摘要
根据生产现场16M nR中厚板的开冷温度、终冷温度、辊道速度和上下集管开启数目等主要工艺参数的测定值和钢板力学性能的测定值,利用统计回归分析所得的相关数学模型结合模糊聚类分析-模糊识别分析数学模型,建立了预测中厚板控制冷却后屈服强度σs和抗拉强度σb的相关数学模型,对给定工艺参数条件下的中厚板控冷性能进行模拟预测。通过计算和分析表明实测值与预测值基本相吻合,证明所用的方法是正确的,经进一步的大量验证后可应用在实际生产中。
Based on measured value of main parameters of cooling and mechanical property of 16MnR medium and heavy plate such as initial cooling temperature in Anshan Iron and Steel Company board,end cooling temperature,speed of roll way,number of gather the piping,the mathematical model for predication of yield and tensile strength of medium and heavy plate has been established by relative mathematical model obtained by statistic regression analysis combined with fuzzy clustering and fuzzy identification mathematical model. The results show that the relative error between predicting value and measured value of yield strength of 16 MnR medium and heavy plate isl. 87%~3.58%,and the relative error of tensile strength is 1.38%~7. 47%. The actual value and the forecast value basic tally, proved uses the method is correct, may apply after the further massive confirmations in the actual production.
出处
《装备制造技术》
2006年第3期36-40,共5页
Equipment Manufacturing Technology
关键词
控制冷却
抗张性能
力学性能预测
模糊分析
Controlled Cooling
Tensile Property
Predication of Mechanical Property
Fuzzy Analysis