Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method

Abstract High-speed machining is one of the emerging cutting processes possessing tremendous potential in the arena of increased metal removal rates as well in achieving improved surface finish, burr-free edges, dimensional accuracy and a virtually stress-free component after machining. However, as...
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Gespeichert in:

Autor*in:	Raja, V. Prabhu [verfasserIn] Moorthy, R. Sathiya [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	High-speed spindle Thermal characteristics Cooling channel Convection coefficient Coupled fluid–thermal analysis

Übergeordnetes Werk:	Enthalten in: The Arabian journal for science and engineering - Berlin : Springer, 2011, 44(2019), 6 vom: 08. Feb., Seite 5779-5785
Übergeordnetes Werk:	volume:44 ; year:2019 ; number:6 ; day:08 ; month:02 ; pages:5779-5785

Links:	Volltext

DOI / URN:	10.1007/s13369-019-03732-x

Katalog-ID:	SPR032074824

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520			\|a Abstract High-speed machining is one of the emerging cutting processes possessing tremendous potential in the arena of increased metal removal rates as well in achieving improved surface finish, burr-free edges, dimensional accuracy and a virtually stress-free component after machining. However, as known the performance of a machine tool depends on a number of factors of which the most important is the thermal behavior of the high-speed spindle. Thus, the temperature rise and the displacement due to temperature variation in the spindle components will severely affect the thermal characteristics of high-speed motorized spindle. Hence, it is significant to study its thermal behavior, and so in this paper, a coupled fluid–thermal (CFT) of a high-speed spindle is developed to simulate fluid-structural conjugate heat transfer. Based on the proposed model, the thermal characteristic of the high-speed spindle system is studied. The investigation revealed that the proposed CFT analysis for the motor cooling path has shown a minimum deviation in spindle temperature approximating to 7.6% when compared with that of attained experimental results at high speed.
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author_variant	v p r vp vpr r s m rs rsm
matchkey_str	article:21914281:2019----::rdcinfeprtrdsrbtootepnlssebpooefn
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allfields	10.1007/s13369-019-03732-x doi (DE-627)SPR032074824 (SPR)s13369-019-03732-x-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Raja, V. Prabhu verfasserin aut Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract High-speed machining is one of the emerging cutting processes possessing tremendous potential in the arena of increased metal removal rates as well in achieving improved surface finish, burr-free edges, dimensional accuracy and a virtually stress-free component after machining. However, as known the performance of a machine tool depends on a number of factors of which the most important is the thermal behavior of the high-speed spindle. Thus, the temperature rise and the displacement due to temperature variation in the spindle components will severely affect the thermal characteristics of high-speed motorized spindle. Hence, it is significant to study its thermal behavior, and so in this paper, a coupled fluid–thermal (CFT) of a high-speed spindle is developed to simulate fluid-structural conjugate heat transfer. Based on the proposed model, the thermal characteristic of the high-speed spindle system is studied. The investigation revealed that the proposed CFT analysis for the motor cooling path has shown a minimum deviation in spindle temperature approximating to 7.6% when compared with that of attained experimental results at high speed. High-speed spindle (dpeaa)DE-He213 Thermal characteristics (dpeaa)DE-He213 Cooling channel (dpeaa)DE-He213 Convection coefficient (dpeaa)DE-He213 Coupled fluid–thermal analysis (dpeaa)DE-He213 Moorthy, R. Sathiya verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 44(2019), 6 vom: 08. Feb., Seite 5779-5785 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:44 year:2019 number:6 day:08 month:02 pages:5779-5785 https://dx.doi.org/10.1007/s13369-019-03732-x 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_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_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 31.00 ASE AR 44 2019 6 08 02 5779-5785
