Coarse-grained computations of demixing in dense gas-fluidized beds

TL;DR

This paper introduces an equation-free, coarse-grained computational method to efficiently simulate the slow demixing process in dense gas-fluidized beds of dissimilar particles, where continuum models are lacking.

Contribution

It presents a novel application of equation-free techniques to accelerate molecular dynamics simulations of particle segregation in fluidized beds.

Findings

Successfully simulated demixing in dense beds

Demonstrated acceleration over traditional methods

Provided insights into slow segregation dynamics

Abstract

We use an "equation-free", coarse-grained computational approach to accelerate molecular dynamics-based computations of demixing (segregation) of dissimilar particles subject to an upward gas flow (gas-fluidized beds). We explore the coarse-grained dynamics of these phenomena in gently fluidized beds of solid mixtures of different densities, typically a slow process for which reasonable continuum models are currently unavailable.