Multi-objective optimization on bionic fractal structure for heat exchanging of single fluids by genetic algorithm
文献类型：期刊论文
| 作者 | Yao ZK(姚子康); Pan LS(潘利生) ; Mu, Bai; Wei XL(魏小林)
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| 刊名 | INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
 |
| 出版日期 | 2024-12 |
| 卷号 | 110页码:109652 |
| 关键词 | Bionic fractal structure Thermo-hydraulic performance Heat transfer enhancement Genetic algorithm optimization Single-fluid cooling |
| ISSN号 | 0142-727X |
| DOI | 10.1016/j.ijheatfluidflow.2024.109652 |
| 英文摘要 | The 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%. |
| 分类号 | 二类 |
| WOS研究方向 | Thermodynamics ; Engineering ; Mechanics |
| 语种 | 英语 |
| WOS记录号 | WOS:001357445700001 |
| 资助机构 | National Natural Science Foun-dation of China {12372237] |
| 其他责任者 | Pan LS |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/97190]  |
| 专题 | 力学研究所_高温气体动力学国家重点实验室 |
| 作者单位 | 1.【Mu, Bai】 Beijing Univ Civil Engn & Architecture, Sch Environm & Energy Engn, Beijing 100044, Peoples R China 2.【Yao, Zikang & Pan, Lisheng & Wei, Xiaolin】 Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China 3.【Yao, Zikang & Pan, Lisheng & Wei, Xiaolin】 Chinese Acad Sci, State Key Lab High Temp Gas Dynam, Inst Mech, Beijing 100190, Peoples R China |
| 推荐引用方式 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. |
| 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. |
入库方式： OAI收割
来源：力学研究所
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