Numerical Simulation of Turbulence Intensity of an Acid Solution during the Strip Steel Pickling Process
This study aims to enhance the efficiency of pickling processes by investigating the impact of strip speed and acid flow rate on the turbulence of the acid solution within the pickling tank. The research quantitatively evaluates the flow field state and distribution of acid temperature within the pi...
Ausführliche Beschreibung
Autor*in: |
Xiying Cui [verfasserIn] Jianhui Wang [verfasserIn] Jiawei Sun [verfasserIn] Sahal Ahmed Elmi [verfasserIn] Xuetong Li [verfasserIn] Zhenhua Bai [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Übergeordnetes Werk: |
In: Metals - MDPI AG, 2012, 13(2023), 7, p 1293 |
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Übergeordnetes Werk: |
volume:13 ; year:2023 ; number:7, p 1293 |
Links: |
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DOI / URN: |
10.3390/met13071293 |
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Katalog-ID: |
DOAJ093859171 |
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10.3390/met13071293 doi (DE-627)DOAJ093859171 (DE-599)DOAJ68dc98fa268a46ba8a881a09094b4073 DE-627 ger DE-627 rakwb eng TN1-997 Xiying Cui verfasserin aut Numerical Simulation of Turbulence Intensity of an Acid Solution during the Strip Steel Pickling Process 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study aims to enhance the efficiency of pickling processes by investigating the impact of strip speed and acid flow rate on the turbulence of the acid solution within the pickling tank. The research quantitatively evaluates the flow field state and distribution of acid temperature within the pickling tank. Through finite element simulation, factors such as jet velocity, strip motion velocity, and acid temperature are considered to determine the turbulence intensity, turbulent kinetic energy, convective heat transfer coefficient, and average temperature of the near-wall layer of the strip surface under the oblique jet. This analysis considers the effects of these parameters on the flow field within the pickling tank. Furthermore, simulations are conducted to assess the turbulence intensity of the acid solution under various conditions. The study reveals that the intake flow rate has a substantial influence on turbulence and temperature rise at the strip exit and inlet, albeit less so, within the acid tank itself. However, an increase in strip speed notably impacts the turbulence within the center of the acid tank. These findings are invaluable for regulating the pickling process and maintaining optimal strip surface quality in industrial production settings. cold rolling strip steel pickling turbulent flow numerical simulation Mining engineering. Metallurgy Jianhui Wang verfasserin aut Jiawei Sun verfasserin aut Sahal Ahmed Elmi verfasserin aut Xuetong Li verfasserin aut Zhenhua Bai verfasserin aut In Metals MDPI AG, 2012 13(2023), 7, p 1293 (DE-627)718627172 (DE-600)2662252-X 20754701 nnns volume:13 year:2023 number:7, p 1293 https://doi.org/10.3390/met13071293 kostenfrei https://doaj.org/article/68dc98fa268a46ba8a881a09094b4073 kostenfrei https://www.mdpi.com/2075-4701/13/7/1293 kostenfrei https://doaj.org/toc/2075-4701 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 7, p 1293 |
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10.3390/met13071293 doi (DE-627)DOAJ093859171 (DE-599)DOAJ68dc98fa268a46ba8a881a09094b4073 DE-627 ger DE-627 rakwb eng TN1-997 Xiying Cui verfasserin aut Numerical Simulation of Turbulence Intensity of an Acid Solution during the Strip Steel Pickling Process 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study aims to enhance the efficiency of pickling processes by investigating the impact of strip speed and acid flow rate on the turbulence of the acid solution within the pickling tank. The research quantitatively evaluates the flow field state and distribution of acid temperature within the pickling tank. Through finite element simulation, factors such as jet velocity, strip motion velocity, and acid temperature are considered to determine the turbulence intensity, turbulent kinetic energy, convective heat transfer coefficient, and average temperature of the near-wall layer of the strip surface under the oblique jet. This analysis considers the effects of these parameters on the flow field within the pickling tank. Furthermore, simulations are conducted to assess the turbulence intensity of the acid solution under various conditions. The study reveals that the intake flow rate has a substantial influence on turbulence and temperature rise at the strip exit and inlet, albeit less so, within the acid tank itself. However, an increase in strip speed notably impacts the turbulence within the center of the acid tank. These findings are invaluable for regulating the pickling process and maintaining optimal strip surface quality in industrial production settings. cold rolling strip steel pickling turbulent flow numerical simulation Mining engineering. Metallurgy Jianhui Wang verfasserin aut Jiawei Sun verfasserin aut Sahal Ahmed Elmi verfasserin aut Xuetong Li verfasserin aut Zhenhua Bai verfasserin aut In Metals MDPI AG, 2012 13(2023), 7, p 1293 (DE-627)718627172 (DE-600)2662252-X 20754701 nnns volume:13 year:2023 number:7, p 1293 https://doi.org/10.3390/met13071293 kostenfrei https://doaj.org/article/68dc98fa268a46ba8a881a09094b4073 kostenfrei https://www.mdpi.com/2075-4701/13/7/1293 kostenfrei https://doaj.org/toc/2075-4701 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 7, p 1293 |
