Controllable Points Setting Method for Plan View Pattern Control in Plate Rolling Process

Abstract

Traditional Mizushima automatic plan view pattern control system (MAS) can improve plate rectangular to some extent; as setting curve is not fine, and products yield cannot be further improved, controllable points setting method for plan view pattern control (PVPC) in plate‐rolling process is proposed. Prediction model of head metal flow pattern including broadening coefficient is deduced, Gaussian mixture model is introduced, and three Gaussian curves with different shapes are weighted to obtain functional expression. To study the influence of different controllable points setting and relationship between the elongation coefficients, finite element method is used with different broadening and elongation ratio; simulation results show that different points setting can get similar cut loss length when the broadening ratio equals 1.45, but either the broadening ratio decreases to 1.15 or increases to 1.75, the cut loss with more set points can be decreased to a great extent. Practical application show that comprehensive yield with traditional PVPC is 92.28%, and comprehensive yield is significantly improved to 93.36%, as PVPC with controllable points method is used without reducing the efficiency of production. It creates remarkable economic benefit for enterprises and greatly enhances their competition ability.