A coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process
Abstract Electro-slag refining process is widely employed in steel industry for the production of special alloys used in ocean, aeronautics, and nuclear industries. Because of the adverse effect on the ductility of metal, it is critical to remove oxygen in the process. This study established a trans...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wang, Qiang [verfasserIn] Li, Guangqiang [verfasserIn] Gao, Yunming [verfasserIn] He, Zhu [verfasserIn] Li, Baokuan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of applied electrochemistry - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1971, 47(2017), 4 vom: 17. Feb., Seite 445-456 |
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| Übergeordnetes Werk: |
volume:47 ; year:2017 ; number:4 ; day:17 ; month:02 ; pages:445-456 |
| Links: |
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| DOI / URN: |
10.1007/s10800-017-1048-3 |
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| Katalog-ID: |
SPR013316176 |
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| 520 | |a Abstract Electro-slag refining process is widely employed in steel industry for the production of special alloys used in ocean, aeronautics, and nuclear industries. Because of the adverse effect on the ductility of metal, it is critical to remove oxygen in the process. This study established a transient three-dimensional (3D) coupled mathematical model for understanding oxygen transport behavior in the electro-slag refining process. The finite volume method was invoked to simultaneously solve mass, momentum, energy, and species conservation equations. Using the magnetic potential vector, Maxwell’s equations were solved, during which the obtained Joule heating and Lorentz force were coupled with the energy and momentum equations, respectively. The movement of metal–slag interface was described through the application of the volume of fluid (VOF) technique. Additionally, an auxiliary metallurgical kinetic module was introduced to determine the electrochemical reaction rate. An experiment was then conducted to validate the model, where the predicted oxygen contents agreed with the measured data within an acceptable accuracy range. Oxygen redistribution in both fluids is clarified: its transport rate at the metal droplet–slag interface is approximately one order of magnitude larger than that at the metal pool–slag interface. Further, the oxygen content in the metal pool is shown to increase with time, while the content in the slag layer is decreased. In order to effectively remove the oxygen in the metal, one more positive electrode, which is more likely to react with the oxygen, is proposed to be added in the unit. Graphical abstract Distributions of the electric streamlines and the phase distribution at 151.25 s with a current of 1800 A | ||
| 650 | 4 | |a Electro-slag refining process |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Oxygen transfer |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Numerical simulation |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Li, Guangqiang |e verfasserin |4 aut | |
| 700 | 1 | |a Gao, Yunming |e verfasserin |4 aut | |
| 700 | 1 | |a He, Zhu |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Baokuan |e verfasserin |4 aut | |
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10.1007/s10800-017-1048-3 doi (DE-627)SPR013316176 (SPR)s10800-017-1048-3-e DE-627 ger DE-627 rakwb eng 540 ASE 35.14 bkl Wang, Qiang verfasserin aut A coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Electro-slag refining process is widely employed in steel industry for the production of special alloys used in ocean, aeronautics, and nuclear industries. Because of the adverse effect on the ductility of metal, it is critical to remove oxygen in the process. This study established a transient three-dimensional (3D) coupled mathematical model for understanding oxygen transport behavior in the electro-slag refining process. The finite volume method was invoked to simultaneously solve mass, momentum, energy, and species conservation equations. Using the magnetic potential vector, Maxwell’s equations were solved, during which the obtained Joule heating and Lorentz force were coupled with the energy and momentum equations, respectively. The movement of metal–slag interface was described through the application of the volume of fluid (VOF) technique. Additionally, an auxiliary metallurgical kinetic module was introduced to determine the electrochemical reaction rate. An experiment was then conducted to validate the model, where the predicted oxygen contents agreed with the measured data within an acceptable accuracy range. Oxygen redistribution in both fluids is clarified: its transport rate at the metal droplet–slag interface is approximately one order of magnitude larger than that at the metal pool–slag interface. Further, the oxygen content in the metal pool is shown to increase with time, while the content in the slag layer is decreased. In order to effectively remove the oxygen in the metal, one more positive electrode, which is more likely to react with the oxygen, is proposed to be added in the unit. Graphical abstract Distributions of the electric streamlines and the phase distribution at 151.25 s with a current of 1800 A Electro-slag refining process (dpeaa)DE-He213 Oxygen transfer (dpeaa)DE-He213 Electrochemical reaction (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Li, Guangqiang verfasserin aut Gao, Yunming verfasserin aut He, Zhu verfasserin aut Li, Baokuan verfasserin aut Enthalten in Journal of applied electrochemistry Dordrecht [u.a.] : Springer Science + Business Media B.V, 1971 47(2017), 4 vom: 17. Feb., Seite 445-456 (DE-627)302466037 (DE-600)1491094-9 1572-8838 nnns volume:47 year:2017 number:4 day:17 month:02 pages:445-456 https://dx.doi.org/10.1007/s10800-017-1048-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 35.14 ASE AR 47 2017 4 17 02 445-456 |
