Research and practice of converter energy model based on on-line dynamic scrap yield

GAN Junjie1,ZHANG Liqiang1,LONG Haishan2,XIA Jinkui3,ZHANG Benliang1,4, ZHANG Chaojie1

Journal of Iron and Steel Research ›› 2023, Vol. 35 ›› Issue (12) : 1483-1495.

Journal of Iron and Steel Research ›› 2023, Vol. 35 ›› Issue (12) : 1483-1495. DOI: 10.13228/j.boyuan.issn1001-0963.20230048
Smelting and Working

Research and practice of converter energy model based on on-line dynamic scrap yield

  • GAN Junjie,ZHANG Liqiang,LONG Haishan,XIA Jinkui,ZHANG Benliang, ZHANG Chaojie
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Abstract

Abstract: To address the issue of insufficient heat source in the converter due to a decrease in the ratio of molten iron during steelmaking, a heating agent needs to be added to balance the heat balance in the furnace. In order to more accurately control the amount of heating agent added in the converter, a converter energy model was constructed based on material balance and heat balance, and an adaptive algorithm for scrap recovery rate based on dynamic cycle optimization was proposed. Simultaneously, the endpoint hit situation of historical heats was used as dynamic feedback to improve the robustness and computational accuracy of the converter energy model. The practical application results of this model in a 120 ton converter of a plant show that the balance of heat balance in the converter can be achieved by adding heating agents under low iron consumption. On average, 353.75kg of coke and 54.25kg of silicon iron are added to each furnace, achieving an increase in the average scrap ratio of the converter from 19.9% to 22.0%. By using the converter energy model to control the amount of heating agent added, it is possible to update the heat balance in the furnace in a timely manner when the composition and temperature of the incoming raw materials change, thereby rationalizing the amount of heating agent used, increasing the scrap ratio, ensuring economic efficiency and stability of the smelting process, and having broad industrial application value.

Key words

Key words:converter steelmaking / algorithm development / scrap yield / endpoint control / mathematical model

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GAN Junjie1,ZHANG Liqiang1,LONG Haishan2,XIA Jinkui3,ZHANG Benliang1,4, ZHANG Chaojie1. Research and practice of converter energy model based on on-line dynamic scrap yield[J]. Journal of Iron and Steel Research, 2023, 35(12): 1483-1495 https://doi.org/10.13228/j.boyuan.issn1001-0963.20230048

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