the grooves will decrease significantly. The imprint radius of the deforming element and its influence on changes in the relative area of the vibrorolling are also found.
Features of the defect class “scratches, attritions, lines”, their geometric structure, and their causes are analyzed. An approach is developed that defines subclasses within this class of technological defects based on additional analysis of morphological features. The analysis of the reasons for these subclasses allows additional information to be obtained about the rolling process, identifying additional signs of defects, regulating the rolling conditions of steel strips more accurately, and diagnosing the equipment condition.
The impact of the illumination level on the quantitative indicators of mechanical damage of the rolled strip is investigated. To do so, a physical model experiment was conducted in the laboratory. The obtained images of defects at light levels in the range of 2–800 lx were recognized by a neural network model based on the U-net architecture with a decoder based on ResNet152. Two levels of illumination were identified, at which the total area of recognized defects increased: 50 lx and 300 lx. A quantitative assessment of the overall accuracy of defect recognition was conducted on the basis of comparison with data from images marked by an expert. The best recognition result (with Dice similarity coefficient ) was obtained for the illumination of 300 lx. At lower light levels (less than 200 lx), some of the damage remained unrecognized. At high light levels (higher than 500 lx), a decrease in DSC was observed, mainly due to the fact that the surface objects are better visible and the recognized fragments become wider. In addition, more false-positives fragments were recognized. The obtained results are valuable for further adjustment of industrial systems for diagnosing technological defects on rolled metal strips.
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