spelling	10.1007/s13369-019-03732-x doi (DE-627)SPR032074824 (SPR)s13369-019-03732-x-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Raja, V. Prabhu verfasserin aut Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract High-speed machining is one of the emerging cutting processes possessing tremendous potential in the arena of increased metal removal rates as well in achieving improved surface finish, burr-free edges, dimensional accuracy and a virtually stress-free component after machining. However, as known the performance of a machine tool depends on a number of factors of which the most important is the thermal behavior of the high-speed spindle. Thus, the temperature rise and the displacement due to temperature variation in the spindle components will severely affect the thermal characteristics of high-speed motorized spindle. Hence, it is significant to study its thermal behavior, and so in this paper, a coupled fluid–thermal (CFT) of a high-speed spindle is developed to simulate fluid-structural conjugate heat transfer. Based on the proposed model, the thermal characteristic of the high-speed spindle system is studied. The investigation revealed that the proposed CFT analysis for the motor cooling path has shown a minimum deviation in spindle temperature approximating to 7.6% when compared with that of attained experimental results at high speed. High-speed spindle (dpeaa)DE-He213 Thermal characteristics (dpeaa)DE-He213 Cooling channel (dpeaa)DE-He213 Convection coefficient (dpeaa)DE-He213 Coupled fluid–thermal analysis (dpeaa)DE-He213 Moorthy, R. Sathiya verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 44(2019), 6 vom: 08. Feb., Seite 5779-5785 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:44 year:2019 number:6 day:08 month:02 pages:5779-5785 https://dx.doi.org/10.1007/s13369-019-03732-x 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_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_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 31.00 ASE AR 44 2019 6 08 02 5779-5785
allfields_unstemmed	10.1007/s13369-019-03732-x doi (DE-627)SPR032074824 (SPR)s13369-019-03732-x-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Raja, V. Prabhu verfasserin aut Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract High-speed machining is one of the emerging cutting processes possessing tremendous potential in the arena of increased metal removal rates as well in achieving improved surface finish, burr-free edges, dimensional accuracy and a virtually stress-free component after machining. However, as known the performance of a machine tool depends on a number of factors of which the most important is the thermal behavior of the high-speed spindle. Thus, the temperature rise and the displacement due to temperature variation in the spindle components will severely affect the thermal characteristics of high-speed motorized spindle. Hence, it is significant to study its thermal behavior, and so in this paper, a coupled fluid–thermal (CFT) of a high-speed spindle is developed to simulate fluid-structural conjugate heat transfer. Based on the proposed model, the thermal characteristic of the high-speed spindle system is studied. The investigation revealed that the proposed CFT analysis for the motor cooling path has shown a minimum deviation in spindle temperature approximating to 7.6% when compared with that of attained experimental results at high speed. High-speed spindle (dpeaa)DE-He213 Thermal characteristics (dpeaa)DE-He213 Cooling channel (dpeaa)DE-He213 Convection coefficient (dpeaa)DE-He213 Coupled fluid–thermal analysis (dpeaa)DE-He213 Moorthy, R. Sathiya verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 44(2019), 6 vom: 08. Feb., Seite 5779-5785 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:44 year:2019 number:6 day:08 month:02 pages:5779-5785 https://dx.doi.org/10.1007/s13369-019-03732-x 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_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_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 31.00 ASE AR 44 2019 6 08 02 5779-5785
allfieldsGer	10.1007/s13369-019-03732-x doi (DE-627)SPR032074824 (SPR)s13369-019-03732-x-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Raja, V. Prabhu verfasserin aut Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract High-speed machining is one of the emerging cutting processes possessing tremendous potential in the arena of increased metal removal rates as well in achieving improved surface finish, burr-free edges, dimensional accuracy and a virtually stress-free component after machining. However, as known the performance of a machine tool depends on a number of factors of which the most important is the thermal behavior of the high-speed spindle. Thus, the temperature rise and the displacement due to temperature variation in the spindle components will severely affect the thermal characteristics of high-speed motorized spindle. Hence, it is significant to study its thermal behavior, and so in this paper, a coupled fluid–thermal (CFT) of a high-speed spindle is developed to simulate fluid-structural conjugate heat transfer. Based on the proposed model, the thermal characteristic of the high-speed spindle system is studied. The investigation revealed that the proposed CFT analysis for the motor cooling path has shown a minimum