Prediction method of friction coefficient of cold rolling mill

Abstract

The invention provides a cold continuous rolling mill friction coefficient forecasting method which includes the steps: (1) screening related data; (2) calculating an empirical practical friction coefficient; (3) building a friction coefficient forecasting model; (4) building the forecasting method. Main factors influencing the friction coefficient are found out from influence factors of the friction coefficient and include steel grades, rolling speed, original roughness of rollers and rolling mileages, the data are divided into an experimental data set and a testing data set based on acquired rolling process data according to different steel grades and different frames, the experimental data set is used for fitting a curve and building a new calculation formula, and the testing data set is used for testing and verifying a calculation result. The cold continuous rolling mill friction coefficient forecasting method performs multivariate regression analysis for the data by the aid of a Mathematica7.0 analysis tool, and set accuracy of the frames can be improved.

Description

Technical field: [0001] The invention relates to a method for predicting the friction coefficient of a cold continuous rolling mill, which belongs to the technical field of iron and steel metallurgy. Background technique: [0002] The rolling force setting is one of the most important control parameters in the acid rolling process control system, and the friction coefficient is an important parameter in the calculation of the rolling force, and the accuracy of its prediction is directly related to the precision of the rolling force setting. Factors affecting the friction coefficient in the high-speed rolling process of the cold tandem mill include: pass reduction rate, rolling speed, thickness of the rack entrance and exit, strip deformation resistance, emulsion quality, flow rate, concentration, temperature, and roll roughness , rolling kilometers, etc. The original friction coefficient calculation formula in the computer process control system is as follows: [0003] ...

AI Technical Summary

Problems solved by technology

Obviously, under the two different rolling methods of bare roll and rough roll, even if the roll rolls the same number of coils, the total length of rolling and the degree of wear of the roll are very different, especially for the smooth roll rolling method, The prediction method of the above friction coefficient is relatively rough, which will inevitably affect the calculation accuracy of the rolling force, thereby affecting the control accuracy of the strip thickness, and even causing the strip to break when the rolling mill starts

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