Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm

A numerical investigation was conducted to explore the heat transfer and flow characteristics of welded plate heat exchanger with chevron sinusoidal corrugated plates and to find the optimal parameter design in this paper. For better thermo-hydraulic performance, the effects of chevron angle (β = 30...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Yicong, Li [verfasserIn] Chunyu, Shi [verfasserIn] Wei, Liu [verfasserIn] Zhichun, Liu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Structural optimization Welded plate heat exchanger Artificial neural network Multi-objective optimization

Übergeordnetes Werk:	Enthalten in: International communications in heat and mass transfer - Amsterdam [u.a.] : Elsevier Science, 1983, 146
Übergeordnetes Werk:	volume:146

DOI / URN:	10.1016/j.icheatmasstransfer.2023.106900

Katalog-ID:	ELV061031984

Internformat


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245	1	0	\|a Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm
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520			\|a A numerical investigation was conducted to explore the heat transfer and flow characteristics of welded plate heat exchanger with chevron sinusoidal corrugated plates and to find the optimal parameter design in this paper. For better thermo-hydraulic performance, the effects of chevron angle (β = 30°,45°,60°), the height of the corrugations (H = 3,5,7,9) and the pitch of corrugations (P = 15,20,30,45,60) were studied with inlet velocity ranged from 0.1 m/s to 0.5 m/s. Moreover, artificial neural networks (ANNs) and multi-objective genetic algorithm (MOGA) were employed to obtain optimization solutions of the structural parameters. With the analysis of flow form inside the flow channel, it was proposed that the chevron sinusoidal corrugated plates were helpful to transform the axial velocity of fluid to radial velocity, forming turbulence and secondary flow in the narrow region. The numerical results showed that the comprehensive performance of the plate with β = 45° was better than the other two, while P = 30 mm and H = 9 mm also performed well in this paper. Besides, an optimal parameters set was obtained with P = 15.132 mm, H = 3.005 mm, β = 45.495° when the velocity of inlet was set as 0.1 m/s, the maximum JF could reach 0.034 as the results of multi-objective optimization.
650		4	\|a Structural optimization
650		4	\|a Welded plate heat exchanger
650		4	\|a Artificial neural network
650		4	\|a Multi-objective optimization
700	1		\|a Chunyu, Shi \|e verfasserin \|4 aut
700	1		\|a Wei, Liu \|e verfasserin \|4 aut
700	1		\|a Zhichun, Liu \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t International communications in heat and mass transfer \|d Amsterdam [u.a.] : Elsevier Science, 1983 \|g 146 \|h Online-Ressource \|w (DE-627)320604373 \|w (DE-600)2020560-0 \|w (DE-576)096806710 \|7 nnns
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publishDate	2023
allfields	10.1016/j.icheatmasstransfer.2023.106900 doi (DE-627)ELV061031984 (ELSEVIER)S0735-1933(23)00289-0 DE-627 ger DE-627 rda eng 620 VZ 50.38 bkl Yicong, Li verfasserin aut Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A numerical investigation was conducted to explore the heat transfer and flow characteristics of welded plate heat exchanger with chevron sinusoidal corrugated plates and to find the optimal parameter design in this paper. For better thermo-hydraulic performance, the effects of chevron angle (β = 30°,45°,60°), the height of the corrugations (H = 3,5,7,9) and the pitch of corrugations (P = 15,20,30,45,60) were studied with inlet velocity ranged from 0.1 m/s to 0.5 m/s. Moreover, artificial neural networks (ANNs) and multi-objective genetic algorithm (MOGA) were employed to obtain optimization solutions of the structural parameters. With the analysis of flow form inside the flow channel, it was proposed that the chevron sinusoidal corrugated plates were helpful to transform the axial velocity of fluid to radial velocity, forming turbulence and secondary flow in the narrow region. The numerical results showed that the comprehensive performance of the plate with β = 45° was better than the other two, while P = 30 mm and H = 9 mm also performed well in this paper. Besides, an optimal parameters set was obtained with P = 15.132 mm, H = 3.005 mm, β = 45.495° when the velocity of inlet was set as 0.1 m/s, the maximum JF could reach 0.034 as the results of multi-objective optimization. Structural optimization Welded plate heat exchanger Artificial neural network Multi-objective optimization Chunyu, Shi verfasserin aut Wei, Liu verfasserin aut Zhichun, Liu verfasserin aut Enthalten in International communications in heat and mass transfer Amsterdam [u.a.] : Elsevier Science, 1983 146 Online-Ressource (DE-627)320604373 (DE-600)2020560-0 (DE-576)096806710 nnns volume:146 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 50.38 Technische Thermodynamik VZ AR 146
