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李昂,陈龙,柳玉杰,等. 基于规划算法的出钢合金化模型[J]. 安徽工业大学学报(自然科学版),xxxx,x(x):x-xx. doi: 10.12415/j.issn.1671-7872.23187
引用本文: 李昂,陈龙,柳玉杰,等. 基于规划算法的出钢合金化模型[J]. 安徽工业大学学报(自然科学版),xxxx,x(x):x-xx. doi: 10.12415/j.issn.1671-7872.23187
LI Ang, CHEN Long, LIU Yujie, FAN Dingdong. Steel Alloying Model Based on Planning Algorithm[J]. Journal of Anhui University of Technology(Natural Science). DOI: 10.12415/j.issn.1671-7872.23187
Citation: LI Ang, CHEN Long, LIU Yujie, FAN Dingdong. Steel Alloying Model Based on Planning Algorithm[J]. Journal of Anhui University of Technology(Natural Science). DOI: 10.12415/j.issn.1671-7872.23187

基于规划算法的出钢合金化模型

Steel Alloying Model Based on Planning Algorithm

  • 摘要: 针对转炉出钢合金化过程中,合金成本高、合金化后成分控制不精确、精炼炉合金补加量大等问题,以中天钢铁集团有限公司第三炼钢厂转炉合金化工艺为研究对象,基于转炉历史冶炼数据进行物料平衡和热平衡计算,建立理论出钢量计算模型;分析历史合金加料数据及配料结构,整合为合金化数据库,结合规划算法建立出钢合金化模型;基于实际生产数据,对比不同模式下合金化命中率及综合经济效益,修正合金化模型,确立最佳合金配料结构;最终以20CrMnTiCQ 钢为试验钢种进行工业试验,验证本文模型的有益效果。结果表明:相比人工加料,本文模型合金加入量更少,合金化成分命中率为100%,且成分控制的精确性及稳定性更高,精炼炉补加合金压力更小,平均合金补加量降低9.3%,吨钢平均降本20.1元。

     

    Abstract: Addressing issues such as high alloy costs, inaccurate composition control of post-alloying compositions, and excessive alloy additions in refining furnaces during the converter steelmaking alloying process, the converter alloying process at the Third Steelmaking Plant of Zenith Iron and Steel Group Co., Ltd. was taken as the subject of study. Based on historical converter smelting data, material balance and thermal balance calculations were conducted to establish a theoretical steel tapping volume calculation model. Historical alloy feeding data and batching structures were analyzed, and integrated into an alloying database. Combined with planning algorithms, a steel tapping alloying model was established. Based on actual production data, the alloying hit rate and comprehensive economic benefits under different modes were compared, and the alloying model was revised to establish the optimal alloy batching structure. Finally, industrial trials were conducted using 20CrMnTiCQ steel as the test steel to verify the beneficial effects of the model proposed in this paper. The results show that compared to manual addition of alloys, the alloy addition amount calculated by the model in this paper is less, achieves a 100% alloying composition hit rate, higher accuracy and stability of composition control, less pressure on LF furnace alloy supplementation, a 9.3% reduction in average alloy supplementation, and an average cost reduction of 20.1 yuan per ton of steel.

     

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