【摘要】 在大量实测数据的基础上,结合理论分析,用统计方法建立起适合工程应用的支持辊磨损模型.该模型是一个多峰且高度非线性系统的半经验公式,其参数的估计复杂且计算量大.借助于带记忆的模拟退火算法,得到有效的解决.计算结果表明该模型具有较高的预报精度.在武钢2800四辊轧机应用后,取得明显效果.更多还原

【Abstract】 A statistical wear model of backup roll was built up based on a large number of measured data. The model is a multiple extremes and high non-linearity semi-theoretic formula whose pattern and magnitude are hardly defined with classical optimization methods because the computation is large and complex. By using the simulated annealing algorithm with memory, the coefficients in the roll wear model are optimized. The calculation results indicate a higher precision for prediction. After the model was applied in a 2800 4-roll mill of Wuhan Iron and Steel (Group) Co, the plate shape had been notably improved.更多还原