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10.1007/s10800-017-1048-3 doi (DE-627)SPR013316176 (SPR)s10800-017-1048-3-e DE-627 ger DE-627 rakwb eng 540 ASE 35.14 bkl Wang, Qiang verfasserin aut A coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Electro-slag refining process is widely employed in steel industry for the production of special alloys used in ocean, aeronautics, and nuclear industries. Because of the adverse effect on the ductility of metal, it is critical to remove oxygen in the process. This study established a transient three-dimensional (3D) coupled mathematical model for understanding oxygen transport behavior in the electro-slag refining process. The finite volume method was invoked to simultaneously solve mass, momentum, energy, and species conservation equations. Using the magnetic potential vector, Maxwell’s equations were solved, during which the obtained Joule heating and Lorentz force were coupled with the energy and momentum equations, respectively. The movement of metal–slag interface was described through the application of the volume of fluid (VOF) technique. Additionally, an auxiliary metallurgical kinetic module was introduced to determine the electrochemical reaction rate. An experiment was then conducted to validate the model, where the predicted oxygen contents agreed with the measured data within an acceptable accuracy range. Oxygen redistribution in both fluids is clarified: its transport rate at the metal droplet–slag interface is approximately one order of magnitude larger than that at the metal pool–slag interface. Further, the oxygen content in the metal pool is shown to increase with time, while the content in the slag layer is decreased. In order to effectively remove the oxygen in the metal, one more positive electrode, which is more likely to react with the oxygen, is proposed to be added in the unit. Graphical abstract Distributions of the electric streamlines and the phase distribution at 151.25 s with a current of 1800 A Electro-slag refining process (dpeaa)DE-He213 Oxygen transfer (dpeaa)DE-He213 Electrochemical reaction (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Li, Guangqiang verfasserin aut Gao, Yunming verfasserin aut He, Zhu verfasserin aut Li, Baokuan verfasserin aut Enthalten in Journal of applied electrochemistry Dordrecht [u.a.] : Springer Science + Business Media B.V, 1971 47(2017), 4 vom: 17. Feb., Seite 445-456 (DE-627)302466037 (DE-600)1491094-9 1572-8838 nnns volume:47 year:2017 number:4 day:17 month:02 pages:445-456 https://dx.doi.org/10.1007/s10800-017-1048-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 35.14 ASE AR 47 2017 4 17 02 445-456 |
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10.1007/s10800-017-1048-3 doi (DE-627)SPR013316176 (SPR)s10800-017-1048-3-e DE-627 ger DE-627 rakwb eng 540 ASE 35.14 bkl Wang, Qiang verfasserin aut A coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Electro-slag refining process is widely employed in steel industry for the production of special alloys used in ocean, aeronautics, and nuclear industries. Because of the adverse effect on the ductility of metal, it is critical to remove oxygen in the process. This study established a transient three-dimensional (3D) coupled mathematical model for understanding oxygen transport behavior in the electro-slag refining process. The finite volume method was invoked to simultaneously solve mass, momentum, energy, and species conservation equations. Using the magnetic potential vector, Maxwell’s equations were solved, during which the obtained Joule heating and Lorentz force were coupled with the energy and momentum equations, respectively. The movement of metal–slag interface was described through the application of the volume of fluid (VOF) technique. Additionally, an auxiliary metallurgical kinetic module was introduced to determine the electrochemical reaction rate. An experiment was then conducted to validate the model, where the predicted oxygen contents agreed with the measured data within an acceptable accuracy range. Oxygen redistribution in both fluids is clarified: its transport rate at the metal droplet–slag interface is approximately one order of magnitude larger than that at the metal pool–slag interface. Further, the oxygen content in the metal pool is shown to increase with time, while the content in the slag layer is decreased. In order to effectively remove the oxygen in the metal, one more positive electrode, which is more likely to react with the oxygen, is proposed to be added in the unit. Graphical abstract Distributions of the electric streamlines and the phase distribution at 151.25 s with a current of 1800 A Electro-slag refining process (dpeaa)DE-He213 Oxygen transfer (dpeaa)DE-He213 Electrochemical reaction (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Li, Guangqiang verfasserin aut Gao, Yunming verfasserin aut He, Zhu verfasserin aut Li, Baokuan verfasserin aut Enthalten in Journal of applied electrochemistry Dordrecht [u.a.] : Springer Science + Business Media B.V, 1971 47(2017), 4 vom: 17. Feb., Seite 445-456 (DE-627)302466037 (DE-600)1491094-9 1572-8838 nnns volume:47 year:2017 number:4 day:17 month:02 pages:445-456 https://dx.doi.org/10.1007/s10800-017-1048-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 35.14 ASE AR 47 2017 4 17 02 445-456 |
