中厚板轧机轧辊磨损预测

基于对中厚板轧辊磨损模型的分析,探讨了适合在线应用的轧辊磨损回归解析模型·采用现场实际的轧辊磨损数据,将轧辊的磨损沿辊身分布上进行统计,将轧辊磨损量考虑为沿轧辊长度方向的函数并用来预测下一轧制周期内的轧辊磨损·对首钢3500mm中厚板轧机的轧辊磨损进行了预测和实际的测量,并进行了解析分析·应用结果表明:磨损预测值与实测值吻合较好,能够比较显著地提高磨损模型的预报精度,从而为中厚板的厚度精度、板形和板凸度控制提供了良好的基础·

Roll Wear Prediction for Plate Mill

Discussing the existing emperical formulae of roll wear due to plate rolling, an on-line roll wear model based on regression analysis was studied utilizing the wear-out data acquired in situ. Based on the statistical wear-out distribution along roll barrel, the wearing value of a roll is considered as a function of roll length to predict the roll wear in next rolling period. A prediction by relevant model based on statistical regression analysis and measurement were both carried out for roll wear, with a roll taken from the 3500mm plate mill in Shougang Steel Plant as specimen. The comparison shows that the predicted values have a goodness of fit with measured values. The roll wear prediction model can improve significantly the precision of calculated values of roll wear obtained improve significantly the precision of calculated values of roll wear obtained from empirical formula, this providing favorable controls of thickness precision, shape and crowning of plates.