Enhancing performance of polymer-based microchannel heat exchanger with nanofluid: A computational fluid dynamics-artificial neural network approach
Polymer-based heat exchangers can offer a promising solution for environmental sustainability due to their low energy consumption. The incorporation of microchannels and nanofluids further enhances the heat transfer performance of these heat exchangersIn this study, a polymer-based microchannel heat...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | South African Journal of Chemical Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1026918523000860 |
| _version_ | 1797660509643735040 |
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| author | Chaiyanan Kamsuwan Xiaolin Wang Lee Poh Seng Cheng Kai Xian Ratchanon Piemjaiswang Pornpote Piumsomboon Kanit Manatura Mongkol Kaewbumrung Yotsakorn Pratumwal Somboon Otarawanna Benjapon Chalermsinsuwan |
| author_facet | Chaiyanan Kamsuwan Xiaolin Wang Lee Poh Seng Cheng Kai Xian Ratchanon Piemjaiswang Pornpote Piumsomboon Kanit Manatura Mongkol Kaewbumrung Yotsakorn Pratumwal Somboon Otarawanna Benjapon Chalermsinsuwan |
| author_sort | Chaiyanan Kamsuwan |
| collection | DOAJ |
| description | Polymer-based heat exchangers can offer a promising solution for environmental sustainability due to their low energy consumption. The incorporation of microchannels and nanofluids further enhances the heat transfer performance of these heat exchangersIn this study, a polymer-based microchannel heat exchanger combined with nanofluid is simulated through the integration of an artificial neural network predictive model and a three-dimensional computational fluid dynamics model. This study unveils an advanced calculation that integrates artificial intelligence and readily-available computational software provided as the advanced calculation system. A statistical mathematics response surface method which data is used for correlating the calculation model is applied to obtain the design parameters between operating conditions and for optimal performance. The optimized results reveal that polymer-based microchannel heat exchanger combined with nanofluid is a promising innovation. The heat transfer improvement achieved a 12 % increase in the overall heat transfer coefficient by using TiO2/Water compared to Water. Moreover, a 1.03 performance index is obtained when CuO/Water nanofluid is used, a 66 horizontal parallel connecting of the polymer-based microchannel heat exchanger shows that the equipment can afford the same heat transfer performance of the metal-based microchannel heat exchanger in TiO2/Water nanofluid usage and implying a balance between heat transfer enhancement and energy consumption. |
| first_indexed | 2024-03-11T18:31:55Z |
| format | Article |
| id | doaj.art-65f486ef4c934adbbf7d01a6558f2cf1 |
| institution | Directory Open Access Journal |
| issn | 1026-9185 |
| language | English |
| last_indexed | 2024-03-11T18:31:55Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | South African Journal of Chemical Engineering |
| spelling | doaj.art-65f486ef4c934adbbf7d01a6558f2cf12023-10-13T11:03:32ZengElsevierSouth African Journal of Chemical Engineering1026-91852023-10-0146361375Enhancing performance of polymer-based microchannel heat exchanger with nanofluid: A computational fluid dynamics-artificial neural network approachChaiyanan Kamsuwan0Xiaolin Wang1Lee Poh Seng2Cheng Kai Xian3Ratchanon Piemjaiswang4Pornpote Piumsomboon5Kanit Manatura6Mongkol Kaewbumrung7Yotsakorn Pratumwal8Somboon Otarawanna9Benjapon Chalermsinsuwan10Fuels Research Center, Department of Chemical Technology, Faculty of Science, Chulalongkorn University, Bangkok 10330, ThailandSchool of Engineering, The Australian National University, Canberra, ACT 2601, AustraliaDepartment of Mechanical Engineering, Faculty of Engineering, National University of Singapore, 9 Engineering Drive 1, 117576, Republic of SingaporeDepartment of Mechanical Engineering, Faculty of Engineering, National University of Singapore, 9 Engineering Drive 1, 117576, Republic of SingaporeEnvironmental Research Institute, Chulalongkorn University, Bangkok 10330, ThailandFuels Research Center, Department of Chemical Technology, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand; Center of Excellence on Petrochemical and Materials Technology, Chulalongkorn University, Bangkok 10330, ThailandDepartment of Mechanical Engineering, Faculty of Engineering at Kamphaeng