(410i) Low-Dimensional Modeling of Reactions and Transport in Stratified Microflows | AIChE

(410i) Low-Dimensional Modeling of Reactions and Transport in Stratified Microflows

Authors 

Picardo, J. R. - Presenter, Indian Institute of Technology Madras
Pushpavanam, S. - Presenter, Indian Institute of Technology, Madras

Abstract

Stratified
two-phase flow through microchannels has found a myriad of applications in
micro-scale chemical processing and separations. These include solvent
extraction (including extraction of biomolecules), treatment of toxic
industrial streams and phase transfer catalysis. Mathematical models of these
systems must describe transverse inter-fluid mass transfer and interfacial and
bulk phase reactions, while accounting for the effects of a varying velocity
profile and different phase holdups. Typically these models are composed of two
partial differential equations of the convection-reaction-diffusion type- one
for each phase. These models are computationally inefficient for carrying out
optimization, control and parametric studies. To overcome these challenges, we
rigorously average the equations by taking advantage of the separation of the
time scales of transverse diffusion and axial convection.

The
Lyapunov-Schmidt (LS) technique is applied to develop low dimensional models,
based on Center (Slow) Manifold Theory, that describe the evolution of the
transverse-average species concentration along the length of the channel. Two
different models are derived. The first, called the one equation averaged (OEA)
model, is based on averaging across both fluids. This model is a relatively
direct application of LS reduction. However, it is unable to capture the mass
transfer between the fluids near the channels inlet, where the two liquid first
meet. The second model, called the two equation averaged (TEA) model, is
developed to overcome this limitation. Here, the LS reduction is applied in a
novel manner to average across each fluid separately. The TEA model is able to
capture the behavior of the system accurately at low values of the Damkohler
number and up to moderate values of the transverse Peclet number. We apply the
TEA model to analyze solvent extraction, reactive extraction and a two-phase system
with competitive-consecutive reactions.

Keywords: averaging, order reduction,
extraction, stratified flow, microchannels

Fig 1. Comparison of the TEA and OEA models with the full
PDE model for a case of reactive extraction. p: transverse Peclet
number, Da: Damkohler number.