Numerical Investigation on Grain Structure of Magnetic-Controlled Electroslag Remelted Ingot Based on CAFE and Equivalent Treatment Method
A transient two-dimensional axisymmetric model is developed to investigate the influence of the applied transverse static magnetic field (TSMF) on the grain morphology of the electroslag remelted (ESR) ingot. The cellular automata-finite element (CAFE) technique is employed to elucidate the nucleati...
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Published in | Metallurgical and materials transactions. B, Process metallurgy and materials processing science Vol. 55; no. 2; pp. 1027 - 1038 |
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01.04.2024
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Abstract | A transient two-dimensional axisymmetric model is developed to investigate the influence of the applied transverse static magnetic field (TSMF) on the grain morphology of the electroslag remelted (ESR) ingot. The cellular automata-finite element (CAFE) technique is employed to elucidate the nucleation and growth of the grains. Moreover, an equivalent treatment method by adjusting the effective thermal conductivity is introduced to model the effect of the electromagnetic vibration (EMV) generated by the applied 0.05T TSMF on the temperature distribution. The close correspondence between the experimental data and the simulation outcomes demonstrates the validity and reliability of the computational model. The results show that with the effective thermal conductivity increasing from
η
to
3
η
, the proportion of equiaxed grain increases from 25.1 to 48.7 pct and the grains get refined. Furthermore, the increase in effective thermal conductivity correlates with a decrease in both the local solidification time (LST) and the second dendrite arm spacing (SDAS) at the central region, suggesting a finer microstructure of the ingot. In addition, as the effective thermal conductivity increases, a substantial decrease in the maximum depth of the metal pool is observed, reducing from 53.9 to 19.4 mm, which should be conductive to microstructure refinement and macrosegregation alleviation. |
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AbstractList | A transient two-dimensional axisymmetric model is developed to investigate the influence of the applied transverse static magnetic field (TSMF) on the grain morphology of the electroslag remelted (ESR) ingot. The cellular automata-finite element (CAFE) technique is employed to elucidate the nucleation and growth of the grains. Moreover, an equivalent treatment method by adjusting the effective thermal conductivity is introduced to model the effect of the electromagnetic vibration (EMV) generated by the applied 0.05T TSMF on the temperature distribution. The close correspondence between the experimental data and the simulation outcomes demonstrates the validity and reliability of the computational model. The results show that with the effective thermal conductivity increasing from
η
to
3
η
, the proportion of equiaxed grain increases from 25.1 to 48.7 pct and the grains get refined. Furthermore, the increase in effective thermal conductivity correlates with a decrease in both the local solidification time (LST) and the second dendrite arm spacing (SDAS) at the central region, suggesting a finer microstructure of the ingot. In addition, as the effective thermal conductivity increases, a substantial decrease in the maximum depth of the metal pool is observed, reducing from 53.9 to 19.4 mm, which should be conductive to microstructure refinement and macrosegregation alleviation. A transient two-dimensional axisymmetric model is developed to investigate the influence of the applied transverse static magnetic field (TSMF) on the grain morphology of the electroslag remelted (ESR) ingot. The cellular automata-finite element (CAFE) technique is employed to elucidate the nucleation and growth of the grains. Moreover, an equivalent treatment method by adjusting the effective thermal conductivity is introduced to model the effect of the electromagnetic vibration (EMV) generated by the applied 0.05T TSMF on the temperature distribution. The close correspondence between the experimental data and the simulation outcomes demonstrates the validity and reliability of the computational model. The results show that with the effective thermal conductivity increasing from η to 3η, the proportion of equiaxed grain increases from 25.1 to 48.7 pct and the grains get refined. Furthermore, the increase in effective thermal conductivity correlates with a decrease in both the local solidification time (LST) and the second dendrite arm spacing (SDAS) at the central region, suggesting a finer microstructure of the ingot. In addition, as the effective thermal conductivity increases, a substantial decrease in the maximum depth of the metal pool is observed, reducing from 53.9 to 19.4 mm, which should be conductive to microstructure refinement and macrosegregation alleviation. |
Author | Guo, Yifeng Li, Qiang Xia, Zhibin Sun, Zhonghao Zhang, Mingliang Shen, Zhe Liu, Chunmei Ding, Biao Zhong, Yunbo Zheng, Tianxiang |
Author_xml | – sequence: 1 givenname: Zhibin surname: Xia fullname: Xia, Zhibin organization: State Key Laboratory of Advanced Special Steel, Shanghai University, School of Materials Science and Engineering, Shanghai University – sequence: 2 givenname: Zhonghao surname: Sun fullname: Sun, Zhonghao organization: State Key Laboratory of Advanced Special Steel, Shanghai University, School of Materials Science and Engineering, Shanghai University – sequence: 3 givenname: Mingliang surname: Zhang fullname: Zhang, Mingliang organization: State Key Laboratory of Advanced Special Steel, Shanghai University, School of Materials Science and Engineering, Shanghai University – sequence: 4 givenname: Yifeng surname: Guo fullname: Guo, Yifeng organization: State Key Laboratory of Advanced Special Steel, Shanghai University, School of Materials Science and Engineering, Shanghai University – sequence: 5 givenname: Zhe surname: Shen fullname: Shen, Zhe organization: State Key Laboratory of Advanced Special Steel, Shanghai University, School of Materials Science and Engineering, Shanghai University – sequence: 6 givenname: Biao surname: Ding fullname: Ding, Biao organization: State Key Laboratory of Advanced Special Steel, Shanghai University, School of Materials Science and Engineering, Shanghai University – sequence: 7 givenname: Tianxiang surname: Zheng fullname: Zheng, Tianxiang organization: State Key Laboratory of Advanced Special Steel, Shanghai University, School of Materials Science and Engineering, Shanghai University – sequence: 8 givenname: Qiang surname: Li fullname: Li, Qiang email: hebilen@live.cn organization: State Key Laboratory of Advanced Special Steel, Shanghai University, School of Materials Science and Engineering, Shanghai University – sequence: 9 givenname: Chunmei surname: Liu fullname: Liu, Chunmei email: cmliu@shu.edu.cn organization: State Key Laboratory of Advanced Special Steel, Shanghai University, School of Materials Science and Engineering, Shanghai University – sequence: 10 givenname: Yunbo surname: Zhong fullname: Zhong, Yunbo email: yunboz@staff.shu.edu.cn organization: State Key Laboratory of Advanced Special Steel, Shanghai University, School of Materials Science and Engineering, Shanghai University |
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SubjectTerms | Cellular automata Characterization and Evaluation of Materials Chemistry and Materials Science Equivalence Grain structure Heat conductivity Heat transfer Ingots Materials Science Metallic Materials Microstructure Nanotechnology Nucleation Original Research Article Solidification Structural Materials Surfaces and Interfaces Temperature distribution Thermal conductivity Thin Films Two dimensional models |
Title | Numerical Investigation on Grain Structure of Magnetic-Controlled Electroslag Remelted Ingot Based on CAFE and Equivalent Treatment Method |
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