E3S Web Conf.
Volume 128, 2019XII International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT 2019)
|Number of page(s)||4|
|Published online||08 November 2019|
Experimental measurement and Numerical Simulation of Particle Deposition on super–hydrophobic surface
School of Chemistry and Chemical Engineering, South China University of Technology,
People’s Republic of China
2 Key laboratory of Enhanced Heat Transfer and Energy Conservation of Education Ministry, 510000, Guangzhou, People’s Republic of China
* Corresponding author: email@example.com
Airborne dust deposition on a large number of energy devices would cause serious efficiency and lifetime reduction, such as solar photovoltaic panels, heat exchanger surfaces and fan blades. Mechanicalor manual cleaning using water is still the main method of mitigating dust deposition damage on theserelated energy equipment, which is commonly expensive and frequent. As a kind of self-cleaningmaterial,super–hydrophobic coating may become a new effective way to mitigating the dust deposition issue. Super–hydrophobic coatings with low surface energy and unique micro-nano secondary structure can significantly reduce dust deposition rate. However, mechanism of dust deposition on super-hydrophobic surfaces remains unclear. Thus it is difficult to develop high performance self-cleaning coating. This paper aims to investigate dust deposition behaviors and mechanisms on super-hydrophobic surface by experimental measurement and numerical simulation. Lattice Boltzmann Method-Discrete Particle Method (LBM–DPM) will be developed to predict dust particle deposition process including settling, collision adhesion and rebound behaviors. The mechanisms and interactions between coating surface energy, particle characteristics, particle incident velocity and particle adhesion or rebound behavior will be studied carefully. The findings and results may be useful to guide the development of high performance self-cleaning super– hydrophobic coating.
© The Authors, published by EDP Sciences, 2019
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