A Prediction Method of Strip Surface Roughness in Rolling Process

Abstract

The invention provides a forecasting method for the surface roughness of strip steel in the rolling process and belongs to the technical field of plate strip rolling. According to the method, on the basis of batch collection of industrial production site data, data of the initial surface roughness of a working roller, the surface roughness of the strip steel and production process parameters of the strip steel are obtained; by adopting a regression analysis method, the regression coefficient is calculated by utilizing a least square method; and independent variables with insignificant influence on dependent variables are eliminated one by one through a F test, and accordingly a forecasting model of the surface roughness of the strip steel is obtained. According to the forecasting method, considered process factors are more comprehensive, the principle is simple, the calculation process is convenient, and actual site process parameters can be fully utilized.

Description

technical field [0001] The invention relates to the technical field of strip rolling, in particular to a method for predicting the surface roughness of strip steel during rolling. Background technique [0002] Surface morphology is one of the most important surface quality indicators of cold-rolled strip steel, which has an important impact on the stamping performance of high-end automobile panels and home appliance panels, and the bonding force between the paint surface and the substrate after roller coating or spraying. In order to realize the full independence and localization of my country's high-end automobile panels and home appliance panels, in the upgrading of major steel products in the downstream steel industry, the requirements for "improving the surface quality and quality stability of products" have been clearly put forward for the strip steel of the automobile industry and home appliance industry. . [0003] According to the production characteristics of the st...

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Problems solved by technology

However, the basic principles of the two models are similar. For the attenuation of the surface roughness of the work rolls in the continuous cold rolling production process, it is considered that it is mainly related to the original roughness of the work rolls and the rolling kilometers after the roll change, and the rolling mileage is ignored. Influence of factors such as process parameters, strip material and specifications

[0005] In the rolling process, the surface morphology of the strip is affected by many factors, so that there is no strict transfer relationship between the roll and the surface morphology of the steel plate. Under different rolling conditions and rolling different steel plates, The transfer efficiency of the surface topography is different, which makes the prediction of the surface topography of the steel plate very difficult

If the influence of some factors on the surface topography is ignored, it will cause the prediction model to distort the true value

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