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10.1007/s10800-017-1048-3 doi (DE-627)SPR013316176 (SPR)s10800-017-1048-3-e DE-627 ger DE-627 rakwb eng 540 ASE 35.14 bkl Wang, Qiang verfasserin aut A coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Electro-slag refining process is widely employed in steel industry for the production of special alloys used in ocean, aeronautics, and nuclear industries. Because of the adverse effect on the ductility of metal, it is critical to remove oxygen in the process. This study established a transient three-dimensional (3D) coupled mathematical model for understanding oxygen transport behavior in the electro-slag refining process. The finite volume method was invoked to simultaneously solve mass, momentum, energy, and species conservation equations. Using the magnetic potential vector, Maxwell’s equations were solved, during which the obtained Joule heating and Lorentz force were coupled with the energy and momentum equations, respectively. The movement of metal–slag interface was described through the application of the volume of fluid (VOF) technique. Additionally, an auxiliary metallurgical kinetic module was introduced to determine the electrochemical reaction rate. An experiment was then conducted to validate the model, where the predicted oxygen contents agreed with the measured data within an acceptable accuracy range. Oxygen redistribution in both fluids is clarified: its transport rate at the metal droplet–slag interface is approximately one order of magnitude larger than that at the metal pool–slag interface. Further, the oxygen content in the metal pool is shown to increase with time, while the content in the slag layer is decreased. In order to effectively remove the oxygen in the metal, one more positive electrode, which is more likely to react with the oxygen, is proposed to be added in the unit. Graphical abstract Distributions of the electric streamlines and the phase distribution at 151.25 s with a current of 1800 A Electro-slag refining process (dpeaa)DE-He213 Oxygen transfer (dpeaa)DE-He213 Electrochemical reaction (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Li, Guangqiang verfasserin aut Gao, Yunming verfasserin aut He, Zhu verfasserin aut Li, Baokuan verfasserin aut Enthalten in Journal of applied electrochemistry Dordrecht [u.a.] : Springer Science + Business Media B.V, 1971 47(2017), 4 vom: 17. Feb., Seite 445-456 (DE-627)302466037 (DE-600)1491094-9 1572-8838 nnns volume:47 year:2017 number:4 day:17 month:02 pages:445-456 https://dx.doi.org/10.1007/s10800-017-1048-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 35.14 ASE AR 47 2017 4 17 02 445-456 |
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10.1007/s10800-017-1048-3 doi (DE-627)SPR013316176 (SPR)s10800-017-1048-3-e DE-627 ger DE-627 rakwb eng 540 ASE 35.14 bkl Wang, Qiang verfasserin aut A coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Electro-slag refining process is widely employed in steel industry for the production of special alloys used in ocean, aeronautics, and nuclear industries. Because of the adverse effect on the ductility of metal, it is critical to remove oxygen in the process. This study established a transient three-dimensional (3D) coupled mathematical model for understanding oxygen transport behavior in the electro-slag refining process. The finite volume method was invoked to simultaneously solve mass, momentum, energy, and species conservation equations. Using the magnetic potential vector, Maxwell’s equations were solved, during which the obtained Joule heating and Lorentz force were coupled with the energy and momentum equations, respectively. The movement of metal–slag interface was described through the application of the volume of fluid (VOF) technique. Additionally, an auxiliary metallurgical kinetic module was introduced to determine the electrochemical reaction rate. An experiment was then conducted to validate the model, where the predicted oxygen contents agreed with the measured data within an acceptable accuracy range. Oxygen redistribution in both fluids is clarified: its transport rate at the metal droplet–slag interface is approximately one order of magnitude larger than that at the metal pool–slag interface. Further, the oxygen content in the metal pool is shown to increase with time, while the content in the slag layer is decreased. In order to effectively remove the oxygen in the metal, one more positive electrode, which is more likely to react with the oxygen, is