LATTICE BOLTZMANN METHOD FOR MULTICOMPONENT FLOW
The lattice Boltzmann method (LBM) is a powerful computational technique for simulating fluid flow. Originally developed as a lattice gas model, the LBM has evolved over the years and gained popularity due to its simplicity, efficiency, and ability to handle complex fluid dynamics. While initiall...
Saved in:
Main Author: | |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/74050 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
id |
id-itb.:74050 |
---|---|
spelling |
id-itb.:740502023-06-26T10:43:50ZLATTICE BOLTZMANN METHOD FOR MULTICOMPONENT FLOW Farras Arira, Muhammad Indonesia Final Project Lattice Boltzmann method (LBM) INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/74050 The lattice Boltzmann method (LBM) is a powerful computational technique for simulating fluid flow. Originally developed as a lattice gas model, the LBM has evolved over the years and gained popularity due to its simplicity, efficiency, and ability to handle complex fluid dynamics. While initially focused on single-component flows, the study of multicomponent flows using the LBM has become increasingly important in various fields. Previous extensions of the LBM for multicomponent flows relied on the Fick’s diffusion model, but a more general approach based on the Maxwell-Stefan theory has recently been proposed. This thesis focuses on the development and validation of an LBM solver for simulating multicomponent flow based on the method proposed by Sawant et al. in 2021. The solver incorporates a new kinetic model for Stefan-Maxwell diffusion and implements a compressible LBM model. Three test cases were considered to validate the solver: turbulent flow, compressible flow, and ternary gas diffusion. The validation process involved comparing the simulation results with analytical solutions and numerical simulations from established methods. The results of the validation process demonstrated a strong agreement between the developed LBM solver and the reference data. The solver accurately captured the behavior of flows in the test cases, indicating its capability to simulate multicomponent flows in different scenarios. However, further investigation and validation are required for more general flow conditions. Overall, the developed solver presents a valuable tool for studying and analyzing multicomponent flows using the lattice Boltzmann method. text |
institution |
Institut Teknologi Bandung |
building |
Institut Teknologi Bandung Library |
continent |
Asia |
country |
Indonesia Indonesia |
content_provider |
Institut Teknologi Bandung |
collection |
Digital ITB |
language |
Indonesia |
description |
The lattice Boltzmann method (LBM) is a powerful computational technique for
simulating fluid flow. Originally developed as a lattice gas model, the LBM has evolved
over the years and gained popularity due to its simplicity, efficiency, and ability to
handle complex fluid dynamics. While initially focused on single-component flows, the
study of multicomponent flows using the LBM has become increasingly important in
various fields. Previous extensions of the LBM for multicomponent flows relied on
the Fick’s diffusion model, but a more general approach based on the Maxwell-Stefan
theory has recently been proposed.
This thesis focuses on the development and validation of an LBM solver for simulating
multicomponent flow based on the method proposed by Sawant et al. in 2021. The
solver incorporates a new kinetic model for Stefan-Maxwell diffusion and implements
a compressible LBM model. Three test cases were considered to validate the solver:
turbulent flow, compressible flow, and ternary gas diffusion. The validation process
involved comparing the simulation results with analytical solutions and numerical
simulations from established methods.
The results of the validation process demonstrated a strong agreement between
the developed LBM solver and the reference data. The solver accurately captured the
behavior of flows in the test cases, indicating its capability to simulate multicomponent
flows in different scenarios. However, further investigation and validation are required
for more general flow conditions. Overall, the developed solver presents a valuable tool
for studying and analyzing multicomponent flows using the lattice Boltzmann method. |
format |
Final Project |
author |
Farras Arira, Muhammad |
spellingShingle |
Farras Arira, Muhammad LATTICE BOLTZMANN METHOD FOR MULTICOMPONENT FLOW |
author_facet |
Farras Arira, Muhammad |
author_sort |
Farras Arira, Muhammad |
title |
LATTICE BOLTZMANN METHOD FOR MULTICOMPONENT FLOW |
title_short |
LATTICE BOLTZMANN METHOD FOR MULTICOMPONENT FLOW |
title_full |
LATTICE BOLTZMANN METHOD FOR MULTICOMPONENT FLOW |
title_fullStr |
LATTICE BOLTZMANN METHOD FOR MULTICOMPONENT FLOW |
title_full_unstemmed |
LATTICE BOLTZMANN METHOD FOR MULTICOMPONENT FLOW |
title_sort |
lattice boltzmann method for multicomponent flow |
url |
https://digilib.itb.ac.id/gdl/view/74050 |
_version_ |
1822993522038407168 |