传热
热交换器
小旋翼机
机械工程
雷诺数
板翅式换热器
微型热交换器
强化传热
流量(数学)
机械
热撒布器
材料科学
板式换热器
传热系数
工程类
湍流
复合材料
物理
共聚物
聚合物
作者
Hong Xu,Wenhui Yu,Yuan Zhang,Suli Ma,Zhiyuan Wu,Xiaohu Liu
出处
期刊:Applied Energy
[Elsevier BV]
日期:2023-09-02
卷期号:351: 121847-121847
被引量:31
标识
DOI:10.1016/j.apenergy.2023.121847
摘要
Efficient energy conversion technologies are essential for mitigating the environmental impact of industrial activities. The development and application of high-efficiency heat exchangers are key components in this endeavor. Heat exchangers based on triply periodic minimal surfaces (TPMS) are widely acknowledged for their exceptional thermal-hydraulic performance. However, current research mainly focuses on the design and optimization of heat exchangers with standard TPMS structures. In this study, a hybrid process is utilized to construct ten novel heat exchangers, followed by comprehensive investigations of their internal flow fields using three-dimensional numerical simulations. In order to establish a baseline, five standard TPMS structures are also introduced as reference cases. The results reveal that complex secondary flow distributions and velocity variations are critical factors influencing the thermal-hydraulic performance. Moreover, the influence of different standard TPMS cells on the flow and heat transfer characteristics varies during the hybridization process. Specifically, the inclusion of the Schwarz cell generally leads to an improvement in heat transfer, while the presence of the Lindinoid cell may result in a deterioration of heat transfer. The Diamond and Lindinoid cells have an adverse impact on the flow characteristics, while the Gyroid and Neovius cells enhance the flow characteristics. To evaluate the overall thermal-hydraulic performance of different channels, a comprehensive performance assessment is introduced. The Diamond channel and the Gyroid-Neovius channel show superior overall performance in their respective Reynolds number regions, with the former exhibiting better flow characteristics and the latter has outstanding heat transfer performance.
科研通智能强力驱动
Strongly Powered by AbleSci AI