proposed to be added in the unit. Graphical abstract Distributions of the electric streamlines and the phase distribution at 151.25 s with a current of 1800 A Electro-slag refining process (dpeaa)DE-He213 Oxygen transfer (dpeaa)DE-He213 Electrochemical reaction (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Li, Guangqiang verfasserin aut Gao, Yunming verfasserin aut He, Zhu verfasserin aut Li, Baokuan verfasserin aut Enthalten in Journal of applied electrochemistry Dordrecht [u.a.] : Springer Science + Business Media B.V, 1971 47(2017), 4 vom: 17. Feb., Seite 445-456 (DE-627)302466037 (DE-600)1491094-9 1572-8838 nnns volume:47 year:2017 number:4 day:17 month:02 pages:445-456 https://dx.doi.org/10.1007/s10800-017-1048-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 35.14 ASE AR 47 2017 4 17 02 445-456 |
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Wang, Qiang @@aut@@ Li, Guangqiang @@aut@@ Gao, Yunming @@aut@@ He, Zhu @@aut@@ Li, Baokuan @@aut@@ |
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Because of the adverse effect on the ductility of metal, it is critical to remove oxygen in the process. This study established a transient three-dimensional (3D) coupled mathematical model for understanding oxygen transport behavior in the electro-slag refining process. The finite volume method was invoked to simultaneously solve mass, momentum, energy, and species conservation equations. Using the magnetic potential vector, Maxwell’s equations were solved, during which the obtained Joule heating and Lorentz force were coupled with the energy and momentum equations, respectively. The movement of metal–slag interface was described through the application of the volume of fluid (VOF) technique. Additionally, an auxiliary metallurgical kinetic module was introduced to determine the electrochemical reaction rate. An experiment was then conducted to validate the model, where the predicted oxygen contents agreed with the measured data within an acceptable accuracy range. Oxygen redistribution in both fluids is clarified: its transport rate at the metal droplet–slag interface is approximately one order of magnitude larger than that at the metal pool–slag interface. Further, the oxygen content in the metal pool is shown to increase with time, while the content in the slag layer is decreased. In order to effectively remove the oxygen in the metal, one more positive electrode, which is more likely to react with the oxygen, is proposed to be added in the unit. 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|
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Wang, Qiang |
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Wang, Qiang ddc 540 bkl 35.14 misc Electro-slag refining process misc Oxygen transfer misc Electrochemical reaction misc Numerical simulation A coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process |
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540 ASE 35.14 bkl A coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process Electro-slag refining process (dpeaa)DE-He213 Oxygen transfer (dpeaa)DE-He213 Electrochemical reaction (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 |
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ddc 540 bkl 35.14 misc Electro-slag refining process misc Oxygen transfer misc Electrochemical reaction misc Numerical simulation |
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ddc 540 bkl 35.14 misc Electro-slag refining process misc Oxygen transfer misc Electrochemical reaction misc Numerical simulation |
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ddc 540 bkl 35.14 misc Electro-slag refining process misc Oxygen transfer misc Electrochemical reaction misc Numerical simulation |
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A coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process |
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A coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process |
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Wang, Qiang |
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Journal of applied electrochemistry |
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Wang, Qiang Li, Guangqiang Gao, Yunming He, Zhu Li, Baokuan |
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verfasserin |
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coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process |
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A coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process |
| abstract |