spelling	10.1016/j.icheatmasstransfer.2023.106900 doi (DE-627)ELV061031984 (ELSEVIER)S0735-1933(23)00289-0 DE-627 ger DE-627 rda eng 620 VZ 50.38 bkl Yicong, Li verfasserin aut Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A numerical investigation was conducted to explore the heat transfer and flow characteristics of welded plate heat exchanger with chevron sinusoidal corrugated plates and to find the optimal parameter design in this paper. For better thermo-hydraulic performance, the effects of chevron angle (β = 30°,45°,60°), the height of the corrugations (H = 3,5,7,9) and the pitch of corrugations (P = 15,20,30,45,60) were studied with inlet velocity ranged from 0.1 m/s to 0.5 m/s. Moreover, artificial neural networks (ANNs) and multi-objective genetic algorithm (MOGA) were employed to obtain optimization solutions of the structural parameters. With the analysis of flow form inside the flow channel, it was proposed that the chevron sinusoidal corrugated plates were helpful to transform the axial velocity of fluid to radial velocity, forming turbulence and secondary flow in the narrow region. The numerical results showed that the comprehensive performance of the plate with β = 45° was better than the other two, while P = 30 mm and H = 9 mm also performed well in this paper. Besides, an optimal parameters set was obtained with P = 15.132 mm, H = 3.005 mm, β = 45.495° when the velocity of inlet was set as 0.1 m/s, the maximum JF could reach 0.034 as the results of multi-objective optimization. Structural optimization Welded plate heat exchanger Artificial neural network Multi-objective optimization Chunyu, Shi verfasserin aut Wei, Liu verfasserin aut Zhichun, Liu verfasserin aut Enthalten in International communications in heat and mass transfer Amsterdam [u.a.] : Elsevier Science, 1983 146 Online-Ressource (DE-627)320604373 (DE-600)2020560-0 (DE-576)096806710 nnns volume:146 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 50.38 Technische Thermodynamik VZ AR 146
allfields_unstemmed	10.1016/j.icheatmasstransfer.2023.106900 doi (DE-627)ELV061031984 (ELSEVIER)S0735-1933(23)00289-0 DE-627 ger DE-627 rda eng 620 VZ 50.38 bkl Yicong, Li verfasserin aut Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A numerical investigation was conducted to explore the heat transfer and flow characteristics of welded plate heat exchanger with chevron sinusoidal corrugated plates and to find the optimal parameter design in this paper. For better thermo-hydraulic performance, the effects of chevron angle (β = 30°,45°,60°), the height of the corrugations (H = 3,5,7,9) and the pitch of corrugations (P = 15,20,30,45,60) were studied with inlet velocity ranged from 0.1 m/s to 0.5 m/s. Moreover, artificial neural networks (ANNs) and multi-objective genetic algorithm (MOGA) were employed to obtain optimization solutions of the structural parameters. With the analysis of flow form inside the flow channel, it was proposed that the chevron sinusoidal corrugated plates were helpful to transform the axial velocity of fluid to radial velocity, forming turbulence and secondary flow in the narrow region. The numerical results showed that the comprehensive performance of the plate with β = 45° was better than the other two, while P = 30 mm and H = 9 mm also performed well in this paper. Besides, an optimal parameters set was obtained with P = 15.132 mm, H = 3.005 mm, β = 45.495° when the velocity of inlet was set as 0.1 m/s, the maximum JF could reach 0.034 as the results of multi-objective optimization. Structural optimization Welded plate heat exchanger Artificial neural network Multi-objective optimization Chunyu, Shi verfasserin aut Wei, Liu verfasserin aut Zhichun, Liu verfasserin aut Enthalten in International communications in heat and mass transfer Amsterdam [u.a.] : Elsevier Science, 1983 146 Online-Ressource (DE-627)320604373 (DE-600)2020560-0 (DE-576)096806710 nnns volume:146 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 50.38 Technische Thermodynamik VZ AR 146
allfieldsGer	10.1016/j.icheatmasstransfer.2023.106900 doi (DE-627)ELV061031984 (ELSEVIER)S0735-1933(23)00289-0 DE-627 ger DE-627 rda eng 620 VZ 50.38 bkl Yicong, Li verfasserin aut Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A numerical investigation was conducted to explore the heat transfer and flow characteristics of welded plate heat exchanger with chevron sinusoidal corrugated plates and to find the optimal parameter design in this paper. For better thermo-hydraulic performance, the effects of chevron angle (β = 30°,45°,60°), the height of the corrugations (H = 3,5,7,9) and the pitch of corrugations (P = 15,20,30,45,60) were studied with inlet velocity ranged from 0.1 m/s to 0.5 m/s. Moreover, artificial neural networks (ANNs) and multi-objective genetic algorithm (MOGA) were