Semi-analytical model for the heat conduction resistance of a single spherical condensate droplet
Semi-analytical model for the heat conduction resistance of a single spherical condensate droplet
复制标题
单个球形凝结水滴热传导阻力的半解析模型
DOI:
10.1016/j.ijheatmasstransfer.2021.122419
复制
发表时间:
2022
影响因子:
5.2
通讯作者:
Jiao Long
中科院分区:
文献类型:
--
作者:
Dong Jian;Hu Guanghui;Zhao Yiping;Si Chao;Jiao Long
The evolution and heat transfer of a single spherical condensate droplet on a superhydrophobic surface (SHS) can be modeled by the droplet thermal resistance network. The calculation of the heat conduction resistance of a single spherical condensate droplet (R d) is a fundamental problem in analyzing the droplet thermal resistance network. Till now, the majority of researchers have used Kim's formula to calculate R d. However, the results from Kim's formula have errors above 85% compared to those from the CFD software (ANSYS Fluent). In this paper, we analyze the reason for inaccuracy of Kim's formula. Taking two-dimensional droplet heat conduction into consideration, we gain the theoretical temperature field function inside the condensate droplet by utilizing the conformal mapping. Basing on calculation of heat transfer rate through the droplet and ANSYS Fluent analysis, we put forward a new semi-analytical model to calculate R d. We verify and find that the results from our new model have errors less than 13% compared to those from ANSYS Fluent. It means that our new semi-analytical model is more accurate than Kim's formula. We calculate the R d proportion of the overall heat transfer resistance and find that the application of our model can obviously decrease heat transfer calculation errors for big droplets (r> 16 μ m) with large contact angles (θ> 120∘). The new semi-analytical model for the heat conduction resistance of a single spherical condensate droplet is promising in the sense that it might replace Kim's model to become a novel design criterion of enhanced heat transfer SHSs.
登录
查看更多内容
DOI:
10.1016/j.ijheatmasstransfer.2019.01.026
发表时间:
2019-05
影响因子:
5.2
作者:
Amir Ashrafi-Habibabadi;A. Moosavi
通讯作者:
Amir Ashrafi-Habibabadi;A. Moosavi
DOI:
10.1615/ihtc9.1520
发表时间:
1990
期刊:
--
影响因子:
--
作者:
Qi Zhao;Dongchang Zhang;Xiaobu Zhu;Dunqi Xu;Zaiqi Lin;Jifang Lin
通讯作者:
Qi Zhao;Dongchang Zhang;Xiaobu Zhu;Dunqi Xu;Zaiqi Lin;Jifang Lin
DOI:
10.1016/j.ijheatmasstransfer.2005.08.016
发表时间:
2006-02
影响因子:
5.2
作者:
S. Vemuri;K. Kim
通讯作者:
S. Vemuri;K. Kim
DOI:
10.1016/b978-0-12-404502-6.50010-x
发表时间:
1976
期刊:
--
影响因子:
--
作者:
J. Maa;W. Wu
通讯作者:
J. Maa;W. Wu
影响因子:
6.4
作者:
Yota Maeda;F. Lv;Peng Zhang;Y. Takata;D. Orejón
通讯作者:
Yota Maeda;F. Lv;Peng Zhang;Y. Takata;D. Orejón