Enhancing Efficiency in Electric Arc Furnace Steelmaking: A Multi‐Objective Optimization Approach Using the Non‐Dominated Sorting Genetic Algorithm II

IF 1.9 3区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING
Xiaoyu Yi, Qiang Yue, Zhihe Dou, Qingcai Bu
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Abstract

To realize the overall optimization of electric arc furnace (EAF) steelmaking system, a multi‐objective optimization model including smelting cost, energy consumption per ton of steel, and carbon emission per ton of steel is established. The model is optimized by multi‐objective genetic algorithm to improve the charging structure. At the same time, the data in the optimal solution set are used to analyze the influence of the change of scrap ratio on smelting cost, carbon emission per ton of steel, and smelting cycle. According to the actual working conditions and the demand of steel plant, the optimized results are selected. Compared with the actual production data, the proportion of scrap steel increases to 50.9%, the ratio of molten iron decreases to 38.8%, the smelting cost per ton of steel decreases by 12 Yuan, the energy consumption per ton of steel decreases by 4%, the carbon emission per ton of steel significantly decreases by 13%, and the smelting cycle is shortened by 2 min, but at the cost of increasing the power consumption per ton of steel. The optimized results and the analysis of the change of scrap ratio provide reference for the optimization of EAF steelmaking system.
提高电弧炉炼钢效率:使用非支配排序遗传算法 II 的多目标优化方法
为实现电弧炉炼钢系统的整体优化,建立了包括冶炼成本、吨钢能耗和吨钢碳排放在内的多目标优化模型。通过多目标遗传算法对模型进行优化,以改善装料结构。同时,利用最优解集中的数据分析废钢比变化对冶炼成本、吨钢碳排放和冶炼周期的影响。根据钢铁厂的实际工况和需求,选出优化结果。与实际生产数据相比,废钢比例增加到 50.9%,铁水比例降低到 38.8%,吨钢冶炼成本降低 12 元,吨钢能耗降低 4%,吨钢碳排放大幅降低 13%,冶炼周期缩短 2 min,但代价是吨钢电耗增加。优化结果和废钢比变化分析为电弧炉炼钢系统优化提供了参考。
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来源期刊
steel research international
steel research international 工程技术-冶金工程
CiteScore
3.30
自引率
18.20%
发文量
319
审稿时长
1.9 months
期刊介绍: steel research international is a journal providing a forum for the publication of high-quality manuscripts in areas ranging from process metallurgy and metal forming to materials engineering as well as process control and testing. The emphasis is on steel and on materials involved in steelmaking and the processing of steel, such as refractories and slags. steel research international welcomes manuscripts describing basic scientific research as well as industrial research. The journal received a further increased, record-high Impact Factor of 1.522 (2018 Journal Impact Factor, Journal Citation Reports (Clarivate Analytics, 2019)). The journal was formerly well known as "Archiv für das Eisenhüttenwesen" and "steel research"; with effect from January 1, 2006, the former "Scandinavian Journal of Metallurgy" merged with Steel Research International. Hot Topics: -Steels for Automotive Applications -High-strength Steels -Sustainable steelmaking -Interstitially Alloyed Steels -Electromagnetic Processing of Metals -High Speed Forming
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