Computational Fluid Dynamics Approach for Frictional Heat Flow Analysis During Friction Stir Welding Process
Abstract When two bodies have relative motion while contacting each other, friction arises, and the heat generated is known to be friction heat generation. The macroscopic approach mostly does the calculations for frictional heat, but a microscopic level study was attempted and validated based on fr...
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| Autor*in: |
Dey, Abhijit [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© King Fahd University of Petroleum & Minerals 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: The Arabian journal for science and engineering - Berlin : Springer, 2011, 48(2022), 3 vom: 14. Sept., Seite 3749-3763 |
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| Übergeordnetes Werk: |
volume:48 ; year:2022 ; number:3 ; day:14 ; month:09 ; pages:3749-3763 |
| Links: |
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| DOI / URN: |
10.1007/s13369-022-07215-4 |
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| Katalog-ID: |
SPR049439014 |
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| 520 | |a Abstract When two bodies have relative motion while contacting each other, friction arises, and the heat generated is known to be friction heat generation. The macroscopic approach mostly does the calculations for frictional heat, but a microscopic level study was attempted and validated based on fractal theory for better understanding and better accuracy. This study has mainly focussed on the microscopic approach of frictional heat-generating in the Friction Stir Welding Process implementing a time-dependent state between the tool and Aluminium plate interface. The assessment was conducted from 1 to 13 s after every 3 s. On the tool and the plate, the effect is observed every 3 s. The temperature of the welding interface and the contours around the tool were observed by the closed packing and were considerably affected by the FSP process. Temperature variations on the tool and pin are closely monitored and marked by points, which tell how the welding operation occurs with a time change in this process. The maximum and minimum temperature were achieved at four-time steps, showing the temperature change and its maximum position with time. The flow of conductive heat flux around the tool is depicted using streamlines, which aids in plate and tool material selection for better outcomes. Temperature variations, heat flow, and conductive heat flux are monitored and explained in-depth on the tool and plate. The maximum temperature (around 922 K) was found to be obtained at t = 13 s during the welding process at the juncture of the shoulder and tip of the tool. Whereas the minimum temperature was obtained at t = 1 s, at the extreme age of the workpiece. The flow of conductive heat flux was observed to begin from the tip-workpiece interface towards the edges of the workpiece surfaces under various time intervals. The disturbance in lines is also validated by the maximum temperature obtained at t = 1 s is 518 K, t = 4 s is 752 K, t = 7 s is 882 K and at t = 10 s is 929 K. | ||
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10.1007/s13369-022-07215-4 doi (DE-627)SPR049439014 (SPR)s13369-022-07215-4-e DE-627 ger DE-627 rakwb eng Dey, Abhijit verfasserin aut Computational Fluid Dynamics Approach for Frictional Heat Flow Analysis During Friction Stir Welding Process 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract When two bodies have relative motion while contacting each other, friction arises, and the heat generated is known to be friction heat generation. The macroscopic approach mostly does the calculations for frictional heat, but a microscopic level study was attempted and validated based on fractal theory for better understanding and better accuracy. This study has mainly focussed on the microscopic approach of frictional heat-generating in the Friction Stir Welding Process implementing a time-dependent state between the tool and Aluminium plate interface. The assessment was conducted from 1 to 13 s after every 3 s. On the tool and the plate, the effect is observed every 3 s. The temperature of the welding interface and the contours around the tool were observed by the closed packing and were considerably affected by the FSP process. Temperature variations on the tool and pin are closely monitored and marked by points, which tell how the welding operation occurs with a time change in this process. The maximum and minimum temperature were achieved at four-time steps, showing the temperature change and its maximum position with time. The flow of conductive heat flux around the tool is depicted using streamlines, which aids in plate and tool material selection for better outcomes. Temperature variations, heat flow, and conductive heat flux are monitored and explained in-depth on the tool and plate. The maximum temperature (around 922 K) was found to be obtained at t = 13 s during the welding process at the juncture of the shoulder and tip of the tool. Whereas the minimum temperature was obtained at t = 1 s, at the extreme age of the workpiece. The flow of conductive heat flux was observed to begin from the tip-workpiece interface towards the edges of the workpiece surfaces under various time intervals. The disturbance in lines is also validated by the maximum temperature obtained at t = 1 s is 518 K, t = 4 s is 752 K, t = 7 s is 882 K and at t = 10 s is 929 K. Heat flow analysis (dpeaa)DE-He213 Fractal theory (dpeaa)DE-He213 Friction stir processing (dpeaa)DE-He213 Conductive heat flux (dpeaa)DE-He213 Welding (dpeaa)DE-He213 Rathee, Premdeep Singh aut Khan, Mohammad Mohsin (orcid)0000-0001-9465-5144 aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 48(2022), 3 vom: 14. Sept., Seite 3749-3763 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:48 year:2022 number:3 day:14 month:09 pages:3749-3763 https://dx.doi.org/10.1007/s13369-022-07215-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 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_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_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_2118 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_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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 48 2022 3 14 09 3749-3763 |
