Application of cluster analysis on optimization of rolling force learning

来源 :Baosteel Technical Research | 被引量 : 0次 | 上传用户:nilaomei
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The rolling force learning function is an important part of the hot strip parameter calculation process, and the steel classification is the basis of the model parameter calculation,which has a direct impact on the model calculation precision,and the classification of steel quality will directly affect the accuracy of the model calculation.This paper is for the classification of a certain type of steel,in order to find the optimal classification of steel model to achieve greater precision of the rolling force set.Cluster analysis is a method for the study of affinities between samples or variables,in which Distance Coefficient method can be used to demonstrate the differences between the equivalent measured values of the steel deformation resistance in hot strip rolling.Based on the characteristics of the steel components the composition calculation formula CEQ is created by the trial and error method,so as to achieve the consistency between the CEQ and the equivalent deformation resistance by cluster analysis,that is the composition calculation formula CEQ can be used to characterize the equivalent deformation resistance of the steel in hot rolling.In the actual production process,through the composition formula CEQ,the classification of the steel is made,by which the steel rolling force learning calculation is classified and the rolling force setup deviation is reduced,the rolling stability is improved. The rolling force learning function is an important part of the hot strip parameter calculation process, and the steel classification is the basis of the model parameter calculation, which has a direct impact on the model calculation precision, and the classification of steel quality will directly affect the accuracy of the model calculation.This paper is for the classification of a certain type of steel, in order to find the optimal classification of steel model to achieve greater precision of the rolling force set. Cluster analysis is a method for the study of affinities between samples or variables, in which Distance Coefficient method can be used to demonstrate the differences between the equivalent measured values ​​of the steel deformation resistance in hot strip rolling. Based on the characteristics of the steel components the composition calculation formula CEQ is created by the trial and error method, so as to achieve the consistency between the CEQ and the equivalent deformation resis tance by cluster analysis, that is the composition calculation formula CEQ can be used to characterize the equivalent deformation resistance of the steel in hot rolling. In the actual production process, through the composition formula CEQ, the classification of the steel is made, by which the steel rolling force learning calculation is classified and the rolling force setup deviation is reduced, the rolling stability is improved.
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