Optimization of wavy fin‐and‐elliptical tube heat exchanger using CFD, multi‐objective genetic algorithm and radical basis function
This article presents an accurate and efficient optimization method for heat exchanger. The structure of the original heat exchanger was optimized by combining LHS sampling, CFD simulation, radical basis function, and multi‐objective optimization. Since the Colburn factor j and the friction factor f...
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| Vydané v: | Energy science & engineering Ročník 9; číslo 9; s. 1359 - 1372 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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London
John Wiley & Sons, Inc
01.09.2021
Wiley |
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| ISSN: | 2050-0505, 2050-0505 |
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| Abstract | This article presents an accurate and efficient optimization method for heat exchanger. The structure of the original heat exchanger was optimized by combining LHS sampling, CFD simulation, radical basis function, and multi‐objective optimization. Since the Colburn factor j and the friction factor f are a pair of conflicting goals, so the multi‐objective optimization is adopted. The optimization results showed that the Colburn factor j increased by 5.43% and the friction factor f decreased by 23.31%, indicating that the optimized structure had higher heat transfer efficiency and lower resistance performance. The heat transfer mechanism and optimization effect of heat exchanger are explained by using the field synergy principle, which provides a theoretical basis for the structural design optimization of heat exchanger.
This paper presents an accurate and efficient optimization method for heat exchanger. The structure of the original heat exchanger was optimized by combining LHS sampling, CFD simulation, radical basis function, and multi‐objective optimization. Since the Colburn factor j and the friction factor f are a pair of conflicting goals, so the multi‐objective optimization is adopted. The optimization results showed that the Colburn factor j increased by 5.43% and the friction factor f decreased by 23.31%, indicating that the optimized structure had higher heat transfer efficiency and lower resistance performance. The heat transfer mechanism and optimization effect of heat exchanger are explained by using the field synergy principle, which provides a theoretical basis for the structural design optimization of heat exchanger. |
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| AbstractList | This article presents an accurate and efficient optimization method for heat exchanger. The structure of the original heat exchanger was optimized by combining LHS sampling, CFD simulation, radical basis function, and multi‐objective optimization. Since the Colburn factor j and the friction factor f are a pair of conflicting goals, so the multi‐objective optimization is adopted. The optimization results showed that the Colburn factor j increased by 5.43% and the friction factor f decreased by 23.31%, indicating that the optimized structure had higher heat transfer efficiency and lower resistance performance. The heat transfer mechanism and optimization effect of heat exchanger are explained by using the field synergy principle, which provides a theoretical basis for the structural design optimization of heat exchanger.
This paper presents an accurate and efficient optimization method for heat exchanger. The structure of the original heat exchanger was optimized by combining LHS sampling, CFD simulation, radical basis function, and multi‐objective optimization. Since the Colburn factor j and the friction factor f are a pair of conflicting goals, so the multi‐objective optimization is adopted. The optimization results showed that the Colburn factor j increased by 5.43% and the friction factor f decreased by 23.31%, indicating that the optimized structure had higher heat transfer efficiency and lower resistance performance. The heat transfer mechanism and optimization effect of heat exchanger are explained by using the field synergy principle, which provides a theoretical basis for the structural design optimization of heat exchanger. This article presents an accurate and efficient optimization method for heat exchanger. The structure of the original heat exchanger was optimized by combining LHS sampling, CFD simulation, radical basis function, and multi‐objective optimization. Since the Colburn factor j and the friction factor f are a pair of conflicting goals, so the multi‐objective optimization is adopted. The optimization results showed that the Colburn factor j increased by 5.43% and the friction factor f decreased by 23.31%, indicating that the optimized structure had higher heat transfer efficiency and lower resistance performance. The heat transfer mechanism and optimization effect of heat exchanger are explained by using the field synergy principle, which provides a theoretical basis for the structural design optimization of heat exchanger. Abstract This article presents an accurate and efficient optimization method for heat exchanger. The structure of the original heat exchanger was optimized by combining LHS sampling, CFD simulation, radical basis function, and multi‐objective optimization. Since the Colburn factor j and the friction factor f are a pair of conflicting goals, so the multi‐objective optimization is adopted. The optimization results showed that the Colburn factor j increased by 5.43% and the friction factor f decreased by 23.31%, indicating that the optimized structure had higher heat transfer efficiency and lower resistance performance. The heat transfer mechanism and optimization effect of heat exchanger are explained by using the field synergy principle, which provides a theoretical basis for the structural design optimization of heat exchanger. |
| Author | Shao, Mingzhen Yu, Chao Wang, Renhao Shi, Kui Zhang, Lei Xue, Xiangyao |
| Author_xml | – sequence: 1 givenname: Chao orcidid: 0000-0002-1768-239X surname: Yu fullname: Yu, Chao email: yuchao@ciomp.ac.cn organization: Chinese Academy of Sciences – sequence: 2 givenname: Xiangyao surname: Xue fullname: Xue, Xiangyao organization: Chinese Academy of Sciences – sequence: 3 givenname: Kui surname: Shi fullname: Shi, Kui organization: Chinese Academy of Sciences – sequence: 4 givenname: Renhao surname: Wang fullname: Wang, Renhao organization: Military Representative Office of Rocket Equipment Department in Harbin – sequence: 5 givenname: Lei surname: Zhang fullname: Zhang, Lei organization: Chinese Academy of Sciences – sequence: 6 givenname: Mingzhen surname: Shao fullname: Shao, Mingzhen organization: Chinese Academy of Sciences |
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| Cites_doi | 10.1016/j.ijheatfluidflow.2007.02.001 10.1016/j.icheatmasstransfer.2011.11.009 10.1080/01457632.2016.1200382 10.1007/s11434-010-3009-7 10.1016/S0017-9310(01)00081-3 10.1016/j.applthermaleng.2016.09.120 10.1016/j.ijheatmasstransfer.2011.01.017 10.1016/j.apenergy.2015.07.065 10.1016/j.applthermaleng.2014.05.027 10.1080/089161599269825 10.1115/1.4027728 10.1016/j.ijrefrig.2018.11.038 10.1177/1687814018803984 10.1016/j.ijheatmasstransfer.2004.11.007 10.3390/pr9010009 10.1016/j.ijheatmasstransfer.2016.04.039 10.1016/S0894-1777(96)00056-8 10.1016/j.ijheatmasstransfer.2016.04.081 10.1016/j.ijheatmasstransfer.2016.05.022 10.1016/S0140-7007(99)00031-6 10.1080/01457632.2011.589312 10.1016/j.ijheatmasstransfer.2003.08.015 |
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| Copyright | 2021 The Authors. Energy Science & Engineering published by Society of Chemical Industry and John Wiley & Sons Ltd. 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| SubjectTerms | Accuracy Aluminum Basis functions Boundary conditions CFD Computational fluid dynamics Design optimization field synergy Finite volume method Flow velocity Friction Friction factor Genetic algorithms Heat conductivity Heat exchangers Heat transfer multi‐objective optimization Optimization Physical properties Reynolds number Simulation Structural design Structural engineering tube heat exchanger Tube heat exchangers Wavy fins |
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| Title | Optimization of wavy fin‐and‐elliptical tube heat exchanger using CFD, multi‐objective genetic algorithm and radical basis function |
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