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10.1007/s13369-022-07215-4 doi (DE-627)SPR049439014 (SPR)s13369-022-07215-4-e DE-627 ger DE-627 rakwb eng Dey, Abhijit verfasserin aut Computational Fluid Dynamics Approach for Frictional Heat Flow Analysis During Friction Stir Welding Process 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract When two bodies have relative motion while contacting each other, friction arises, and the heat generated is known to be friction heat generation. The macroscopic approach mostly does the calculations for frictional heat, but a microscopic level study was attempted and validated based on fractal theory for better understanding and better accuracy. This study has mainly focussed on the microscopic approach of frictional heat-generating in the Friction Stir Welding Process implementing a time-dependent state between the tool and Aluminium plate interface. The assessment was conducted from 1 to 13 s after every 3 s. On the tool and the plate, the effect is observed every 3 s. The temperature of the welding interface and the contours around the tool were observed by the closed packing and were considerably affected by the FSP process. Temperature variations on the tool and pin are closely monitored and marked by points, which tell how the welding operation occurs with a time change in this process. The maximum and minimum temperature were achieved at four-time steps, showing the temperature change and its maximum position with time. The flow of conductive heat flux around the tool is depicted using streamlines, which aids in plate and tool material selection for better outcomes. Temperature variations, heat flow, and conductive heat flux are monitored and explained in-depth on the tool and plate. The maximum temperature (around 922 K) was found to be obtained at t = 13 s during the welding process at the juncture of the shoulder and tip of the tool. Whereas the minimum temperature was obtained at t = 1 s, at the extreme age of the workpiece. The flow of conductive heat flux was observed to begin from the tip-workpiece interface towards the edges of the workpiece surfaces under various time intervals. The disturbance in lines is also validated by the maximum temperature obtained at t = 1 s is 518 K, t = 4 s is 752 K, t = 7 s is 882 K and at t = 10 s is 929 K. Heat flow analysis (dpeaa)DE-He213 Fractal theory (dpeaa)DE-He213 Friction stir processing (dpeaa)DE-He213 Conductive heat flux (dpeaa)DE-He213 Welding (dpeaa)DE-He213 Rathee, Premdeep Singh aut Khan, Mohammad Mohsin (orcid)0000-0001-9465-5144 aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 48(2022), 3 vom: 14. Sept., Seite 3749-3763 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:48 year:2022 number:3 day:14 month:09 pages:3749-3763 https://dx.doi.org/10.1007/s13369-022-07215-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 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_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_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_2118 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_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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 48 2022 3 14 09 3749-3763 |
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10.1007/s13369-022-07215-4 doi (DE-627)SPR049439014 (SPR)s13369-022-07215-4-e DE-627 ger DE-627 rakwb eng Dey, Abhijit verfasserin aut Computational Fluid Dynamics Approach for Frictional Heat Flow Analysis During Friction Stir Welding Process 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract When two bodies have relative motion while contacting each other, friction arises, and the heat generated is known to be friction heat generation. The macroscopic approach mostly does the calculations for frictional heat, but a microscopic level study was attempted and validated based on fractal theory for better understanding and better accuracy. This study has mainly focussed on the microscopic approach of frictional heat-generating in the Friction Stir Welding Process implementing a time-dependent state between the tool and Aluminium plate interface. The assessment was conducted from 1 to 13 s after every 3 s. On the tool and the plate, the effect is observed every 3 s. The temperature of the welding interface and the contours around the tool were observed by the closed packing and were considerably affected by the FSP process. Temperature variations on the tool and pin are closely monitored and marked by points, which tell how the welding operation occurs with a time change in this process. The maximum and minimum temperature were achieved at four-time steps, showing the temperature change and its maximum position with time. The flow of conductive heat flux around the tool is depicted using streamlines, which aids in plate and tool material selection for better outcomes. Temperature variations, heat flow, and conductive heat flux are monitored and explained in-depth on the tool and plate. The maximum temperature (around 922 K) was found to be obtained at t = 13 s during the welding process at the juncture of the shoulder and tip of the tool. Whereas the minimum