A computational-fluid-dynamics model for particle-size evolution in the presence of turbulent mixing
Date
2023-09-05
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Elsevier Ltd.
Abstract
A computational model for the simulation of the particle-size evolution of
nanoparticles in mixing-controlled processes is presented. This model accounts
for the effect of molecular mixing on particle-size evolution when
mixing time scales are smaller than the phase-space time scales. The approach
is formulated by deriving evolution equations for the moments of joint
mixture fraction-size moments PDF, and closing such moment equations using
the conditional quadrature method of moments. A test case consisting
of a mixing-dependent aggregation problem in a multi-inlet vortex reactor
is considered. The results accounting for the correlation between mixture
fraction and size moments are compared against those computed neglecting
such correlation to demonstrate its impact on the model predictions. The
average particle volumes are different in the order of 104 mm3 at the reactor
exit under the studied conditions.
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Comments
This is a manuscript of the article Ilgun, Aziz D., Rodney O. Fox, Ehsan Madadi-Kandjani, and Alberto Passalacqua. "A Computational-Fluid-Dynamics Model for Particle-Size Evolution in the Presence of Turbulent Mixing." Chemical Engineering Science 279 (2023): 118961.
DOI:10.1016/j.ces.2023.118961.
Copyright 2023 Elsevier Ltd.
Posted with permission.