Roughness predication and control method for belt steel produced by electric spark textured working roller

Abstract

The invention discloses a roughness predication and control method for belt steel produced by an electric spark textured working roller. On the basis of inter-interface minimum oil film thickness, electric spark textured working roller surface abrasion depth and abrasion surface roughness are obtained by the method, a relation of interface minimum oil film thickness, working roller abrasion depth and belt steel surface roughness provided by the invention can be used for predicating the surface roughness of the cold-rolled belt steel produced by the electric spark textured working roller; a belt steel surface roughness target interval and a roughness predication value are compared; if the roughness predication value is not in the belt steel surface roughness target interval, the rolling speed and the pressing rate are adjusted. Compared with finite element method analysis and an empirical equation obtained by tracking and measuring the belt steel surface roughness, the method has the characteristics of rapid calculation speed and wide applicable range; the method considers the influences on a working roller surface abrasion and roughness copying process by inter-interface oil film distribution in a cold rolling process, and has higher predication precision.

Description

technical field [0001] The invention belongs to the field of plate and strip rolling, and relates to a method for predicting and controlling the roughness of strip steel produced by electric spark texturing work rolls. Background technique [0002] With the continuous improvement of surface quality requirements for high-end cold-rolled automobile panels and home appliance panels, the importance of surface morphology in cold-rolled strip production is increasing. The surface morphology of strip steel has an important influence on the stamping performance of high-end automobile panels and home appliance panels, the bonding force between the paint surface and the substrate after roller coating or spraying; for the production process using the bell annealing process, the surface roughness of the strip steel after cold rolling The probability of bonding of steel coils during annealing in a bell annealing furnace; for the production process using hot-dip galvanizing, the surface m...

AI Technical Summary

Problems solved by technology

However, with the wear of the roll surface roughness, when the roll wears differently, even if the strip steel with the same specifications and process parameters is produced, the lubrication state of the interface will be different, which will further affect the formation of the strip surface roughness

[0008] (3) The prediction formula and control method given in Document 1 are obtained based on the regression analysis of the measurement results of a specific rolling mill production process. Once the rolling mill changes or the characteristics of the strip steel produced change, it cannot be used continuously, so it is less versatile. Poor, not universal

In Document 2 and Document 3, the methods mentioned also have certain limitations:

[0010] (1) The finite element method takes a long time to calculate and cannot be used as a model for online control of surface roughness;

[0011] (2) Both methods do not consider the influence of the oil film distribution between the cold rolling process interface on the roughness copying process

[0012] (3) Both methods do not consider the changes in the surface roughness of the rolls due to wear during the rolling process, and cannot predict and control the surface roughness of all strips produced during the service life of the rolls

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