Topology optimization of convective heat transfer problems for non-Newtonian fluids

Abstract We conduct topology optimization of convective heat transfer problems based on the power law type non-Newtonian fluid. A heat transfer maximization problem is studied by using a material distribution based optimization method to optimize configurations of non-Newtonian cooling devices. The...
Ausführliche Beschreibung

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Autor*in:	Zhang, Bin [verfasserIn] Gao, Limin

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Topology optimization Non-Newtonian fluid Thermal-fluid Convective heat transfer Power law model Sensitivity analysis

Anmerkung:	© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Übergeordnetes Werk:	Enthalten in: Structural and multidisciplinary optimization - Berlin : Springer, 1989, 60(2019), 5 vom: 28. Mai, Seite 1821-1840
Übergeordnetes Werk:	volume:60 ; year:2019 ; number:5 ; day:28 ; month:05 ; pages:1821-1840

Links:	Volltext

DOI / URN:	10.1007/s00158-019-02296-6

Katalog-ID:	SPR001331337

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520			\|a Abstract We conduct topology optimization of convective heat transfer problems based on the power law type non-Newtonian fluid. A heat transfer maximization problem is studied by using a material distribution based optimization method to optimize configurations of non-Newtonian cooling devices. The key idea of the method is to discern the fluid and the solid domains by a design variable, namely the “material density.” It is updated according to the gradient information obtained from an adjoint-based sensitivity analysis process. The non-Newtonian effects on optimal configurations of thermal devices are numerically investigated. Our results show that more branched flow channels appear in the optimal designs as the pressure difference or heat generation grows. Meanwhile, the dependence of the optimal layout on the power law index is demonstrated and higher power law index can result in more complex configurations and lower flow rate. Compared with the low power law index one, the optimal design of the high power law index problem has much better heat transfer performance on the same condition.
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allfields	10.1007/s00158-019-02296-6 doi (DE-627)SPR001331337 (SPR)s00158-019-02296-6-e DE-627 ger DE-627 rakwb eng Zhang, Bin verfasserin (orcid)0000-0001-7630-5802 aut Topology optimization of convective heat transfer problems for non-Newtonian fluids 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract We conduct topology optimization of convective heat transfer problems based on the power law type non-Newtonian fluid. A heat transfer maximization problem is studied by using a material distribution based optimization method to optimize configurations of non-Newtonian cooling devices. The key idea of the method is to discern the fluid and the solid domains by a design variable, namely the “material density.” It is updated according to the gradient information obtained from an adjoint-based sensitivity analysis process. The non-Newtonian effects on optimal configurations of thermal devices are numerically investigated. Our results show that more branched flow channels appear in the optimal designs as the pressure difference or heat generation grows. Meanwhile, the dependence of the optimal layout on the power law index is demonstrated and higher power law index can result in more complex configurations and lower flow rate. Compared with the low power law index one, the optimal design of the high power law index problem has much better heat transfer performance on the same condition. Topology optimization (dpeaa)DE-He213 Non-Newtonian fluid (dpeaa)DE-He213 Thermal-fluid (dpeaa)DE-He213 Convective heat transfer (dpeaa)DE-He213 Power law model (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Gao, Limin aut Enthalten in Structural and multidisciplinary optimization Berlin : Springer, 1989 60(2019), 5 vom: 28. Mai, Seite 1821-1840 (DE-627)271602503 (DE-600)1481279-4 1615-1488 nnns volume:60 year:2019 number:5 day:28 month:05 pages:1821-1840 https://dx.doi.org/10.1007/s00158-019-02296-6 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_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_267 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_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 AR 60 2019 5 28 05 1821-1840
