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Modeling and Simulation of Microreactors

Microreactors are developed for a variety of different purposes, specifically for applications that require high heat- and mass-transfer coefficients and well-defined flow patterns. The spectrum of applications includes gas and liquid flow as well as gas/liquid or liquid/liquid multiphase flow. The variety and complexity of flow phenomena clearly poses major challenges to the modeling approaches, especially when additional effects such as mass transfer and chemical kinetics have to be taken into account. However, there is one aspect that makes the modeling of microreactors in some sense much simpler than that of macroscopic equipment the laminarity of the flow. Typically, in macroscopic reactors the conditions are such that a turbulent flow pattern develops, thus making the use of turbulence models [1] necessary. With turbulence models the stochastic velocity fluctuations below the scale of grid resolution are accounted for in an effective manner, without the need to explicitly model the time evolution of these fine details of the flow field. Heat- and mass-transfer processes strongly depend on the turbulent velocity fluctuations, for this reason the accuracy of the turbulence model is of paramount importance for a reliable prediction of reactor performance. However, to the [Pg.25]

Copyright 2007 WILEY-VCH Verlag GmbH Co. KGaA, Weinheim [Pg.25]

When comparing processes in microreactors with those in conventional systems, a few general differences can be identified  [Pg.26]

The standard convection-diffusion equations rely on the assumption of local thermal equilibrium. For gas flow, this means that a Maxwell-Boltzmann distribution is assumed for the velocity of the particles in the frame-of-reference comoving with the fluid. When gas flow in microreactors at high temperature or low pressure is considered, this assumption may break down. The principle quantity determining the flow regime of gases and deviations from the standard continuum description is the Knudsen number, defined as [Pg.27]

Based on the Knudsen number, four different flow regimes can be distinguished [2]  [Pg.27]


Hardt, S. (2007) Modeling and simulation of microreactors, in Modeling of ITocess Intensification (ed. F.J. Keil), Wiley-VCH Verlag, Weinheim, Ch. 3, p. 25. [Pg.256]


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