A combined approach of Lattice Boltzmann Method and Maxwell-Stefan equation for modeling multi-component diffusion in solid oxide fuel cell
Ju'an Huang, Cheng Bao, Zeyi Jiang, Xinxin Zhang

TL;DR
This paper introduces a novel Lattice Boltzmann model coupled with the Maxwell-Stefan equation for accurately simulating multi-component diffusion in solid oxide fuel cells, overcoming previous model limitations and aligning well with experimental data.
Contribution
A new Lattice Boltzmann model is developed that couples with the Maxwell-Stefan equation, reducing errors and limitations of previous models for multi-component diffusion.
Findings
The model accurately predicts H2-H2O-Ar mass transport in SOFC anodes.
It shows better consistency with experimental measurements than previous models.
The approach avoids compressible errors and relaxes velocity and viscosity constraints.
Abstract
Lattice Boltzmann models provide better understanding with mesoscopic eyesight on multi-component diffusion than macroscopic models. Based on the kinetic theory and starting from the He-Luo model, the state-of-the-art multi-component diffusion Lattice Boltzmann models have defects of the compressible error and the limitations for velocity and viscosity settings in lattice units. With these respects, a new Lattice Boltzmann model is presented based on the advection-diffusion equation and is coupled with the Maxwell-Stefan equation by relaxation time. Without introducing the pressure term into the advection-diffusion equation, the model avoids the compressible error. Furthermore, the velocities for components are calculated in the Maxwell-Stefan equation and not contained in the equilibrium distribution function, the limitations of the velocity and viscosity settings in lattice units for…
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Taxonomy
TopicsLattice Boltzmann Simulation Studies · Nanofluid Flow and Heat Transfer · Phase Change Materials Research