spelling	10.1007/s00158-019-02296-6 doi (DE-627)SPR001331337 (SPR)s00158-019-02296-6-e DE-627 ger DE-627 rakwb eng Zhang, Bin verfasserin (orcid)0000-0001-7630-5802 aut Topology optimization of convective heat transfer problems for non-Newtonian fluids 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract We conduct topology optimization of convective heat transfer problems based on the power law type non-Newtonian fluid. A heat transfer maximization problem is studied by using a material distribution based optimization method to optimize configurations of non-Newtonian cooling devices. The key idea of the method is to discern the fluid and the solid domains by a design variable, namely the “material density.” It is updated according to the gradient information obtained from an adjoint-based sensitivity analysis process. The non-Newtonian effects on optimal configurations of thermal devices are numerically investigated. Our results show that more branched flow channels appear in the optimal designs as the pressure difference or heat generation grows. Meanwhile, the dependence of the optimal layout on the power law index is demonstrated and higher power law index can result in more complex configurations and lower flow rate. Compared with the low power law index one, the optimal design of the high power law index problem has much better heat transfer performance on the same condition. Topology optimization (dpeaa)DE-He213 Non-Newtonian fluid (dpeaa)DE-He213 Thermal-fluid (dpeaa)DE-He213 Convective heat transfer (dpeaa)DE-He213 Power law model (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Gao, Limin aut Enthalten in Structural and multidisciplinary optimization Berlin : Springer, 1989 60(2019), 5 vom: 28. Mai, Seite 1821-1840 (DE-627)271602503 (DE-600)1481279-4 1615-1488 nnns volume:60 year:2019 number:5 day:28 month:05 pages:1821-1840 https://dx.doi.org/10.1007/s00158-019-02296-6 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_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_267 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_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 AR 60 2019 5 28 05 1821-1840
allfields_unstemmed	10.1007/s00158-019-02296-6 doi (DE-627)SPR001331337 (SPR)s00158-019-02296-6-e DE-627 ger DE-627 rakwb eng Zhang, Bin verfasserin (orcid)0000-0001-7630-5802 aut Topology optimization of convective heat transfer problems for non-Newtonian fluids 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract We conduct topology optimization of convective heat transfer problems based on the power law type non-Newtonian fluid. A heat transfer maximization problem is studied by using a material distribution based optimization method to optimize configurations of non-Newtonian cooling devices. The key idea of the method is to discern the fluid and the solid domains by a design variable, namely the “material density.” It is updated according to the gradient information obtained from an adjoint-based sensitivity analysis process. The non-Newtonian effects on optimal configurations of thermal devices are numerically investigated. Our results show that more branched flow channels appear in the optimal designs as the pressure difference or heat generation grows. Meanwhile, the dependence of the optimal layout on the power law index is demonstrated and higher power law index can result in more complex configurations and lower flow rate. Compared with the low power law index one, the optimal design of the high power law index problem has much better heat transfer performance on the same condition. Topology optimization (dpeaa)DE-He213 Non-Newtonian fluid (dpeaa)DE-He213 Thermal-fluid (dpeaa)DE-He213 Convective heat transfer (dpeaa)DE-He213 Power law model (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Gao, Limin aut Enthalten in Structural and multidisciplinary optimization Berlin : Springer, 1989 60(2019), 5 vom: 28. Mai, Seite 1821-1840 (DE-627)271602503 (DE-600)1481279-4 1615-1488 nnns volume:60 year:2019 number:5 day:28 month:05 pages:1821-1840 https://dx.doi.org/10.1007/s00158-019-02296-6 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_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_267 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_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 AR 60 2019 5 28 05 1821-1840
allfieldsGer	10.1007/s00158-019-02296-6 doi (DE-627)SPR001331337 (SPR)s00158-019-02296-6-e DE-627 ger DE-627 rakwb eng Zhang, Bin verfasserin (orcid)0000-0001-7630-5802 aut Topology optimization of convective heat transfer problems for non-Newtonian fluids 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract We conduct topology optimization of convective heat transfer problems based on the power law type non-Newtonian fluid. A heat transfer maximization problem is studied by using a material distribution based optimization method to optimize configurations of non-Newtonian cooling devices. The key idea of the method is to discern the fluid and the solid domains by a design variable, namely the “material density.” It is updated according to the gradient information obtained from an adjoint-based sensitivity analysis process. The non-Newtonian effects on optimal configurations of thermal devices are numerically investigated. Our results show that more branched flow channels appear in the optimal designs as the pressure difference or heat generation grows. Meanwhile, the dependence of the optimal layout on the power law index is demonstrated and higher power law index can result in more complex configurations and lower flow rate. Compared with the low power law index one, the optimal design of the high power law index problem has much better heat transfer performance on the same condition. Topology optimization (dpeaa)DE-He213 Non-Newtonian fluid (dpeaa)DE-He213 Thermal-fluid (dpeaa)DE-He213 Convective heat transfer (dpeaa)DE-He213 Power law model (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Gao, Limin aut Enthalten in Structural and multidisciplinary optimization Berlin : Springer, 1989 60(2019), 5 vom: 28. Mai, Seite 1821-1840 (DE-627)271602503 (DE-600)1481279-4 1615-1488 nnns volume:60 year:2019 number:5 day:28 month:05 pages:1821-1840 https://dx.doi.org/10.1007/s00158-019-02296-6 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_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_267 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_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 AR 60 2019 5 28 05 1821-1840