employed to obtain optimization solutions of the structural parameters. With the analysis of flow form inside the flow channel, it was proposed that the chevron sinusoidal corrugated plates were helpful to transform the axial velocity of fluid to radial velocity, forming turbulence and secondary flow in the narrow region. The numerical results showed that the comprehensive performance of the plate with β = 45° was better than the other two, while P = 30 mm and H = 9 mm also performed well in this paper. Besides, an optimal parameters set was obtained with P = 15.132 mm, H = 3.005 mm, β = 45.495° when the velocity of inlet was set as 0.1 m/s, the maximum JF could reach 0.034 as the results of multi-objective optimization. Structural optimization Welded plate heat exchanger Artificial neural network Multi-objective optimization Chunyu, Shi verfasserin aut Wei, Liu verfasserin aut Zhichun, Liu verfasserin aut Enthalten in International communications in heat and mass transfer Amsterdam [u.a.] : Elsevier Science, 1983 146 Online-Ressource (DE-627)320604373 (DE-600)2020560-0 (DE-576)096806710 nnns volume:146 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 50.38 Technische Thermodynamik VZ AR 146
allfieldsSound	10.1016/j.icheatmasstransfer.2023.106900 doi (DE-627)ELV061031984 (ELSEVIER)S0735-1933(23)00289-0 DE-627 ger DE-627 rda eng 620 VZ 50.38 bkl Yicong, Li verfasserin aut Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A numerical investigation was conducted to explore the heat transfer and flow characteristics of welded plate heat exchanger with chevron sinusoidal corrugated plates and to find the optimal parameter design in this paper. For better thermo-hydraulic performance, the effects of chevron angle (β = 30°,45°,60°), the height of the corrugations (H = 3,5,7,9) and the pitch of corrugations (P = 15,20,30,45,60) were studied with inlet velocity ranged from 0.1 m/s to 0.5 m/s. Moreover, artificial neural networks (ANNs) and multi-objective genetic algorithm (MOGA) were employed to obtain optimization solutions of the structural parameters. With the analysis of flow form inside the flow channel, it was proposed that the chevron sinusoidal corrugated plates were helpful to transform the axial velocity of fluid to radial velocity, forming turbulence and secondary flow in the narrow region. The numerical results showed that the comprehensive performance of the plate with β = 45° was better than the other two, while P = 30 mm and H = 9 mm also performed well in this paper. Besides, an optimal parameters set was obtained with P = 15.132 mm, H = 3.005 mm, β = 45.495° when the velocity of inlet was set as 0.1 m/s, the maximum JF could reach 0.034 as the results of multi-objective optimization. Structural optimization Welded plate heat exchanger Artificial neural network Multi-objective optimization Chunyu, Shi verfasserin aut Wei, Liu verfasserin aut Zhichun, Liu verfasserin aut Enthalten in International communications in heat and mass transfer Amsterdam [u.a.] : Elsevier Science, 1983 146 Online-Ressource (DE-627)320604373 (DE-600)2020560-0 (DE-576)096806710 nnns volume:146 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 50.38 Technische Thermodynamik VZ AR 146
language	English
source	Enthalten in International communications in heat and mass transfer 146 volume:146
sourceStr	Enthalten in International communications in heat and mass transfer 146 volume:146
format_phy_str_mv	Article
bklname	Technische Thermodynamik
institution	findex.gbv.de
topic_facet	Structural optimization Welded plate heat exchanger Artificial neural network Multi-objective optimization
dewey-raw	620
isfreeaccess_bool	false
container_title	International communications in heat and mass transfer
authorswithroles_txt_mv	Yicong, Li @@aut@@ Chunyu, Shi @@aut@@ Wei, Liu @@aut@@ Zhichun, Liu @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	320604373
dewey-sort	3620
id	ELV061031984
language_de	englisch
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author	Yicong, Li
spellingShingle	Yicong, Li ddc 620 bkl 50.38 misc Structural optimization misc Welded plate heat exchanger misc Artificial neural network misc Multi-objective optimization Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm
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topic_title	620 VZ 50.38 bkl Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm Structural optimization Welded plate heat exchanger Artificial neural network Multi-objective optimization
topic	ddc 620 bkl 50.38 misc Structural optimization misc Welded plate heat exchanger misc Artificial neural network misc Multi-objective optimization
topic_unstemmed	ddc 620 bkl 50.38 misc Structural optimization misc Welded plate heat exchanger misc Artificial neural network misc Multi-objective optimization
topic_browse	ddc 620 bkl 50.38 misc Structural optimization misc Welded plate heat exchanger misc Artificial neural network misc Multi-objective optimization