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10.3390/met13071293 doi (DE-627)DOAJ093859171 (DE-599)DOAJ68dc98fa268a46ba8a881a09094b4073 DE-627 ger DE-627 rakwb eng TN1-997 Xiying Cui verfasserin aut Numerical Simulation of Turbulence Intensity of an Acid Solution during the Strip Steel Pickling Process 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study aims to enhance the efficiency of pickling processes by investigating the impact of strip speed and acid flow rate on the turbulence of the acid solution within the pickling tank. The research quantitatively evaluates the flow field state and distribution of acid temperature within the pickling tank. Through finite element simulation, factors such as jet velocity, strip motion velocity, and acid temperature are considered to determine the turbulence intensity, turbulent kinetic energy, convective heat transfer coefficient, and average temperature of the near-wall layer of the strip surface under the oblique jet. This analysis considers the effects of these parameters on the flow field within the pickling tank. Furthermore, simulations are conducted to assess the turbulence intensity of the acid solution under various conditions. The study reveals that the intake flow rate has a substantial influence on turbulence and temperature rise at the strip exit and inlet, albeit less so, within the acid tank itself. However, an increase in strip speed notably impacts the turbulence within the center of the acid tank. These findings are invaluable for regulating the pickling process and maintaining optimal strip surface quality in industrial production settings. cold rolling strip steel pickling turbulent flow numerical simulation Mining engineering. Metallurgy Jianhui Wang verfasserin aut Jiawei Sun verfasserin aut Sahal Ahmed Elmi verfasserin aut Xuetong Li verfasserin aut Zhenhua Bai verfasserin aut In Metals MDPI AG, 2012 13(2023), 7, p 1293 (DE-627)718627172 (DE-600)2662252-X 20754701 nnns volume:13 year:2023 number:7, p 1293 https://doi.org/10.3390/met13071293 kostenfrei https://doaj.org/article/68dc98fa268a46ba8a881a09094b4073 kostenfrei https://www.mdpi.com/2075-4701/13/7/1293 kostenfrei https://doaj.org/toc/2075-4701 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 7, p 1293 |
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10.3390/met13071293 doi (DE-627)DOAJ093859171 (DE-599)DOAJ68dc98fa268a46ba8a881a09094b4073 DE-627 ger DE-627 rakwb eng TN1-997 Xiying Cui verfasserin aut Numerical Simulation of Turbulence Intensity of an Acid Solution during the Strip Steel Pickling Process 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study aims to enhance the efficiency of pickling processes by investigating the impact of strip speed and acid flow rate on the turbulence of the acid solution within the pickling tank. The research quantitatively evaluates the flow field state and distribution of acid temperature within the pickling tank. Through finite element simulation, factors such as jet velocity, strip motion velocity, and acid temperature are considered to determine the turbulence intensity, turbulent kinetic energy, convective heat transfer coefficient, and average temperature of the near-wall layer of the strip surface under the oblique jet. This analysis considers the effects of these parameters on the flow field within the pickling tank. Furthermore, simulations are conducted to assess the turbulence intensity of the acid solution under various conditions. The study reveals that the intake flow rate has a substantial influence on turbulence and temperature rise at the strip exit and inlet, albeit less so, within the acid tank itself. However, an increase in strip speed notably impacts the turbulence within the center of the acid tank. These findings are invaluable for regulating the pickling process and maintaining optimal strip surface quality in industrial production settings. cold rolling strip steel pickling turbulent flow numerical simulation Mining engineering. Metallurgy Jianhui Wang verfasserin aut Jiawei Sun verfasserin aut Sahal Ahmed Elmi verfasserin aut Xuetong Li verfasserin aut Zhenhua Bai verfasserin aut In Metals MDPI AG, 2012 13(2023), 7, p 1293 (DE-627)718627172 (DE-600)2662252-X 20754701 nnns volume:13 year:2023 number:7, p 1293 https://doi.org/10.3390/met13071293 kostenfrei https://doaj.org/article/68dc98fa268a46ba8a881a09094b4073 kostenfrei https://www.mdpi.com/2075-4701/13/7/1293 kostenfrei https://doaj.org/toc/2075-4701 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 7, p 1293 |
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10.3390/met13071293 doi (DE-627)DOAJ093859171 (DE-599)DOAJ68dc98fa268a46ba8a881a09094b4073 DE-627 ger DE-627 rakwb eng TN1-997 Xiying Cui verfasserin aut Numerical Simulation of Turbulence Intensity of an Acid Solution during the Strip Steel Pickling Process 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study aims to enhance the efficiency of pickling processes by investigating the impact of strip speed and acid flow rate on the turbulence of the acid solution within the pickling tank. The research quantitatively evaluates the flow field state and distribution of acid temperature within the pickling tank. Through finite element simulation, factors such as jet velocity, strip motion velocity, and acid temperature are considered to determine the turbulence intensity, turbulent kinetic energy, convective heat transfer coefficient, and average temperature of the near-wall layer of the strip surface under the oblique jet. This analysis considers the effects of these parameters on the flow field within the pickling tank. Furthermore, simulations are conducted to assess the turbulence intensity of the acid solution under various conditions. The study reveals that the intake flow rate has a substantial influence on turbulence and temperature rise at the strip exit and inlet, albeit less so, within the acid tank itself. However, an increase in strip speed notably impacts the turbulence within the center of the acid tank. These findings are invaluable for regulating the pickling process and maintaining optimal strip surface quality in industrial production settings. cold rolling strip steel pickling turbulent flow numerical simulation Mining engineering. Metallurgy Jianhui Wang verfasserin aut Jiawei Sun verfasserin aut Sahal Ahmed Elmi verfasserin aut Xuetong Li verfasserin aut Zhenhua Bai verfasserin aut In Metals MDPI AG, 2012 13(2023), 7, p 1293 (DE-627)718627172 (DE-600)2662252-X 20754701 nnns volume:13 year:2023 number:7, p 1293 https://doi.org/10.3390/met13071293 kostenfrei https://doaj.org/article/68dc98fa268a46ba8a881a09094b4073 kostenfrei https://www.mdpi.com/2075-4701/13/7/1293 kostenfrei https://doaj.org/toc/2075-4701 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 7, p 1293 |
