The unreasonably high heating process temperature of slab in furnace leads to many heating defects. To avoid these, a multi‐objective optimization method is proposed for furnace temperature setting based on particle swarm optimization (PSO) algorithm. A 2D model of the finite difference scheme, in which the thickness and width were unequally partitioned, is investigated. The distance between two neighbouring nodes increased with the thickness and width, and the effects of a more detailed grid on the surface or side are observed along with influence of a rough grid in the core. Then, a multi‐objective optimization function of the temperature setting, from which energy consumption and the oxidation and burning loss should be minimized, is established. The PSO algorithm is implemented to calculate the optimal value of the multi‐objective optimization function. The application results show that average temperature differences at the quarter and midpoint thicknesses between the predicted model and measured values decrease from 53.4 to 8.5 °C and 43.6 to 11.4 °C, respectively; furthermore, the average oxidation and burning loss rate decrease from 0.93% to 0.79%. Average energy consumption decreases from 1.57 to 1.33 GJ t−1, thereby considerably reducing the energy consumption of the reheating furnace and minimizing the production cost.
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.
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