Open AccessElectrostatic formation of Liquid Marbles – Statistical model
Author(s) -
Peter M. Ireland,
Casey A. Thomas,
Benjamin T. Lobel,
Grant B. Webber,
Syuji Fujii
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1322/1/012006
Subject(s) - weibull distribution , scaling , monte carlo method , particle (ecology) , electric field , aggregate (composite) , statistical physics , mechanics , particle size , mass transfer , materials science , physics , chemistry , mathematics , geometry , statistics , nanotechnology , geology , oceanography , quantum mechanics
A statistical treatment is developed for the electrostatic transfer of particles from a powder bed to a pendent droplet during liquid marble and aggregate formation. The model uses Weibull statistics to calculate the probability of particle transfer events of a given size occurring, for the given electric field strength and geometry. This is used in Monte Carlo simulations of the transfer process. In this preliminary study, some of the most distinctive features of the experiments – transfer event size and spacing, scaling with driving potential – are well-captured using physically plausible parameter values. Other features, such as denuding of the particle bed, are less well reproduced, and require refinement.