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Ionic wind devices or electrostatic fluid accelerators are becoming ofincreasing interest as tools for thermal management, in particular forsemiconductor devices. In this work, we present a numerical model forpredicting the performance of such devices, whose main benefit is the abilityto accurately predict the amount of charge injected at the corona electrode.Our multiphysics numerical model consists of a highly nonlinear stronglycoupled set of PDEs including the Navier-Stokes equations for fluid flow,Poisson's equation for electrostatic potential, charge continuity and heattransfer equations. To solve this system we employ a staggered solutionalgorithm that generalizes Gummel's algorithm for charge transport insemiconductors. Predictions of our simulations are validated by comparison withexperimental measurements and are shown to closely match. Finally, oursimulation tool is used to estimate the effectiveness of the design of anelectrohydrodynamic cooling apparatus for power electronics applications.

Multiphysics simulation of corona discharge induced ionic wind