Optimization of alkali metals discharge performance of blast furnace slag and its extreme value model
In order to improve the alkali metals discharge capacity of slag, the gas-slag balance method was used to carry out the slag alkali metals discharge experiments, the effect of slag composition on alkali metals discharge performance of slag was studied, some suggestions were put forward to optimize t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2022-05-01
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| Series: | High Temperature Materials and Processes |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/htmp-2022-0013 |
| _version_ | 1811236627309133824 |
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| author | Chen Yan-bo Deng Yong Liu Ran Chen Li-da Guo Xing-min |
| author_facet | Chen Yan-bo Deng Yong Liu Ran Chen Li-da Guo Xing-min |
| author_sort | Chen Yan-bo |
| collection | DOAJ |
| description | In order to improve the alkali metals discharge capacity of slag, the gas-slag balance method was used to carry out the slag alkali metals discharge experiments, the effect of slag composition on alkali metals discharge performance of slag was studied, some suggestions were put forward to optimize the alkali metals discharge performance of slag and the extreme value model was established. The results show that the alkali metals discharge ratio of slag decreased with the increase in the binary basicity and mass fraction of TiO2, and increased with the increase in the mass fraction of MgO, Al2O3 and MnO. The change in slag composition led to the change in the solubility of alkali metal oxides in liquid slag, decomposition of alkali metal silicates, structure of the slag in liquid state and viscosity of the slag, and then affected the alkali metals discharge performance of slag. The ability of slag to absorb alkali metals was certain under the condition of fixed composition. With the help of slag alkali metals discharge extreme value model, whether the current slag meets the needs of blast furnace alkali metals discharge could be evaluated. The alkali metals discharge capacity of slag could be improved by optimizing the alkali metals discharge performance of slag combined with experiments and actual production. |
| first_indexed | 2024-04-12T12:11:10Z |
| format | Article |
| id | doaj.art-4c31acc01b5e4366a9e6f7c38704d097 |
| institution | Directory Open Access Journal |
| issn | 2191-0324 |
| language | English |
| last_indexed | 2024-04-12T12:11:10Z |
| publishDate | 2022-05-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | High Temperature Materials and Processes |
| spelling | doaj.art-4c31acc01b5e4366a9e6f7c38704d0972022-12-22T03:33:34ZengDe GruyterHigh Temperature Materials and Processes2191-03242022-05-0141130631410.1515/htmp-2022-0013Optimization of alkali metals discharge performance of blast furnace slag and its extreme value modelChen Yan-bo0Deng Yong1Liu Ran2Chen Li-da3Guo Xing-min4School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaInstitute for Metallurgical Engineering and Technology, North China University of Science and Technology, Tangshan 063210, Hebei, ChinaInstitute for Metallurgical Engineering and Technology, North China University of Science and Technology, Tangshan 063210, Hebei, ChinaInstitute for Metallurgical Engineering and Technology, North China University of Science and Technology, Tangshan 063210, Hebei, ChinaSchool of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaIn order to improve the alkali metals discharge capacity of slag, the gas-slag balance method was used to carry out the slag alkali metals discharge experiments, the effect of slag composition on alkali metals discharge performance of slag was studied, some suggestions were put forward to optimize the alkali metals discharge performance of slag and the extreme value model was established. The results show that the alkali metals discharge ratio of slag decreased with the increase in the binary basicity and mass fraction of TiO2, and increased with the increase in the mass fraction of MgO, Al2O3 and MnO. The change in slag composition led to the change in the solubility of alkali metal oxides in liquid slag, decomposition of alkali metal silicates, structure of the slag in liquid state and viscosity of the slag, and then affected the alkali metals discharge performance of slag. The ability of slag to absorb alkali metals was certain under the condition of fixed composition. With the help of slag alkali metals discharge extreme value model, whether the current slag meets the needs of blast furnace alkali metals discharge could be evaluated. The alkali metals discharge capacity of slag could be improved by optimizing the alkali metals discharge performance of slag combined with experiments and actual production.https://doi.org/10.1515/htmp-2022-0013blast furnaceslag alkali metals dischargeinfluence mechanismperformance optimizationextreme value model |
| spellingShingle | Chen Yan-bo Deng Yong Liu Ran Chen Li-da Guo Xing-min Optimization of alkali metals discharge performance of blast furnace slag and its extreme value model High Temperature Materials and Processes blast furnace slag alkali metals discharge influence mechanism performance optimization extreme value model |
| title | Optimization of alkali metals discharge performance of blast furnace slag and its extreme value model |
| title_full | Optimization of alkali metals discharge performance of blast furnace slag and its extreme value model |
| title_fullStr | Optimization of alkali metals discharge performance of blast furnace slag and its extreme value model |
| title_full_unstemmed | Optimization of alkali metals discharge performance of blast furnace slag and its extreme value model |
| title_short | Optimization of alkali metals discharge performance of blast furnace slag and its extreme value model |
| title_sort | optimization of alkali metals discharge performance of blast furnace slag and its extreme value model |
| topic | blast furnace slag alkali metals discharge influence mechanism performance optimization extreme value model |
| url | https://doi.org/10.1515/htmp-2022-0013 |
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