Research on Multi-Decision Sinter Composition Optimization Based on OLS Algorithm
The adjustment of sintering raw materials has a decisive influence on the composition of blast furnace slag and the properties of sinter. In order to smelt high-quality molten iron in the blast furnace, the composition of the sinter must be properly adjusted so that the composition of the blast furn...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Metals |
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| Online Access: | https://www.mdpi.com/2075-4701/13/3/548 |
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| author | Shilong Feng Bin Wang Zixing Zhou Tao Xue Aimin Yang Yifan Li |
| author_facet | Shilong Feng Bin Wang Zixing Zhou Tao Xue Aimin Yang Yifan Li |
| author_sort | Shilong Feng |
| collection | DOAJ |
| description | The adjustment of sintering raw materials has a decisive influence on the composition of blast furnace slag and the properties of sinter. In order to smelt high-quality molten iron in the blast furnace, the composition of the sinter must be properly adjusted so that the composition of the blast furnace slag and the metallurgical properties of the sinter are optimal for the quality of the iron and are conducive to the smooth operation of the blast furnace. In view of the huge difference in the quality and price of sintering raw materials, this paper proposes an automatic sintering ore blending model to quickly configure sintering raw materials according to the requirements of the production line. This method is based on the calculation process of blast furnace charge, combined with the constraints of process composition and cost performance, to establish a multi-decision sintering ore blending model based on the OLS(Ordinary least squares) algorithm to automatically screen from available raw materials and give the sinter that meets the requirements of the furnace. The plan finally makes TFe, CaO, MgO, SiO<sub>2</sub>, TiO<sub>2</sub>, Al<sub>2</sub>O<sub>3</sub>, P, Mn, Na<sub>2</sub>O, K<sub>2</sub>O, Zn, and other components meet the requirements of the production line, and meet the cost performance requirements of the enterprise for sinter. The model can complete the screening and proportioning of 43 kinds of raw materials within 10 s, and its performance can meet the requirements of the production of variable materials. Combined with an example, a comparative analysis experiment is carried out on the accuracy and practicability of the designed sintering and ore blending model. The experimental results show that the accuracy and efficiency of the method proposed in this paper are higher than those of the current ore blending scheme designed by enterprise engineers. This method can provide an effective reference for the stable operation of the sintering production line. |
| first_indexed | 2024-03-11T06:10:15Z |
| format | Article |
| id | doaj.art-6bb38484713a4b23826d5549dbf2114d |
| institution | Directory Open Access Journal |
| issn | 2075-4701 |
| language | English |
| last_indexed | 2024-03-11T06:10:15Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metals |
| spelling | doaj.art-6bb38484713a4b23826d5549dbf2114d2023-11-17T12:39:17ZengMDPI AGMetals2075-47012023-03-0113354810.3390/met13030548Research on Multi-Decision Sinter Composition Optimization Based on OLS AlgorithmShilong Feng0Bin Wang1Zixing Zhou2Tao Xue3Aimin Yang4Yifan Li5College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, ChinaNingxia Jianlong Industrial Co., Ltd., Shizuishan 753204, ChinaNingxia Jianlong Industrial Co., Ltd., Shizuishan 753204, ChinaHebei Engineering Research Center for the Intelligentization of Iron Ore Optimization and Ironmaking Raw Materials Preparation Processes, North China University of Science and Technology, Tangshan 063210, ChinaHebei Engineering Research Center for the Intelligentization of Iron Ore Optimization and Ironmaking Raw Materials Preparation Processes, North China University of Science and Technology, Tangshan 063210, ChinaHebei Engineering Research Center for the Intelligentization of Iron Ore Optimization and Ironmaking Raw Materials Preparation Processes, North China University of Science and Technology, Tangshan 063210, ChinaThe adjustment of sintering raw materials has a decisive influence on the composition of blast furnace slag and the properties of sinter. In order to smelt high-quality molten iron in the blast furnace, the composition of the sinter must be properly adjusted so that the composition of the blast furnace slag and the metallurgical properties of the sinter are optimal for the quality of the iron and are conducive to the smooth operation of the blast furnace. In view of the huge difference in the quality and price of sintering raw materials, this paper proposes an automatic sintering ore blending model to quickly configure sintering raw materials according to the requirements of the production line. This method is based on the calculation process of blast furnace charge, combined with the constraints of process composition and cost performance, to establish a multi-decision sintering ore blending model based on the OLS(Ordinary least squares) algorithm to automatically screen from available raw materials and give the sinter that meets the requirements of the furnace. The plan finally makes TFe, CaO, MgO, SiO<sub>2</sub>, TiO<sub>2</sub>, Al<sub>2</sub>O<sub>3</sub>, P, Mn, Na<sub>2</sub>O, K<sub>2</sub>O, Zn, and other components meet the requirements of the production line, and meet the cost performance requirements of the enterprise for sinter. The model can complete the screening and proportioning of 43 kinds of raw materials within 10 s, and its performance can meet the requirements of the production of variable materials. Combined with an example, a comparative analysis experiment is carried out on the accuracy and practicability of the designed sintering and ore blending model. The experimental results show that the accuracy and efficiency of the method proposed in this paper are higher than those of the current ore blending scheme designed by enterprise engineers. This method can provide an effective reference for the stable operation of the sintering production line.https://www.mdpi.com/2075-4701/13/3/548sintering decisionsintersintering change material |
| spellingShingle | Shilong Feng Bin Wang Zixing Zhou Tao Xue Aimin Yang Yifan Li Research on Multi-Decision Sinter Composition Optimization Based on OLS Algorithm Metals sintering decision sinter sintering change material |
| title | Research on Multi-Decision Sinter Composition Optimization Based on OLS Algorithm |
| title_full | Research on Multi-Decision Sinter Composition Optimization Based on OLS Algorithm |
| title_fullStr | Research on Multi-Decision Sinter Composition Optimization Based on OLS Algorithm |
| title_full_unstemmed | Research on Multi-Decision Sinter Composition Optimization Based on OLS Algorithm |
| title_short | Research on Multi-Decision Sinter Composition Optimization Based on OLS Algorithm |
| title_sort | research on multi decision sinter composition optimization based on ols algorithm |
| topic | sintering decision sinter sintering change material |
| url | https://www.mdpi.com/2075-4701/13/3/548 |
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