temperature was obtained at t = 1 s, at the extreme age of the workpiece. The flow of conductive heat flux was observed to begin from the tip-workpiece interface towards the edges of the workpiece surfaces under various time intervals. The disturbance in lines is also validated by the maximum temperature obtained at t = 1 s is 518 K, t = 4 s is 752 K, t = 7 s is 882 K and at t = 10 s is 929 K. Heat flow analysis (dpeaa)DE-He213 Fractal theory (dpeaa)DE-He213 Friction stir processing (dpeaa)DE-He213 Conductive heat flux (dpeaa)DE-He213 Welding (dpeaa)DE-He213 Rathee, Premdeep Singh aut Khan, Mohammad Mohsin (orcid)0000-0001-9465-5144 aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 48(2022), 3 vom: 14. Sept., Seite 3749-3763 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:48 year:2022 number:3 day:14 month:09 pages:3749-3763 https://dx.doi.org/10.1007/s13369-022-07215-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 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_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_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_2118 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_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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 48 2022 3 14 09 3749-3763 |
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10.1007/s13369-022-07215-4 doi (DE-627)SPR049439014 (SPR)s13369-022-07215-4-e DE-627 ger DE-627 rakwb eng Dey, Abhijit verfasserin aut Computational Fluid Dynamics Approach for Frictional Heat Flow Analysis During Friction Stir Welding Process 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract When two bodies have relative motion while contacting each other, friction arises, and the heat generated is known to be friction heat generation. The macroscopic approach mostly does the calculations for frictional heat, but a microscopic level study was attempted and validated based on fractal theory for better understanding and better accuracy. This study has mainly focussed on the microscopic approach of frictional heat-generating in the Friction Stir Welding Process implementing a time-dependent state between the tool and Aluminium plate interface. The assessment was conducted from 1 to 13 s after every 3 s. On the tool and the plate, the effect is observed every 3 s. The temperature of the welding interface and the contours around the tool were observed by the closed packing and were considerably affected by the FSP process. Temperature variations on the tool and pin are closely monitored and marked by points, which tell how the welding operation occurs with a time change in this process. The maximum and minimum temperature were achieved at four-time steps, showing the temperature change and its maximum position with time. The flow of conductive heat flux around the tool is depicted using streamlines, which aids in plate and tool material selection for better outcomes. Temperature variations, heat flow, and conductive heat flux are monitored and explained in-depth on the tool and plate. The maximum temperature (around 922 K) was found to be obtained at t = 13 s during the welding process at the juncture of the shoulder and tip of the tool. Whereas the minimum temperature was obtained at t = 1 s, at the extreme age of the workpiece. The flow of conductive heat flux was observed to begin from the tip-workpiece interface towards the edges of the workpiece surfaces under various time intervals. The disturbance in lines is also validated by the maximum temperature obtained at t = 1 s is 518 K, t = 4 s is 752 K, t = 7 s is 882 K and at t = 10 s is 929 K. Heat flow analysis (dpeaa)DE-He213 Fractal theory (dpeaa)DE-He213 Friction stir processing (dpeaa)DE-He213 Conductive heat flux (dpeaa)DE-He213 Welding (dpeaa)DE-He213 Rathee, Premdeep Singh aut Khan, Mohammad Mohsin (orcid)0000-0001-9465-5144 aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 48(2022), 3 vom: 14. Sept., Seite 3749-3763 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:48 year:2022 number:3 day:14 month:09 pages:3749-3763 https://dx.doi.org/10.1007/s13369-022-07215-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 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_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_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_2118 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_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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 48 2022 3 14 09 3749-3763 |
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10.1007/s13369-022-07215-4 doi (DE-627)SPR049439014 (SPR)s13369-022-07215-4-e DE-627 ger DE-627 rakwb eng Dey, Abhijit verfasserin aut Computational Fluid Dynamics Approach for Frictional Heat Flow Analysis During Friction Stir Welding Process 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract When two bodies have relative motion while contacting each other, friction arises, and the heat generated is known to be friction heat generation. The macroscopic approach mostly does the calculations for frictional heat, but a microscopic level study was attempted and validated based on fractal theory for better understanding and better accuracy. This study has mainly focussed on the microscopic approach of frictional heat-generating in the Friction Stir Welding Process implementing a time-dependent state between the tool and Aluminium plate interface. The assessment was conducted from 1 to 13 s after every 3 s. On the tool and the plate, the effect is observed every 3 s. The temperature of the welding interface and the contours around the tool were observed by the closed packing and were considerably affected by the FSP process. Temperature variations on the tool and pin are closely monitored