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...

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Main Author: Farras Arira, Muhammad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/74050
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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
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