基于改进鲸鱼优化算法的电加热炉最优钢温模型  

Optimal steel temperature model for electric heating furnace based on improved whale optimization algorithm

作　　者：娄一荻 于庆波 张蕊 Lou Yidi;Yu Qingbo;Zhang Rui(School of Metallurgy,Northeastern University,Shenyang 110819,China)

机构地区：[1]东北大学冶金学院,沈阳110819

出　　处：《材料与冶金学报》2025年第2期154-161,共8页Journal of Materials and Metallurgy

基　　金：国家重点研发计划资助项目(2017YFB0603603);辽宁省兴辽英才计划资助项目(XLYC1802002)。

摘　　要：针对传统燃料加热炉能耗过高、CO_(2)排放量过大这类问题,提出了以绿色电能为能源的加热炉来连续加热钢坯的设想,建立了电加热炉钢坯内部二维瞬态传热模型和以电加热炉能耗最小为目标的最优加热模型,采用一种基于非线性收敛因子和惯性权重的改进鲸鱼优化算法,得到了钢坯的理想升温曲线,并讨论了电加热炉的产量和装钢温度对理想升温曲线和断面温差的影响.结果表明:该数学模型可以准确求出钢坯的理想升温曲线,并且该曲线能够很好地适应电加热炉热送热装和实际产量的变化;在实际情况中,理想升温曲线的相对均方根误差为4.95%.该研究结果可用于指导电加热炉各段能源的分配,达到有效降低电能能耗的目的.To address the issues of high energy consumption and excessive CO_(2) emissions in traditional fuel-fired heating furnaces,a novel concept of utilizing green electric energy to continuously heat steel billets in electric heating furnaces is proposed.A two-dimensional transient heat transfer model for the steel billet inside the furnace and an optimal heating model aimed at minimizing energy consumption are established.An improved whale optimization algorithm,incorporating a nonlinear convergence factor and inertia weight,is employed to determine the optimal heating curve for the billet.Additionally,the influence of furnace production rates and billet charging temperatures on the optimal heating curve and cross-sectional temperature differences is analyzed.Results demonstrate that the proposed mathematical model could accurately predict the optimal heating curve and exhibits strong adaptability to variations in hot charging practices and actual production demands.In practical scenarios,the relative root mean square error of the optimal heating curve is 4.95%.This research provides actionable insights for optimizing energy allocation across furnace zones,effectively reducing electrical energy consumption in industrial applications.

关 键 词：电加热炉 理想升温曲线 改进鲸鱼优化算法 

分 类 号：TG307[金属学及工艺—金属压力加工]