Issue |
E3S Web Conf.
Volume 128, 2019
XII International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT 2019)
|
|
---|---|---|
Article Number | 07003 | |
Number of page(s) | 6 | |
Section | Internal Flow and Heat Transfer | |
DOI | https://doi.org/10.1051/e3sconf/201912807003 | |
Published online | 08 November 2019 |
Behavior of condensed droplets growth and jumping on superhydrophobic surface
1
Key Laboratory for Thermal Science and Power Engineering of the Ministry of Education Department of Energy and Power Engineering, Tsinghua University,
Beijing,
100084,
China
2
School of Aeronautic Science and Engineering, Beihang University,
Beijing,
100191,
China
* Corresponding author: wuxiaomin@mail.tsinghua.edu.cn
Droplets on the superhydrophobic surface can fall off the surface spontaneously, which greatly promote dropwise condensation. This study considers a continuous droplet condensation process including droplet growth and droplet jumping. A droplet growth model considered NCG is developed and droplet jumping is simulated using VOF (Volume Of Fluid) model. Al–based superhydrophobic surfaces are prepared using chemical deposition and etching method. The Al-based superhydrophobic surface has a contact angle of 157°±1° and a rolling angle of 2°±1°. An observation experiment is designed to observe droplet jumping on superhydrophobic surface using a high– speed camera system. The result of droplet growth model shows a good match with experimental data in mid-term of droplet growth. Fordroplet jumping, simulation and experiment results show that droplet jumping of different diameter hasa universality in a non–dimensional form. The jumping process can be divided into 3 stages and droplet vibration is observed.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.