allfieldsSound	10.1007/s00158-019-02296-6 doi (DE-627)SPR001331337 (SPR)s00158-019-02296-6-e DE-627 ger DE-627 rakwb eng Zhang, Bin verfasserin (orcid)0000-0001-7630-5802 aut Topology optimization of convective heat transfer problems for non-Newtonian fluids 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract We conduct topology optimization of convective heat transfer problems based on the power law type non-Newtonian fluid. A heat transfer maximization problem is studied by using a material distribution based optimization method to optimize configurations of non-Newtonian cooling devices. The key idea of the method is to discern the fluid and the solid domains by a design variable, namely the “material density.” It is updated according to the gradient information obtained from an adjoint-based sensitivity analysis process. The non-Newtonian effects on optimal configurations of thermal devices are numerically investigated. Our results show that more branched flow channels appear in the optimal designs as the pressure difference or heat generation grows. Meanwhile, the dependence of the optimal layout on the power law index is demonstrated and higher power law index can result in more complex configurations and lower flow rate. Compared with the low power law index one, the optimal design of the high power law index problem has much better heat transfer performance on the same condition. Topology optimization (dpeaa)DE-He213 Non-Newtonian fluid (dpeaa)DE-He213 Thermal-fluid (dpeaa)DE-He213 Convective heat transfer (dpeaa)DE-He213 Power law model (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Gao, Limin aut Enthalten in Structural and multidisciplinary optimization Berlin : Springer, 1989 60(2019), 5 vom: 28. Mai, Seite 1821-1840 (DE-627)271602503 (DE-600)1481279-4 1615-1488 nnns volume:60 year:2019 number:5 day:28 month:05 pages:1821-1840 https://dx.doi.org/10.1007/s00158-019-02296-6 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_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_267 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_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 AR 60 2019 5 28 05 1821-1840
language	English
source	Enthalten in Structural and multidisciplinary optimization 60(2019), 5 vom: 28. Mai, Seite 1821-1840 volume:60 year:2019 number:5 day:28 month:05 pages:1821-1840
sourceStr	Enthalten in Structural and multidisciplinary optimization 60(2019), 5 vom: 28. Mai, Seite 1821-1840 volume:60 year:2019 number:5 day:28 month:05 pages:1821-1840
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Topology optimization Non-Newtonian fluid Thermal-fluid Convective heat transfer Power law model Sensitivity analysis
isfreeaccess_bool	false
container_title	Structural and multidisciplinary optimization
authorswithroles_txt_mv	Zhang, Bin @@aut@@ Gao, Limin @@aut@@
publishDateDaySort_date	2019-05-28T00:00:00Z
hierarchy_top_id	271602503
id	SPR001331337
language_de	englisch
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A heat transfer maximization problem is studied by using a material distribution based optimization method to optimize configurations of non-Newtonian cooling devices. The key idea of the method is to discern the fluid and the solid domains by a design variable, namely the “material density.” It is updated according to the gradient information obtained from an adjoint-based sensitivity analysis process. The non-Newtonian effects on optimal configurations of thermal devices are numerically investigated. Our results show that more branched flow channels appear in the optimal designs as the pressure difference or heat generation grows. Meanwhile, the dependence of the optimal layout on the power law index is demonstrated and higher power law index can result in more complex configurations and lower flow rate. 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author	Zhang, Bin
spellingShingle	Zhang, Bin misc Topology optimization misc Non-Newtonian fluid misc Thermal-fluid misc Convective heat transfer misc Power law model misc Sensitivity analysis Topology optimization of convective heat transfer problems for non-Newtonian fluids
authorStr	Zhang, Bin
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topic_title	Topology optimization of convective heat transfer problems for non-Newtonian fluids Topology optimization (dpeaa)DE-He213 Non-Newtonian fluid (dpeaa)DE-He213 Thermal-fluid (dpeaa)DE-He213 Convective heat transfer (dpeaa)DE-He213 Power law model (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213
