Multi-objective optimization on bionic fractal structure for heat exchanging of two fluids by genetic algorithm | |
Pan LS(潘利生)![]() ![]() ![]() | |
Source Publication | INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
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2023-09-15 | |
Volume | 212Pages:124298 |
ISSN | 0017-9310 |
Abstract | Numerous industrial processes involve heat exchange, and the efficiency of energy usage depends heavily on the effectiveness of this exchange. Thermal structure is a critical factor that influences the process of heat transfer. The bionic fractal structure has been heavily researched due to its ability to provide a more uniform flow distribution and improved heat transfer performance. An iterative approach to determining the central wall temperature is suggested for heat transfer between two fluids with varying mass flow rates and physical features. A bionic fractal heat transfer model for two fluids was developed, and the features of the bionic fractal heat transfer structure with supercritical carbon dioxide (supercritical CO2) and H2O were expounded. Furthermore, the variation of heat transfer performance with parameters was analyzed comprehensively. A method for the optimization and design of a bionic fractal heat transfer structure using two fluids was also provided, and the index of heat transfer performance was found to have the best value for various structural factors. The multi-objective optimizations of the bionic fractal heat transfer structure were carried out by a genetic algorithm, and the results showed a 15% reduction in power consumption for the optimized heat transfer structure, a 2.4% increase in heat transfer, and an improvement in the index of heat transfer performance by 17%.(c) 2023 Elsevier Ltd. All rights reserved. |
Keyword | Bionic fractal structure Thermo-hydraulic performance Heat transfer enhancement Genetic algorithm optimization |
DOI | 10.1016/j.ijheatmasstransfer.2023.124298 |
Indexed By | SCI ; EI |
Language | 英语 |
WOS ID | WOS:001008680400001 |
WOS Research Area | Thermodynamics ; Engineering, Mechanical ; Mechanics |
Funding Organization | National Natural Science Founda-tion of China [51776215] |
Classification | 一类 |
Ranking | 1 |
Contributor | Pan, LS (corresponding author), Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China. |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://dspace.imech.ac.cn/handle/311007/92392 |
Collection | 高温气体动力学国家重点实验室 |
Affiliation | 1.{Pan Lisheng, Yao Zikang, Yao Wei, Wei Xiaolin} Chinese Acad Sci Inst Mech State Key Lab High Temp Gas Dynam Beijing 100190 Peoples R China 2.{Pan Lisheng, Yao Zikang, Yao Wei, Wei Xiaolin} Univ Chinese Acad Sci Sch Engn Sci Beijing 100049 Peoples R China |
Recommended Citation GB/T 7714 | Pan LS,Yao ZK,Yao W,et al. Multi-objective optimization on bionic fractal structure for heat exchanging of two fluids by genetic algorithm[J]. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER,2023,212:124298.Rp_Au:Pan, LS (corresponding author), Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China. |
APA | 潘利生,姚子康,姚卫,&魏小林.(2023).Multi-objective optimization on bionic fractal structure for heat exchanging of two fluids by genetic algorithm.INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER,212,124298. |
MLA | 潘利生,et al."Multi-objective optimization on bionic fractal structure for heat exchanging of two fluids by genetic algorithm".INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 212(2023):124298. |
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