ANALYSIS OF PARAMETERS AND MODELING OF WEAR ROLLS OF HIGH-SPEED WIRE BLOCKS

Abstract

Research on the study of features and modeling of wear of rolls remains relevant, due to the need to predict the stability of rolls and determine their costs. The importance of such research increases with the introduction of new roll materials, in particular tungsten carbide alloys.
 The processes of hot rolling are characterized by the simultaneous action of several main mechanisms of wear. Various models for predicting wear are known for these mechanisms, but under current conditions there is a need to develop local models that take into account the peculiarities of technology. Such conditions include high-speed wire blocks.
 The aim of this work is to analyze the parameters of high-speed rolling according to the level of their impact on the wear of the rolls and to develop a model of wear of the rolls of the unit based on the actual wear of several sets of rolls. For the analysis the results of measurements of wear of four sets of rolls which were executed by an optical method and calculated parameters of rolling on usual technology are used. Correlation analysis was performed, using the indicator of wear intensity, as the ratio of maximum wear to the amount of rolled metal in the caliber. A linear dependence was chosen to build the regression model.
 According to the results of the analysis of the wear rate and rolling parameters in the high-speed wire block, it is established that the well-known tribological rolling parameters vary according to the block modules in a rather narrow range, which does not reveal their effect on wear. That is, the effect of these parameters is approximately the same for all modules of the unit, so it is not statistically confirmed.
 The correlation analysis revealed the most significant parameters of rolling by the effect on the wear rate, namely the relative velocity of the cell, the elongation coefficient and the cell shape parameter. For these parameters, a regression model was obtained to determine the wear rate. The model confirms the adequacy and provides an acceptable level of accuracy in determining the wear of the rolls of the block.
 The obtained regression model can be used to determine the durability grooves rolls of the block and predict the expense of rolls, as well as to adjust the technological parameters to reduce wear and expense of rolls.