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title	Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm
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title_full	Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm
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author_browse	Yicong, Li Chunyu, Shi Wei, Liu Zhichun, Liu
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title_sort	structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm
title_auth	Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm
abstract	A numerical investigation was conducted to explore the heat transfer and flow characteristics of welded plate heat exchanger with chevron sinusoidal corrugated plates and to find the optimal parameter design in this paper. For better thermo-hydraulic performance, the effects of chevron angle (β = 30°,45°,60°), the height of the corrugations (H = 3,5,7,9) and the pitch of corrugations (P = 15,20,30,45,60) were studied with inlet velocity ranged from 0.1 m/s to 0.5 m/s. Moreover, artificial neural networks (ANNs) and multi-objective genetic algorithm (MOGA) were employed to obtain optimization solutions of the structural parameters. With the analysis of flow form inside the flow channel, it was proposed that the chevron sinusoidal corrugated plates were helpful to transform the axial velocity of fluid to radial velocity, forming turbulence and secondary flow in the narrow region. The numerical results showed that the comprehensive performance of the plate with β = 45° was better than the other two, while P = 30 mm and H = 9 mm also performed well in this paper. Besides, an optimal parameters set was obtained with P = 15.132 mm, H = 3.005 mm, β = 45.495° when the velocity of inlet was set as 0.1 m/s, the maximum JF could reach 0.034 as the results of multi-objective optimization.
abstractGer	A numerical investigation was conducted to explore the heat transfer and flow characteristics of welded plate heat exchanger with chevron sinusoidal corrugated plates and to find the optimal parameter design in this paper. For better thermo-hydraulic performance, the effects of chevron angle (β = 30°,45°,60°), the height of the corrugations (H = 3,5,7,9) and the pitch of corrugations (P = 15,20,30,45,60) were studied with inlet velocity ranged from 0.1 m/s to 0.5 m/s. Moreover, artificial neural networks (ANNs) and multi-objective genetic algorithm (MOGA) were employed to obtain optimization solutions of the structural parameters. With the analysis of flow form inside the flow channel, it was proposed that the chevron sinusoidal corrugated plates were helpful to transform the axial velocity of fluid to radial velocity, forming turbulence and secondary flow in the narrow region. The numerical results showed that the comprehensive performance of the plate with β = 45° was better than the other two, while P = 30 mm and H = 9 mm also performed well in this paper. Besides, an optimal parameters set was obtained with P = 15.132 mm, H = 3.005 mm, β = 45.495° when the velocity of inlet was set as 0.1 m/s, the maximum JF could reach 0.034 as the results of multi-objective optimization.
abstract_unstemmed	A numerical investigation was conducted to explore the heat transfer and flow characteristics of welded plate heat exchanger with chevron sinusoidal corrugated plates and to find the optimal parameter design in this paper. For better thermo-hydraulic performance, the effects of chevron angle (β = 30°,45°,60°), the height of the corrugations (H = 3,5,7,9) and the pitch of corrugations (P = 15,20,30,45,60) were studied with inlet velocity ranged from 0.1 m/s to 0.5 m/s. Moreover, artificial neural networks (ANNs) and multi-objective genetic algorithm (MOGA) were employed to obtain optimization solutions of the structural parameters. With the analysis of flow form inside the flow channel, it was proposed that the chevron sinusoidal corrugated plates were helpful to transform the axial velocity of fluid to radial velocity, forming turbulence and secondary flow in the narrow region. The numerical results showed that the comprehensive performance of the plate with β = 45° was better than the other two, while P = 30 mm and H = 9 mm also performed well in this paper. Besides, an optimal parameters set was obtained with P = 15.132 mm, H = 3.005 mm, β = 45.495° when the velocity of inlet was set as 0.1 m/s, the maximum JF could reach 0.034 as the results of multi-objective optimization.
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title_short	Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm
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up_date	2024-07-06T17:08:17.721Z
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Structural parameter design of welded plate heat exchanger based on multi-objective optimization algorithm

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