and marked by points, which tell how the welding operation occurs with a time change in this process. The maximum and minimum temperature were achieved at four-time steps, showing the temperature change and its maximum position with time. The flow of conductive heat flux around the tool is depicted using streamlines, which aids in plate and tool material selection for better outcomes. Temperature variations, heat flow, and conductive heat flux are monitored and explained in-depth on the tool and plate. The maximum temperature (around 922 K) was found to be obtained at t = 13 s during the welding process at the juncture of the shoulder and tip of the tool. Whereas the minimum temperature was obtained at t = 1 s, at the extreme age of the workpiece. The flow of conductive heat flux was observed to begin from the tip-workpiece interface towards the edges of the workpiece surfaces under various time intervals. The disturbance in lines is also validated by the maximum temperature obtained at t = 1 s is 518 K, t = 4 s is 752 K, t = 7 s is 882 K and at t = 10 s is 929 K. Heat flow analysis (dpeaa)DE-He213 Fractal theory (dpeaa)DE-He213 Friction stir processing (dpeaa)DE-He213 Conductive heat flux (dpeaa)DE-He213 Welding (dpeaa)DE-He213 Rathee, Premdeep Singh aut Khan, Mohammad Mohsin (orcid)0000-0001-9465-5144 aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 48(2022), 3 vom: 14. Sept., Seite 3749-3763 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:48 year:2022 number:3 day:14 month:09 pages:3749-3763 https://dx.doi.org/10.1007/s13369-022-07215-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 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_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_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_2118 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_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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 48 2022 3 14 09 3749-3763 |
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Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract When two bodies have relative motion while contacting each other, friction arises, and the heat generated is known to be friction heat generation. The macroscopic approach mostly does the calculations for frictional heat, but a microscopic level study was attempted and validated based on fractal theory for better understanding and better accuracy. This study has mainly focussed on the microscopic approach of frictional heat-generating in the Friction Stir Welding Process implementing a time-dependent state between the tool and Aluminium plate interface. The assessment was conducted from 1 to 13 s after every 3 s. On the tool and the plate, the effect is observed every 3 s. The temperature of the welding interface and the contours around the tool were observed by the closed packing and were considerably affected by the FSP process. Temperature variations on the tool and pin are closely monitored and marked by points, which tell how the welding operation occurs with a time change in this process. The maximum and minimum temperature were achieved at four-time steps, showing the temperature change and its maximum position with time. The flow of conductive heat flux around the tool is depicted using streamlines, which aids in plate and tool material selection for better outcomes. Temperature variations, heat flow, and conductive heat flux are monitored and explained in-depth on the tool and plate. The maximum temperature (around 922 K) was found to be obtained at t = 13 s during the welding process at the juncture of the shoulder and tip of the tool. Whereas the minimum temperature was obtained at t = 1 s, at the extreme age of the workpiece. The flow of conductive heat flux was observed to begin from the tip-workpiece interface towards the edges of the workpiece surfaces under various time intervals. 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Dey, Abhijit |
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Dey, Abhijit misc Heat flow analysis misc Fractal theory misc Friction stir processing misc Conductive heat flux misc Welding Computational Fluid Dynamics Approach for Frictional Heat Flow Analysis During Friction Stir Welding Process |
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Computational Fluid Dynamics Approach for Frictional Heat Flow Analysis During Friction Stir Welding Process Heat flow analysis (dpeaa)DE-He213 Fractal theory (dpeaa)DE-He213 Friction stir processing (dpeaa)DE-He213 Conductive heat flux (dpeaa)DE-He213 Welding (dpeaa)DE-He213 |
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computational fluid dynamics approach for frictional heat flow analysis during friction stir welding process |
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Computational Fluid Dynamics Approach for Frictional Heat Flow Analysis During Friction Stir Welding Process |
| abstract |
