IMECH-IR  > 高温气体动力学国家重点实验室
Multi-objective optimization on bionic fractal structure for heat exchanging of single fluids by genetic algorithm
Yao ZK(姚子康); Pan LS(潘利生); Mu, Bai; Wei XL(魏小林)
Source PublicationINTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
2024-12
Volume110Pages:109652
ISSN0142-727X
AbstractThe heat transfer process using a single-fluid cooling wall is widely used in various fields, including highperformance computers, solar panels, automotive power supplies, and aerospace engine protection. In high heat flux environments, thermal management has become a significant challenge, and enhancing heat transfer is crucial for effective thermal management. Although parallel microchannel heat transfer structures are a current research focus due to their compact structure and easy manufacturing, their uneven flow distribution is a key constraint hindering further development. Bionic fractal heat transfer structures have gained widespread attention due to their favorable flow uniformity, high efficiency, and low energy consumption. Currently, the structural design of biomimetic fractal heat transfer structures mostly employs Murray's law and its derived parameters. A thermal design program suitable for variable flow rate and physical properties is proposed and a model for a single fluid biomimetic fractal heat transfer structure is established. The heat transfer characteristics of fractal heat transfer structures were explained using supercritical CO2 as a heat transfer medium. The study comprehensively analyzed the influence of different design parameters of single-fluid biomimetic fractal heat transfer structures on heat transfer performance and provided a method for optimizing their design. The results showed that there exists an optimal value for heat transfer performance indicators under different structural design parameters. Genetic algorithms are applied to multi-objective optimize the structural parameters of biomimetic fractal heat transfer structures and the performance indicator is improved by 21.6%.
KeywordBionic fractal structure Thermo-hydraulic performance Heat transfer enhancement Genetic algorithm optimization Single-fluid cooling
DOI10.1016/j.ijheatfluidflow.2024.109652
Indexed BySCI ; EI
Language英语
WOS IDWOS:001357445700001
WOS Research AreaThermodynamics ; Engineering ; Mechanics
WOS SubjectThermodynamics ; Engineering, Mechanical ; Mechanics
Funding OrganizationNational Natural Science Foun-dation of China {12372237]
Classification二类
Ranking1
ContributorPan LS
Citation statistics
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/97190
Collection高温气体动力学国家重点实验室
Affiliation1.【Yao, Zikang & Pan, Lisheng & Wei, Xiaolin】 Chinese Acad Sci, State Key Lab High Temp Gas Dynam, Inst Mech, Beijing 100190, Peoples R China
2.【Yao, Zikang & Pan, Lisheng & Wei, Xiaolin】 Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
3.【Mu, Bai】 Beijing Univ Civil Engn & Architecture, Sch Environm & Energy Engn, Beijing 100044, Peoples R China
Recommended Citation
GB/T 7714
Yao ZK,Pan LS,Mu, Bai,et al. Multi-objective optimization on bionic fractal structure for heat exchanging of single fluids by genetic algorithm[J]. INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW,2024,110:109652.Rp_Au:Pan LS
APA 姚子康,潘利生,Mu, Bai,&魏小林.(2024).Multi-objective optimization on bionic fractal structure for heat exchanging of single fluids by genetic algorithm.INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW,110,109652.
MLA 姚子康,et al."Multi-objective optimization on bionic fractal structure for heat exchanging of single fluids by genetic algorithm".INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW 110(2024):109652.
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