Science & Technology Review
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2017, 35(2): 87-91
• Articles •
Research of droplet impact on super hydrophobic surface based on an improved stress algorithm of SPH method
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WANG Zhichao, NIU Jiao
Affiliations
Published: 2017-01-28
doi: 10.3981/j.issn.1000-7857.2017.02.012
Outline
The compressive stress in the Van der Waals state equation is coupled into the SPH model to simulate the droplet's surface tension. To improve model's stress stability, the tensile stress and compressive stresses are calculated, respectively with a modified Quintic kernel function and a Bell-Shaped kernel function. The model is verified by simulating the droplet impact on super hydrophobic surface, and the numerical result is in good agreement with experiment data. Furthermore, the solid surface's frictional stress and its effective region are analyzed. It is shown that, when the wall relative infiltration diameter φ<1, the effect of the solid surface viscosity υ' on the droplet's spreading is not significant. When φ≥1, under the same condition, the droplet spreading velocity and φmax (maximum φ) will decrease with the increase of υ'. During the spreading process φ≥1 is the main effective region of the frictional stress. The time taken to achieve the φmax at different υ' sees very small change, so υ' has little influence on the spreading time. Under the same solid boundary condition, the frictional stress of the spreading droplet will increase with the increase of the impact velocity ν0. The relation between υ' and ν0 is roughly in a parabola.
SPH
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tension instability
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kernel function
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droplet impact
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super-hydrophobic surface
王志超, 牛娇.
基于SPH应力修正算法的液滴撞击超疏水壁面模拟分析.
科技导报,
2017
, 35
(2)
: 87
-91
.
DOI: 10.3981/j.issn.1000-7857.2017.02.012
WANG Zhichao, NIU Jiao.
Research of droplet impact on super hydrophobic surface based on an improved stress algorithm of SPH method[J].
Science & Technology Review,
2017
, 35
(2)
: 87
-91
.
DOI: 10.3981/j.issn.1000-7857.2017.02.012
Year 2017 volume 35 Issue 2
PDF
409
87
Cite this Article
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Article Info
doi: 10.3981/j.issn.1000-7857.2017.02.012
- Receive Date:2016-02-23
- Online Date:2017-02-16
- Published:2017-01-28