Optimization design of helical micro fin tubes based on exergy destruction minimization principle
Optimization design of helical micro fin tubes based on exergy destruction minimization principle
复制标题
基于火用破坏最小化原理的螺旋微翅片管优化设计
DOI：
10.1016/j.applthermaleng.2021.117640
复制
发表时间：
2022-01
影响因子：
6.4
通讯作者：
W. Liu
中科院分区：
文献类型：
--
作者：
J.H. Xie;H.C. Cui;Z.C. Liu;W. Liu
螺旋微翅片管以其优良的加工性能和抗结垢性能，在各种双管换热器中得到了广泛的应用。进一步提高高频换热器的整体效率，降低能耗具有重要意义。本文采用数值模拟的方法，对高频换热器的换热和流动特性进行了研究。结果表明，高频换热管的强化换热因素是壁面附近产生的二次流和换热面积的增大。此外，还研究了几何参数对热工水力性能的影响。研究发现，微鳍高度(E)、螺旋角(φ)和启动次数(NS)对整体性能有显著影响，且三者之间存在很强的相互耦合关系。通过参数分析，认为微鳍高度低、启动次数多的高频FT是一种较好的几何型式。最后，为了在特定的工作条件下快速选择(或设计)高频晶体管，基于(火用)破坏最小化原则，利用人工神经网络和遗传算法对其几何参数进行了优化。用TOPSIS法从帕累托锋面选取最优解(e=0.23 mm，φ=0.36.1°，ns=0.66)。结果表明，最优解在传热和流体流动引起的火用破坏之间具有合理的平衡。此外，它还具有较好的热工水力性能(PEC=11.73)。这一工作填补了基于热力学第二定律的高频傅里叶变换的传热学和几何优化研究的空白，有力地证明了火用破坏最小化原理在周期模型和充分发展的湍流情况下仍然适用。我们希望它能为高频交易的结构设计做出贡献。
The helical micro fin tubes (HFT) are commonly used in various double pipe heat exchangers because of the excellent processing and anti-fouling performance. It is of great significance to further improve the overall efficiency of the HFT so as to diminish energy consumption. In this work, the heat transfer and flow characteristics of the HFT are studied by numerical simulation. The results show that the heat transfer enhancement factors of the HFT are the secondary flow generated near the wall and the increase of the heat exchange area. In addition, the effects of the geometrical parameters on thermal–hydraulic performance are studied atRe= 36,636. It is found that the micro fin height (e), the helical angle (φ), and the number of starts (Ns) have a significant impact on the overall performance, and there is a strong mutual coupling between them. According to the parametric analysis, the HFT with a low micro fin height and a large number of starts is considered to be a better geometrical type. Finally, in order to select (or design) the HFT quickly under the specific working conditions, based on the exergy destruction minimization principle, the geometrical parameters are optimized by using the artificial neural network and genetic algorithm. An optimal solution (e= 0.23 mm,φ= 36.1°, andNs= 66) is selected from the Pareto front by the TOPSIS method. The results indicate that the optimal solution has a sensible balance between the exergy destruction caused by heat transfer and fluid flow. Besides, it has a better thermal–hydraulic performance as well (PEC= 1.73). This work fills the gap of heat transfer and the geometrical optimization study of HFT based on the second law of thermodynamics and provides strong evidence that the exergy destruction minimization principle is still applicable in the case of the periodic model and fully developed turbulence. We hope that it will be contributed to the structural design of the HFT.
登录
查看更多内容
火用破坏最小化：对流传热强化的原理
DOI：
10.1016/j.ijheatmasstransfer.2018.01.048
发表时间：
2018-07
影响因子：
5.2
作者：
Wei Liu;Peng Liu;Junbo Wang;Nianben Zheng;Z. C. Liu
通讯作者：
Z. C. Liu
DOI：
10.1080/10255842.2010.518565
发表时间：
2011-01-01
影响因子：
1.6
作者：
Spiegel, Martin;Redel, Thomas;Karmonik, Christof
通讯作者：
Karmonik, Christof
影响因子：
6.4
作者：
M. Dastmalchi;G. Sheikhzadeh;A. Arefmanesh
通讯作者：
M. Dastmalchi;G. Sheikhzadeh;A. Arefmanesh
影响因子：
4.5
作者：
Juan I. Corcoles-Tendero;J. Belmonte;A. Molina;J. A. Almendros-Ibáñez
通讯作者：
Juan I. Corcoles-Tendero;J. Belmonte;A. Molina;J. A. Almendros-Ibáñez
影响因子：
3.6
作者：
K. Yoon
通讯作者：
K. Yoon