Related Experiment Video
Updated: Aug 9, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
Published on: April 12, 2019
Fugacity-based lattice Boltzmann method for multicomponent multiphase systems
Muzammil Soomro1, Luis F Ayala1, Cheng Peng2
1Department of Energy and Mineral Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
This study introduces a new fugacity-based free-energy lattice Boltzmann model for simulating multicomponent multiphase fluids. The model accurately predicts vapor-liquid equilibrium and phase behavior for partially miscible mixtures.
Area of Science:
- Computational fluid dynamics
- Thermodynamics
- Chemical engineering
Background:
- Lattice Boltzmann methods (LBM) are extended to multiphase systems using free-energy models.
- Existing models struggle with multicomponent fluids, partial miscibility, and generalization with equations of state.
- A need exists for versatile models simulating complex fluid mixtures.
Purpose of the Study:
- Introduce a novel free-energy lattice Boltzmann model for multicomponent multiphase flows.
- Incorporate fugacity for accurate thermodynamic property calculations.
- Generalize the model for compatibility with any multicomponent equation of state.
Main Methods:
- Developed a free-energy lattice Boltzmann model.
- Utilized fugacity as the forcing term, linking partial pressure and chemical potential.
- Validated with vapor-liquid equilibrium simulations for two- and three-component mixtures.
Main Results:
- The fugacity-based model accurately reproduces phase densities and compositions.
- Successfully simulated characteristic pressure-composition and temperature-composition envelopes.
- Demonstrated reliable predictions under both equilibrium and dynamic conditions.
Conclusions:
- The fugacity-based lattice Boltzmann method offers a versatile approach for multicomponent multiphase fluid simulations.
- The model's ability to integrate with various equations of state enhances its applicability.
- This method provides accurate predictions for complex fluid systems.
More Related Videos
06:37Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
Published on: September 17, 2021
10:36Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
Published on: November 3, 2023
Related Concept Videos
Maxwell-Boltzmann Distribution: Problem Solving
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
The Born-Haber Cycle
Distribution of Molecular Speeds
Trends in Lattice Energy: Ion Size and Charge
Chemical Equilibria: Systematic Approach to Equilibrium Calculations
The first step is to identify all the chemical reactions involved, The...
Van der Waals Equation
First, the attractive forces between molecules, which are stronger at higher densities and reduce the pressure, are considered by adding to the pressure a term equal to the square of the molar density multiplied by a positive coefficient a. Second, the volume...