Abstract When two bodies have relative motion while contacting each other, friction arises, and the heat generated is known to be friction heat generation. The macroscopic approach mostly does the calculations for frictional heat, but a microscopic level study was attempted and validated based on fractal theory for better understanding and better accuracy. This study has mainly focussed on the microscopic approach of frictional heat-generating in the Friction Stir Welding Process implementing a time-dependent state between the tool and Aluminium plate interface. The assessment was conducted from 1 to 13 s after every 3 s. On the tool and the plate, the effect is observed every 3 s. The temperature of the welding interface and the contours around the tool were observed by the closed packing and were considerably affected by the FSP process. Temperature variations on the tool and pin are closely monitored and marked by points, which tell how the welding operation occurs with a time change in this process. The maximum and minimum temperature were achieved at four-time steps, showing the temperature change and its maximum position with time. The flow of conductive heat flux around the tool is depicted using streamlines, which aids in plate and tool material selection for better outcomes. Temperature variations, heat flow, and conductive heat flux are monitored and explained in-depth on the tool and plate. The maximum temperature (around 922 K) was found to be obtained at t = 13 s during the welding process at the juncture of the shoulder and tip of the tool. Whereas the minimum temperature was obtained at t = 1 s, at the extreme age of the workpiece. The flow of conductive heat flux was observed to begin from the tip-workpiece interface towards the edges of the workpiece surfaces under various time intervals. The disturbance in lines is also validated by the maximum temperature obtained at t = 1 s is 518 K, t = 4 s is 752 K, t = 7 s is 882 K and at t = 10 s is 929 K. © King Fahd University of Petroleum & Minerals 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract When two bodies have relative motion while contacting each other, friction arises, and the heat generated is known to be friction heat generation. The macroscopic approach mostly does the calculations for frictional heat, but a microscopic level study was attempted and validated based on fractal theory for better understanding and better accuracy. This study has mainly focussed on the microscopic approach of frictional heat-generating in the Friction Stir Welding Process implementing a time-dependent state between the tool and Aluminium plate interface. The assessment was conducted from 1 to 13 s after every 3 s. On the tool and the plate, the effect is observed every 3 s. The temperature of the welding interface and the contours around the tool were observed by the closed packing and were considerably affected by the FSP process. Temperature variations on the tool and pin are closely monitored and marked by points, which tell how the welding operation occurs with a time change in this process. The maximum and minimum temperature were achieved at four-time steps, showing the temperature change and its maximum position with time. The flow of conductive heat flux around the tool is depicted using streamlines, which aids in plate and tool material selection for better outcomes. Temperature variations, heat flow, and conductive heat flux are monitored and explained in-depth on the tool and plate. The maximum temperature (around 922 K) was found to be obtained at t = 13 s during the welding process at the juncture of the shoulder and tip of the tool. Whereas the minimum temperature was obtained at t = 1 s, at the extreme age of the workpiece. The flow of conductive heat flux was observed to begin from the tip-workpiece interface towards the edges of the workpiece surfaces under various time intervals. The disturbance in lines is also validated by the maximum temperature obtained at t = 1 s is 518 K, t = 4 s is 752 K, t = 7 s is 882 K and at t = 10 s is 929 K. © King Fahd University of Petroleum & Minerals 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract When two bodies have relative motion while contacting each other, friction arises, and the heat generated is known to be friction heat generation. The macroscopic approach mostly does the calculations for frictional heat, but a microscopic level study was attempted and validated based on fractal theory for better understanding and better accuracy. This study has mainly focussed on the microscopic approach of frictional heat-generating in the Friction Stir Welding Process implementing a time-dependent state between the tool and Aluminium plate interface. The assessment was conducted from 1 to 13 s after every 3 s. On the tool and the plate, the effect is observed every 3 s. The temperature of the welding interface and the contours around the tool were observed by the closed packing and were considerably affected by the FSP process. Temperature variations on the tool and pin are closely monitored and marked by points, which tell how the welding operation occurs with a time change in this process. The maximum and minimum temperature were achieved at four-time steps, showing the temperature change and its maximum position with time. The flow of conductive heat flux around the tool is depicted using streamlines, which aids in plate and tool material selection for better outcomes. Temperature variations, heat flow, and conductive heat flux are monitored and explained in-depth on the tool and plate. The maximum temperature (around 922 K) was found to be obtained at t = 13 s during the welding process at the juncture of the shoulder and tip of the tool. Whereas the minimum temperature was obtained at t = 1 s, at the extreme age of the workpiece. The flow of conductive heat flux was observed to begin from the tip-workpiece interface towards the edges of the workpiece surfaces under various time intervals. The disturbance in lines is also validated by the maximum temperature obtained at t = 1 s is 518 K, t = 4 s is 752 K, t = 7 s is 882 K and at t = 10 s is 929 K. © King Fahd University of Petroleum & Minerals 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Computational Fluid Dynamics Approach for Frictional Heat Flow Analysis During Friction Stir Welding Process |
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https://dx.doi.org/10.1007/s13369-022-07215-4 |
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Rathee, Premdeep Singh Khan, Mohammad Mohsin |
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| score |
7.3984118 |