期刊
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW
卷 96, 期 -, 页码 56-69出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijmultiphaseflow.2017.07.002
关键词
Droplet impact; Surface roughness; Spreading diameter; Transition from spreading to splashing
类别
资金
- Science Challenge Project [TZ2016001]
- National Natural Science Foundation of China [91541107, 11572258, 91441203]
- Fundamental Research Funds for the Central Universities [3102017Ax006]
- Hong Kong RGC/GRF [PolyU 152217/14E, PolyU 152651/16E]
This paper reports an experimental investigation on the impact dynamics of droplets (water, decane, ethanol, and tetradecane) onto a flat stainless steel surface, using high-speed microphotography and with a particular interest in the effect of surface roughness on the impact dynamics. Results show that the impacting water droplet spreads on the surface in the form of a rim-bounded lamella and the rim contracts back after reaching the maximum spreading, while this contraction motion is absent for the fuel liquids. With the increase of Weber number (We) and surface roughness, splashing, evidenced by the ejection of secondary droplets, is favored. The droplet spreading, which is characterized by a normalized diameter beta, is accelerated with increasing We, while the surface roughness and Ohnesorge number (Oh) tend to slow down the spreading process. Furthermore, the maximum normalized spreading diameter, beta(max), depends primarily on the (We/Oh) and the increase in the surface roughness slightly reduces beta(max). The transition from spreading to splashing is enhanced with increasing We or R-a or both. An empirical correlation of beta(max) as a function of the surface roughness was derived based on the present experimental data. In addition, the transition from spreading to splashing can be represented by a critical (We/Oh)(1/2), which was fitted as a function of the surface roughness. All the proposed empirical correlations show good agreement with literature data and are believed to be of importance for the spray/wall interaction modelling. (C) 2017 Published by Elsevier Ltd.
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