On the methodologies for the assessment of the impact of parameters in acoustophoretic separation devices

2019/04/20 by Garofalo, Fabio
#Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)

paper · doi:10.48550/arxiv.1904.09976

Abstract

In this communication I reconcile the kinematic method illustrated by some authors~\citeyang2018,vitali2018 in studying the impact of system and suspension parameters on acoustophoretic separations with the statistical method formerly proposed by Garofalo~\citegarofalo2014,garofalo2014₂ and lately extended to particle populations by the same author~\citegarofalo2017,garofalo2018. The connection between these two methods is established by (i)~reinterpreting the kinematic method in terms of tangent space dynamics, and (ii)~transforming the dynamics in the tangent space into the dynamics of the area elements. The dynamics of the area elements is equivalent to the dynamics of the covariance matrix derived by moment analysis and associated with the dispersion problem during microparticle acoustophoresis. The similarities and the differences between the kinematic based method and the stochastic method proposed by the present auuthor are illustrated and discussed in the light of the numerical results for a prototypical model of acoustophoretic separation. \keywordsAcoustofl

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