topic	misc Topology optimization misc Non-Newtonian fluid misc Thermal-fluid misc Convective heat transfer misc Power law model misc Sensitivity analysis
topic_unstemmed	misc Topology optimization misc Non-Newtonian fluid misc Thermal-fluid misc Convective heat transfer misc Power law model misc Sensitivity analysis
topic_browse	misc Topology optimization misc Non-Newtonian fluid misc Thermal-fluid misc Convective heat transfer misc Power law model misc Sensitivity analysis
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title	Topology optimization of convective heat transfer problems for non-Newtonian fluids
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title_full	Topology optimization of convective heat transfer problems for non-Newtonian fluids
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author-letter	Zhang, Bin
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title_sort	topology optimization of convective heat transfer problems for non-newtonian fluids
title_auth	Topology optimization of convective heat transfer problems for non-Newtonian fluids
abstract	Abstract We conduct topology optimization of convective heat transfer problems based on the power law type non-Newtonian fluid. A heat transfer maximization problem is studied by using a material distribution based optimization method to optimize configurations of non-Newtonian cooling devices. The key idea of the method is to discern the fluid and the solid domains by a design variable, namely the “material density.” It is updated according to the gradient information obtained from an adjoint-based sensitivity analysis process. The non-Newtonian effects on optimal configurations of thermal devices are numerically investigated. Our results show that more branched flow channels appear in the optimal designs as the pressure difference or heat generation grows. Meanwhile, the dependence of the optimal layout on the power law index is demonstrated and higher power law index can result in more complex configurations and lower flow rate. Compared with the low power law index one, the optimal design of the high power law index problem has much better heat transfer performance on the same condition. © Springer-Verlag GmbH Germany, part of Springer Nature 2019
abstractGer	Abstract We conduct topology optimization of convective heat transfer problems based on the power law type non-Newtonian fluid. A heat transfer maximization problem is studied by using a material distribution based optimization method to optimize configurations of non-Newtonian cooling devices. The key idea of the method is to discern the fluid and the solid domains by a design variable, namely the “material density.” It is updated according to the gradient information obtained from an adjoint-based sensitivity analysis process. The non-Newtonian effects on optimal configurations of thermal devices are numerically investigated. Our results show that more branched flow channels appear in the optimal designs as the pressure difference or heat generation grows. Meanwhile, the dependence of the optimal layout on the power law index is demonstrated and higher power law index can result in more complex configurations and lower flow rate. Compared with the low power law index one, the optimal design of the high power law index problem has much better heat transfer performance on the same condition. © Springer-Verlag GmbH Germany, part of Springer Nature 2019
abstract_unstemmed	Abstract We conduct topology optimization of convective heat transfer problems based on the power law type non-Newtonian fluid. A heat transfer maximization problem is studied by using a material distribution based optimization method to optimize configurations of non-Newtonian cooling devices. The key idea of the method is to discern the fluid and the solid domains by a design variable, namely the “material density.” It is updated according to the gradient information obtained from an adjoint-based sensitivity analysis process. The non-Newtonian effects on optimal configurations of thermal devices are numerically investigated. Our results show that more branched flow channels appear in the optimal designs as the pressure difference or heat generation grows. Meanwhile, the dependence of the optimal layout on the power law index is demonstrated and higher power law index can result in more complex configurations and lower flow rate. Compared with the low power law index one, the optimal design of the high power law index problem has much better heat transfer performance on the same condition. © Springer-Verlag GmbH Germany, part of Springer Nature 2019
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container_issue	5
title_short	Topology optimization of convective heat transfer problems for non-Newtonian fluids
url	https://dx.doi.org/10.1007/s00158-019-02296-6
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author2	Gao, Limin
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doi_str	10.1007/s00158-019-02296-6
up_date	2024-07-03T21:50:50.794Z
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Topology optimization of convective heat transfer problems for non-Newtonian fluids

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