On modern rolling mills, manufacturers have the possibility to use a wide range of materials with technologically determined properties, which allows for effective use of rolls and improvement of technical and economic indicators of production processes. Reasonable choice of materials and properties of rolls is impossible without reliable methods of calculating the strength and predicting the service life of the rolls. In particular, increasing of the reliability of methods for calculating the fatigue strength of rolls is an urgent task, both for scientists and for technologists and specialists of rolling mills.
 The purpose of the work is to study the features of fatigue calculation of rolls based on the predicted number of load cycles. The work solves the problem of assessing the possibility of applying a known method of determining the predicted number of load cycles and studying the features of such a method for rollsofrolling mills.
 The method of calculation based on the approximation of Woehler curves for the roll material by Beskin's power dependence within the zone of high cycle fatigue, which was determined by the number of cycles from 1·103 to 5·106, was considered. It has been proven that such a technique can be used for rolls into account the identified features. The main features of the calculation of rolls for fatigue strength include: a symmetrical cycle of changes in bending stresses and a pulsating cycle of changes in torsional stresses; mandatory consideration of working conditions due to the modified endurance limit of the material; compliance with the condition that the working stresses exceed the modified endurance limit, but are less than the admissible stresses for the roll material; taking into account the stress concentration depending on the shape of the grooves that form the passes. Consider influence the effect of stress concentration in the grooves of the rolls requires clarification based on empirical data of a certain rolling mill.
 The application of the fatigue calculation method for rolls, with considerthe identified features, will allow to increase the accuracy of determining the predicted terms of operation of the rolls and determining their consumption.
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