Simulation study on molten steel flow behavior in BB5 super-sized beam blank mold.
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| Title: | Simulation study on molten steel flow behavior in BB5 super-sized beam blank mold. |
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| Authors: | Yang, Xin1 (AUTHOR), Lv, Ming1 (AUTHOR) lvmingsteel@163.com, Gao, Qi2 (AUTHOR), Sun, Xiong-bo1,3 (AUTHOR), Wang, Wen-xue2 (AUTHOR), Hu, Hao1 (AUTHOR) |
| Source: | Metallurgical Research & Technology. 2026, Vol. 123 Issue 3, p1-13. 13p. |
| Subjects: | Continuous casting, Fluid flow, Nozzles, Models & modelmaking, Flow simulations, Steel founding, Molds (Casts & casting) |
| Abstract: | To optimize the quality of super-sized beam blank continuous casting, a 1:1 physical model was constructed, and the impacts of casting speeds (0.65–0.85 m min−1) and depths of submerged entry nozzle (SEN) immersion (80–160 mm) on the flow field characteristics of the mold were investigated by physical simulation. The flow field distribution and surface velocity were analyzed by the PIV technique, and multi-position verification was carried out by combining a wave height meter and a flow velocity meter. The results show that when the casting speed increases from 0.65 to 0.85 m min−1, it will enhance the injection flow energy, the impact depth increases from 0.70 to 0.75 m, the narrow face shell scouring range expands, and the vortex intensity increases, resulting in the rise of the risk of slagging; the SEN immersed in the depth of too deep is prone to the formation of a flow dead zone, which reduces the uniformity of heat transfer, and the SEN immersed in too shallow provokes level fluctuation. With the optimized process parameters (120 mm immersion depth and 0.75 m min−1 casting speed), the flow field has both controlled level fluctuation and reasonable surface velocity, effectively balancing the risk of slagging and solidification uniformity. [ABSTRACT FROM AUTHOR] |
| Copyright of Metallurgical Research & Technology is the property of EDP Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 193984828 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Simulation study on molten steel flow behavior in BB5 super-sized beam blank mold. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yang%2C+Xin%22">Yang, Xin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lv%2C+Ming%22">Lv, Ming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lvmingsteel@163.com</i><br /><searchLink fieldCode="AR" term="%22Gao%2C+Qi%22">Gao, Qi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Xiong-bo%22">Sun, Xiong-bo</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Wen-xue%22">Wang, Wen-xue</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Hao%22">Hu, Hao</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Metallurgical+Research+%26+Technology%22">Metallurgical Research & Technology</searchLink>. 2026, Vol. 123 Issue 3, p1-13. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Continuous+casting%22">Continuous casting</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+flow%22">Fluid flow</searchLink><br /><searchLink fieldCode="DE" term="%22Nozzles%22">Nozzles</searchLink><br /><searchLink fieldCode="DE" term="%22Models+%26+modelmaking%22">Models & modelmaking</searchLink><br /><searchLink fieldCode="DE" term="%22Flow+simulations%22">Flow simulations</searchLink><br /><searchLink fieldCode="DE" term="%22Steel+founding%22">Steel founding</searchLink><br /><searchLink fieldCode="DE" term="%22Molds+%28Casts+%26+casting%29%22">Molds (Casts & casting)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: To optimize the quality of super-sized beam blank continuous casting, a 1:1 physical model was constructed, and the impacts of casting speeds (0.65–0.85 m min−1) and depths of submerged entry nozzle (SEN) immersion (80–160 mm) on the flow field characteristics of the mold were investigated by physical simulation. The flow field distribution and surface velocity were analyzed by the PIV technique, and multi-position verification was carried out by combining a wave height meter and a flow velocity meter. The results show that when the casting speed increases from 0.65 to 0.85 m min−1, it will enhance the injection flow energy, the impact depth increases from 0.70 to 0.75 m, the narrow face shell scouring range expands, and the vortex intensity increases, resulting in the rise of the risk of slagging; the SEN immersed in the depth of too deep is prone to the formation of a flow dead zone, which reduces the uniformity of heat transfer, and the SEN immersed in too shallow provokes level fluctuation. With the optimized process parameters (120 mm immersion depth and 0.75 m min−1 casting speed), the flow field has both controlled level fluctuation and reasonable surface velocity, effectively balancing the risk of slagging and solidification uniformity. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Metallurgical Research & Technology is the property of EDP Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1051/metal/2026032 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Subjects: – SubjectFull: Continuous casting Type: general – SubjectFull: Fluid flow Type: general – SubjectFull: Nozzles Type: general – SubjectFull: Models & modelmaking Type: general – SubjectFull: Flow simulations Type: general – SubjectFull: Steel founding Type: general – SubjectFull: Molds (Casts & casting) Type: general Titles: – TitleFull: Simulation study on molten steel flow behavior in BB5 super-sized beam blank mold. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang, Xin – PersonEntity: Name: NameFull: Lv, Ming – PersonEntity: Name: NameFull: Gao, Qi – PersonEntity: Name: NameFull: Sun, Xiong-bo – PersonEntity: Name: NameFull: Wang, Wen-xue – PersonEntity: Name: NameFull: Hu, Hao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22713646 Numbering: – Type: volume Value: 123 – Type: issue Value: 3 Titles: – TitleFull: Metallurgical Research & Technology Type: main |
| ResultId | 1 |