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The research quantitatively evaluates the flow field state and distribution of acid temperature within the pickling tank. Through finite element simulation, factors such as jet velocity, strip motion velocity, and acid temperature are considered to determine the turbulence intensity, turbulent kinetic energy, convective heat transfer coefficient, and average temperature of the near-wall layer of the strip surface under the oblique jet. This analysis considers the effects of these parameters on the flow field within the pickling tank. Furthermore, simulations are conducted to assess the turbulence intensity of the acid solution under various conditions. The study reveals that the intake flow rate has a substantial influence on turbulence and temperature rise at the strip exit and inlet, albeit less so, within the acid tank itself. However, an increase in strip speed notably impacts the turbulence within the center of the acid tank. 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Numerical Simulation of Turbulence Intensity of an Acid Solution during the Strip Steel Pickling Process |
abstract |
This study aims to enhance the efficiency of pickling processes by investigating the impact of strip speed and acid flow rate on the turbulence of the acid solution within the pickling tank. The research quantitatively evaluates the flow field state and distribution of acid temperature within the pickling tank. Through finite element simulation, factors such as jet velocity, strip motion velocity, and acid temperature are considered to determine the turbulence intensity, turbulent kinetic energy, convective heat transfer coefficient, and average temperature of the near-wall layer of the strip surface under the oblique jet. This analysis considers the effects of these parameters on the flow field within the pickling tank. Furthermore, simulations are conducted to assess the turbulence intensity of the acid solution under various conditions. The study reveals that the intake flow rate has a substantial influence on turbulence and temperature rise at the strip exit and inlet, albeit less so, within the acid tank itself. However, an increase in strip speed notably impacts the turbulence within the center of the acid tank. These findings are invaluable for regulating the pickling process and maintaining optimal strip surface quality in industrial production settings. |
abstractGer |
This study aims to enhance the efficiency of pickling processes by investigating the impact of strip speed and acid flow rate on the turbulence of the acid solution within the pickling tank. The research quantitatively evaluates the flow field state and distribution of acid temperature within the pickling tank. Through finite element simulation, factors such as jet velocity, strip motion velocity, and acid temperature are considered to determine the turbulence intensity, turbulent kinetic energy, convective heat transfer coefficient, and average temperature of the near-wall layer of the strip surface under the oblique jet. This analysis considers the effects of these parameters on the flow field within the pickling tank. Furthermore, simulations are conducted to assess the turbulence intensity of the acid solution under various conditions. The study reveals that the intake flow rate has a substantial influence on turbulence and temperature rise at the strip exit and inlet, albeit less so, within the acid tank itself. However, an increase in strip speed notably impacts the turbulence within the center of the acid tank. These findings are invaluable for regulating the pickling process and maintaining optimal strip surface quality in industrial production settings. |
abstract_unstemmed |
This study aims to enhance the efficiency of pickling processes by investigating the impact of strip speed and acid flow rate on the turbulence of the acid solution within the pickling tank. The research quantitatively evaluates the flow field state and distribution of acid temperature within the pickling tank. Through finite element simulation, factors such as jet velocity, strip motion velocity, and acid temperature are considered to determine the turbulence intensity, turbulent kinetic energy, convective heat transfer coefficient, and average temperature of the near-wall layer of the strip surface under the oblique jet. This analysis considers the effects of these parameters on the flow field within the pickling tank. Furthermore, simulations are conducted to assess the turbulence intensity of the acid solution under various conditions. The study reveals that the intake flow rate has a substantial influence on turbulence and temperature rise at the strip exit and inlet, albeit less so, within the acid tank itself. However, an increase in strip speed notably impacts the turbulence within the center of the acid tank. These findings are invaluable for regulating the pickling process and maintaining optimal strip surface quality in industrial production settings. |
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Numerical Simulation of Turbulence Intensity of an Acid Solution during the Strip Steel Pickling Process |
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7.399584 |