Abstract Electro-slag refining process is widely employed in steel industry for the production of special alloys used in ocean, aeronautics, and nuclear industries. Because of the adverse effect on the ductility of metal, it is critical to remove oxygen in the process. This study established a transient three-dimensional (3D) coupled mathematical model for understanding oxygen transport behavior in the electro-slag refining process. The finite volume method was invoked to simultaneously solve mass, momentum, energy, and species conservation equations. Using the magnetic potential vector, Maxwell’s equations were solved, during which the obtained Joule heating and Lorentz force were coupled with the energy and momentum equations, respectively. The movement of metal–slag interface was described through the application of the volume of fluid (VOF) technique. Additionally, an auxiliary metallurgical kinetic module was introduced to determine the electrochemical reaction rate. An experiment was then conducted to validate the model, where the predicted oxygen contents agreed with the measured data within an acceptable accuracy range. Oxygen redistribution in both fluids is clarified: its transport rate at the metal droplet–slag interface is approximately one order of magnitude larger than that at the metal pool–slag interface. Further, the oxygen content in the metal pool is shown to increase with time, while the content in the slag layer is decreased. In order to effectively remove the oxygen in the metal, one more positive electrode, which is more likely to react with the oxygen, is proposed to be added in the unit. Graphical abstract Distributions of the electric streamlines and the phase distribution at 151.25 s with a current of 1800 A |
| abstractGer |
Abstract Electro-slag refining process is widely employed in steel industry for the production of special alloys used in ocean, aeronautics, and nuclear industries. Because of the adverse effect on the ductility of metal, it is critical to remove oxygen in the process. This study established a transient three-dimensional (3D) coupled mathematical model for understanding oxygen transport behavior in the electro-slag refining process. The finite volume method was invoked to simultaneously solve mass, momentum, energy, and species conservation equations. Using the magnetic potential vector, Maxwell’s equations were solved, during which the obtained Joule heating and Lorentz force were coupled with the energy and momentum equations, respectively. The movement of metal–slag interface was described through the application of the volume of fluid (VOF) technique. Additionally, an auxiliary metallurgical kinetic module was introduced to determine the electrochemical reaction rate. An experiment was then conducted to validate the model, where the predicted oxygen contents agreed with the measured data within an acceptable accuracy range. Oxygen redistribution in both fluids is clarified: its transport rate at the metal droplet–slag interface is approximately one order of magnitude larger than that at the metal pool–slag interface. Further, the oxygen content in the metal pool is shown to increase with time, while the content in the slag layer is decreased. In order to effectively remove the oxygen in the metal, one more positive electrode, which is more likely to react with the oxygen, is proposed to be added in the unit. Graphical abstract Distributions of the electric streamlines and the phase distribution at 151.25 s with a current of 1800 A |
| abstract_unstemmed |
Abstract Electro-slag refining process is widely employed in steel industry for the production of special alloys used in ocean, aeronautics, and nuclear industries. Because of the adverse effect on the ductility of metal, it is critical to remove oxygen in the process. This study established a transient three-dimensional (3D) coupled mathematical model for understanding oxygen transport behavior in the electro-slag refining process. The finite volume method was invoked to simultaneously solve mass, momentum, energy, and species conservation equations. Using the magnetic potential vector, Maxwell’s equations were solved, during which the obtained Joule heating and Lorentz force were coupled with the energy and momentum equations, respectively. The movement of metal–slag interface was described through the application of the volume of fluid (VOF) technique. Additionally, an auxiliary metallurgical kinetic module was introduced to determine the electrochemical reaction rate. An experiment was then conducted to validate the model, where the predicted oxygen contents agreed with the measured data within an acceptable accuracy range. Oxygen redistribution in both fluids is clarified: its transport rate at the metal droplet–slag interface is approximately one order of magnitude larger than that at the metal pool–slag interface. Further, the oxygen content in the metal pool is shown to increase with time, while the content in the slag layer is decreased. In order to effectively remove the oxygen in the metal, one more positive electrode, which is more likely to react with the oxygen, is proposed to be added in the unit. Graphical abstract Distributions of the electric streamlines and the phase distribution at 151.25 s with a current of 1800 A |
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| title_short |
A coupled mathematical model and experimental validation of oxygen transport behavior in the electro-slag refining process |
| url |
https://dx.doi.org/10.1007/s10800-017-1048-3 |
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| author2 |
Li, Guangqiang Gao, Yunming He, Zhu Li, Baokuan |
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Li, Guangqiang Gao, Yunming He, Zhu Li, Baokuan |
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| doi_str |
10.1007/s10800-017-1048-3 |
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2024-07-03T18:52:27.003Z |
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| score |
7.3975964 |