摘要
以轧机系统的垂振现象为研究对象,结合近年来轧机垂振问题的研究成果分析得出,轧机垂振主要原因之一是由于轧速的提高导致辊缝摩擦因数发生改变,形成轧机垂振条件从而产生垂振。轧制乳化液的各项性能参数与辊缝间的摩擦因数有着直接关系,其为非线性关系,并且各项性能参数之间也相互影响。故运用BP神经网络的方法寻求两者之间的非线性关系,并依据此关系和轧制情况,通过适当调节乳化液各性能参数得到合适的辊缝摩擦因数,从而保证轧机稳定运行。
For the vertical vibration phenomenon of rolling, combining the recent achievements of mill vertical vibration, the main reason of mill vertical vibration was analyzed, namely, the increase of rolling speed led to the change of roll gap friction coefficient which caused mill vertical vibration. There was a direct relationship between performance parameters of rolling emulsion and roll gap friction coefficient, wihich was non-linear, and the performance parameters interacted with each other. Therefore, the non-linear relationship was searched by BP neural network, and based on this relationship and rolling situation, the performance parameters of emulsion were appropriately adjusted to obtain the suitable roll gap friction coefficient in order to ensure stable operation of the mill.
出处
《锻压技术》
CAS
CSCD
北大核心
2015年第12期67-70,共4页
Forging & Stamping Technology
基金
江苏高校品牌专业建设工程资助项目(PPZY2015B186)
关键词
轧机
垂振
乳化液
摩擦因数
rolling mill
vertical vibration
emulsion lubricants
friction coefficient