deviation in spindle temperature approximating to 7.6% when compared with that of attained experimental results at high speed. High-speed spindle (dpeaa)DE-He213 Thermal characteristics (dpeaa)DE-He213 Cooling channel (dpeaa)DE-He213 Convection coefficient (dpeaa)DE-He213 Coupled fluid–thermal analysis (dpeaa)DE-He213 Moorthy, R. Sathiya verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 44(2019), 6 vom: 08. Feb., Seite 5779-5785 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:44 year:2019 number:6 day:08 month:02 pages:5779-5785 https://dx.doi.org/10.1007/s13369-019-03732-x 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_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_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 31.00 ASE AR 44 2019 6 08 02 5779-5785
allfieldsSound	10.1007/s13369-019-03732-x doi (DE-627)SPR032074824 (SPR)s13369-019-03732-x-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Raja, V. Prabhu verfasserin aut Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract High-speed machining is one of the emerging cutting processes possessing tremendous potential in the arena of increased metal removal rates as well in achieving improved surface finish, burr-free edges, dimensional accuracy and a virtually stress-free component after machining. However, as known the performance of a machine tool depends on a number of factors of which the most important is the thermal behavior of the high-speed spindle. Thus, the temperature rise and the displacement due to temperature variation in the spindle components will severely affect the thermal characteristics of high-speed motorized spindle. Hence, it is significant to study its thermal behavior, and so in this paper, a coupled fluid–thermal (CFT) of a high-speed spindle is developed to simulate fluid-structural conjugate heat transfer. Based on the proposed model, the thermal characteristic of the high-speed spindle system is studied. The investigation revealed that the proposed CFT analysis for the motor cooling path has shown a minimum deviation in spindle temperature approximating to 7.6% when compared with that of attained experimental results at high speed. High-speed spindle (dpeaa)DE-He213 Thermal characteristics (dpeaa)DE-He213 Cooling channel (dpeaa)DE-He213 Convection coefficient (dpeaa)DE-He213 Coupled fluid–thermal analysis (dpeaa)DE-He213 Moorthy, R. Sathiya verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 44(2019), 6 vom: 08. Feb., Seite 5779-5785 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:44 year:2019 number:6 day:08 month:02 pages:5779-5785 https://dx.doi.org/10.1007/s13369-019-03732-x 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_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_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 31.00 ASE AR 44 2019 6 08 02 5779-5785
language	English
source	Enthalten in The Arabian journal for science and engineering 44(2019), 6 vom: 08. Feb., Seite 5779-5785 volume:44 year:2019 number:6 day:08 month:02 pages:5779-5785
sourceStr	Enthalten in The Arabian journal for science and engineering 44(2019), 6 vom: 08. Feb., Seite 5779-5785 volume:44 year:2019 number:6 day:08 month:02 pages:5779-5785
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	High-speed spindle Thermal characteristics Cooling channel Convection coefficient Coupled fluid–thermal analysis
dewey-raw	600
isfreeaccess_bool	false
container_title	The Arabian journal for science and engineering
authorswithroles_txt_mv	Raja, V. Prabhu @@aut@@ Moorthy, R. Sathiya @@aut@@
publishDateDaySort_date	2019-02-08T00:00:00Z
hierarchy_top_id	588780731
dewey-sort	3600
id	SPR032074824
language_de	englisch
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author	Raja, V. Prabhu
spellingShingle	Raja, V. Prabhu ddc 600 bkl 31.00 misc High-speed spindle misc Thermal characteristics misc Cooling channel misc Convection coefficient misc Coupled fluid–thermal analysis Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method
authorStr	Raja, V. Prabhu
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topic_title	600 500 ASE 31.00 bkl Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method High-speed spindle (dpeaa)DE-He213 Thermal characteristics (dpeaa)DE-He213 Cooling channel (dpeaa)DE-He213 Convection coefficient (dpeaa)DE-He213 Coupled fluid–thermal analysis (dpeaa)DE-He213
topic	ddc 600 bkl 31.00 misc High-speed spindle misc Thermal characteristics misc Cooling channel misc Convection coefficient misc Coupled fluid–thermal analysis
topic_unstemmed	ddc 600 bkl 31.00 misc High-speed spindle misc Thermal characteristics misc Cooling channel misc Convection coefficient misc Coupled fluid–thermal analysis
topic_browse	ddc 600 bkl 31.00 misc High-speed spindle misc Thermal characteristics misc Cooling channel misc Convection coefficient misc Coupled fluid–thermal analysis