Saen, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom 73140, ThailandDepartment of Mechanical Engineering, Faculty of Engineering and Architecture, Rajamangala University of Technology Suvarnabhumi (Huntra Campus), Phranakhon Si Ayutthaya 13000, ThailandNational Metal and Materials Technology Center, National Science and Technology Development Agency, Pathum Thani 12120, ThailandNational Metal and Materials Technology Center, National Science and Technology Development Agency, Pathum Thani 12120, ThailandFuels Research Center, Department of Chemical Technology, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand; Center of Excellence on Petrochemical and Materials Technology, Chulalongkorn University, Bangkok 10330, Thailand; Advanced Computational Fluid Dynamics Research Unit, Chulalongkorn University, Bangkok 10330, Thailand; Corresponding author at: Fuels Research Center, Department of Chemical Technology, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.Polymer-based heat exchangers can offer a promising solution for environmental sustainability due to their low energy consumption. The incorporation of microchannels and nanofluids further enhances the heat transfer performance of these heat exchangersIn this study, a polymer-based microchannel heat exchanger combined with nanofluid is simulated through the integration of an artificial neural network predictive model and a three-dimensional computational fluid dynamics model. This study unveils an advanced calculation that integrates artificial intelligence and readily-available computational software provided as the advanced calculation system. A statistical mathematics response surface method which data is used for correlating the calculation model is applied to obtain the design parameters between operating conditions and for optimal performance. The optimized results reveal that polymer-based microchannel heat exchanger combined with nanofluid is a promising innovation. The heat transfer improvement achieved a 12 % increase in the overall heat transfer coefficient by using TiO2/Water compared to Water. Moreover, a 1.03 performance index is obtained when CuO/Water nanofluid is used, a 66 horizontal parallel connecting of the polymer-based microchannel heat exchanger shows that the equipment can afford the same heat transfer performance of the metal-based microchannel heat exchanger in TiO2/Water nanofluid usage and implying a balance between heat transfer enhancement and energy consumption.http://www.sciencedirect.com/science/article/pii/S1026918523000860Polymer-based microchannelHeat exchangerPerformance optimizationNanofluidComputational fluid dynamicsArtificial neural network |
| spellingShingle | Chaiyanan Kamsuwan Xiaolin Wang Lee Poh Seng Cheng Kai Xian Ratchanon Piemjaiswang Pornpote Piumsomboon Kanit Manatura Mongkol Kaewbumrung Yotsakorn Pratumwal Somboon Otarawanna Benjapon Chalermsinsuwan Enhancing performance of polymer-based microchannel heat exchanger with nanofluid: A computational fluid dynamics-artificial neural network approach South African Journal of Chemical Engineering Polymer-based microchannel Heat exchanger Performance optimization Nanofluid Computational fluid dynamics Artificial neural network |
| title | Enhancing performance of polymer-based microchannel heat exchanger with nanofluid: A computational fluid dynamics-artificial neural network approach |
| title_full | Enhancing performance of polymer-based microchannel heat exchanger with nanofluid: A computational fluid dynamics-artificial neural network approach |
| title_fullStr | Enhancing performance of polymer-based microchannel heat exchanger with nanofluid: A computational fluid dynamics-artificial neural network approach |
| title_full_unstemmed | Enhancing performance of polymer-based microchannel heat exchanger with nanofluid: A computational fluid dynamics-artificial neural network approach |
| title_short | Enhancing performance of polymer-based microchannel heat exchanger with nanofluid: A computational fluid dynamics-artificial neural network approach |
| title_sort | enhancing performance of polymer based microchannel heat exchanger with nanofluid a computational fluid dynamics artificial neural network approach |
| topic | Polymer-based microchannel Heat exchanger Performance optimization Nanofluid Computational fluid dynamics Artificial neural network |
| url | http://www.sciencedirect.com/science/article/pii/S1026918523000860 |
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