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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。
Taking the vertical vibration phenomenon of rolling mill as the research object and combining the research results of the vertical vibration of the mill in recent years, it is concluded that one of the main reasons for the vertical vibration of the rolling mill is the change of the friction coefficient of the roll gap due to the increase of the rolling speed, Conditions thus produce vertical vibration. The performance parameters of the rolling emulsion and the friction coefficient between the roll gap is directly related to the nonlinear relationship between the various performance parameters also affect each other. Therefore, the method of BP neural network is used to seek the nonlinear relationship between the two. According to the relationship and the rolling situation, the suitable roll gap friction coefficient can be obtained by properly adjusting the performance parameters of the emulsion to ensure the stable operation of the rolling mill.