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title	Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method
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title_full	Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method
author_sort	Raja, V. Prabhu
journal	The Arabian journal for science and engineering
journalStr	The Arabian journal for science and engineering
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author_browse	Raja, V. Prabhu Moorthy, R. Sathiya
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author-letter	Raja, V. Prabhu
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title_sort	prediction of temperature distribution of the spindle system by proposed finite volume and element method
title_auth	Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method
abstract	Abstract High-speed machining is one of the emerging cutting processes possessing tremendous potential in the arena of increased metal removal rates as well in achieving improved surface finish, burr-free edges, dimensional accuracy and a virtually stress-free component after machining. However, as known the performance of a machine tool depends on a number of factors of which the most important is the thermal behavior of the high-speed spindle. Thus, the temperature rise and the displacement due to temperature variation in the spindle components will severely affect the thermal characteristics of high-speed motorized spindle. Hence, it is significant to study its thermal behavior, and so in this paper, a coupled fluid–thermal (CFT) of a high-speed spindle is developed to simulate fluid-structural conjugate heat transfer. Based on the proposed model, the thermal characteristic of the high-speed spindle system is studied. The investigation revealed that the proposed CFT analysis for the motor cooling path has shown a minimum deviation in spindle temperature approximating to 7.6% when compared with that of attained experimental results at high speed.
abstractGer	Abstract High-speed machining is one of the emerging cutting processes possessing tremendous potential in the arena of increased metal removal rates as well in achieving improved surface finish, burr-free edges, dimensional accuracy and a virtually stress-free component after machining. However, as known the performance of a machine tool depends on a number of factors of which the most important is the thermal behavior of the high-speed spindle. Thus, the temperature rise and the displacement due to temperature variation in the spindle components will severely affect the thermal characteristics of high-speed motorized spindle. Hence, it is significant to study its thermal behavior, and so in this paper, a coupled fluid–thermal (CFT) of a high-speed spindle is developed to simulate fluid-structural conjugate heat transfer. Based on the proposed model, the thermal characteristic of the high-speed spindle system is studied. The investigation revealed that the proposed CFT analysis for the motor cooling path has shown a minimum deviation in spindle temperature approximating to 7.6% when compared with that of attained experimental results at high speed.
abstract_unstemmed	Abstract High-speed machining is one of the emerging cutting processes possessing tremendous potential in the arena of increased metal removal rates as well in achieving improved surface finish, burr-free edges, dimensional accuracy and a virtually stress-free component after machining. However, as known the performance of a machine tool depends on a number of factors of which the most important is the thermal behavior of the high-speed spindle. Thus, the temperature rise and the displacement due to temperature variation in the spindle components will severely affect the thermal characteristics of high-speed motorized spindle. Hence, it is significant to study its thermal behavior, and so in this paper, a coupled fluid–thermal (CFT) of a high-speed spindle is developed to simulate fluid-structural conjugate heat transfer. Based on the proposed model, the thermal characteristic of the high-speed spindle system is studied. The investigation revealed that the proposed CFT analysis for the motor cooling path has shown a minimum deviation in spindle temperature approximating to 7.6% when compared with that of attained experimental results at high speed.
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container_issue	6
title_short	Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method
url	https://dx.doi.org/10.1007/s13369-019-03732-x
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author2	Moorthy, R. Sathiya
author2Str	Moorthy, R. Sathiya
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doi_str	10.1007/s13369-019-03732-x
up_date	2024-07-04T02:21:19.335Z
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Prediction of Temperature Distribution of the Spindle System by Proposed Finite Volume and Element Method

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