CIESC Journal ›› 2017, Vol. 68 ›› Issue (11): 4208-4220.doi: 10.11949/j.issn.0438-1157.20170399

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Simulation and analysis of surface morphology evolution during coating formation

ZHOU Fei, ZHANG Hui, XIAO Jie   

  1. Suzhou Key Laboratory of Green Chemical Engineering, School of Chemical and Environmental Engineering, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, Jiangsu, China
  • Received:2017-04-13 Revised:2017-07-30 Online:2017-11-05 Published:2017-07-31
  • Supported by:

    supported by the National Natural Science Foundation of China (21406148), the Natural Science Foundation of Jiangsu Province (BK20170062, BK20130293), the "Jiangsu ShuangChuang Program", the Jiangsu Specially-Appointed Professors Program and the Jiangsu PAPD.


Quantitative characterization of surface morphological evolution is critical for coating quality control. A hybrid MC-CFD (i.e., Monte Carlo coupled with computation fluid dynamics) method was developed to capture the complex coating formation process, which involves wet film formation through deposition of huge amount of droplets and the succeeding levelling process. The effects of the mean diameter, viscosity, density and surface tension of paint droplets on coating roughness evolution have been systematically and quantitatively explored. It was found that increasing mean drop diameter led to the increase of the initial surface roughness, hence increased levelling time; the increase of paint viscosity led to the increased initial and final surface roughness and hence increased levelling time; paint density had little influence on levelling time and final surface roughness; increasing surface tension of paint however led to the increase of levelling velocity and the decrease of levelling time, but had little effect on final coating roughness.

Key words: surface morphology, droplet deposition, levelling, Monte Carlo simulation, CFD, two-phase flow

CLC Number: 

  • TQ02

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