This textbook provides a comprehensive exploration of the lattice Boltzmann method (LBM) and its applications in nanoparticle modeling. It covers both single-phase and multiphase LBM methodologies in detail, followed by a section on case studies that apply these techniques. Chapter 1 discusses the fundamental concepts and significance of LBM, along with prior research relevant to nanoparticle modeling. Chapters 2 and 3 provide in-depth explanations of LBM methodologies for single-phase and multiphase fluids, respectively. Chapter 4 introduces various approaches for modeling nanoparticles. The application section extensively addresses the use of nanoparticle multiphase flow LBM simulation models, covering topics such as double emulsions, porous structures, inkjet printing, and the coffee ring effect. Chapter 5 aids understanding of multiphase flow LBM through the analysis of interfacial behavior in surfactant-covered double emulsions. Chapter 6 simulates multiphase flow within a gas diffusion layer composed of porous structures using multi-relaxation time LBM at high density ratios. Chapter 7 discusses contact line dynamics through droplet penetration phenomena in porous structures. Chapter 8 lays the groundwork for multiphase flow simulations that incorporate particle modeling through inkjet printing simulations. Finally, Chapters 9 and 10 analyze the adhesion patterns of nanoparticles during the evaporation of sessile droplets containing nanoparticles. Chapter 9 focuses on particle interactions using magnetic particles, while Chapter 10 examines how changes in contact angle affect nanoparticle adhesion patterns. This textbook aims to provide researchers and students with a deep understanding of nanoparticle dynamics using the LBM, contributing to advancements in simulation techniques in modern physics and engineering.
This textbook provides a comprehensive exploration of the lattice Boltzmann method (LBM) and its applications in nanoparticle modeling. It covers both single-phase and multiphase LBM methodologies in detail, followed by a section on case studies that apply these techniques. Chapter 1 discusses the fundamental concepts and significance of LBM, along with prior research relevant to nanoparticle modeling. Chapters 2 and 3 provide in-depth explanations of LBM methodologies for single-phase and multiphase fluids, respectively. Chapter 4 introduces various approaches for modeling nanoparticles. The application section extensively addresses the use of nanoparticle multiphase flow LBM simulation models, covering topics such as double emulsions, porous structures, inkjet printing, and the coffee ring effect. Chapter 5 aids understanding of multiphase flow LBM through the analysis of interfacial behavior in surfactant-covered double emulsions. Chapter 6 simulates multiphase flow within a gas diffusion layer composed of porous structures using multi-relaxation time LBM at high density ratios. Chapter 7 discusses contact line dynamics through droplet penetration phenomena in porous structures. Chapter 8 lays the groundwork for multiphase flow simulations that incorporate particle modeling through inkjet printing simulations. Finally, Chapters 9 and 10 analyze the adhesion patterns of nanoparticles during the evaporation of sessile droplets containing nanoparticles. Chapter 9 focuses on particle interactions using magnetic particles, while Chapter 10 examines how changes in contact angle affect nanoparticle adhesion patterns. This textbook aims to provide researchers and students with a deep understanding of nanoparticle dynamics using the LBM, contributing to advancements in simulation techniques in modern physics and engineering.
Hee Min Lee
Lattice Boltzmann Method Multiphase Flow Modeling Nanoparticle Dynamics Nanofluid Modeling Inkjet Printing Simulation Gas-Liquid Transport in Porous Media Particle Deposition Dynamics Magnetic Particle Simulations Semiconductor Packaging Renewable Energy Computational Fluid Dynamics (CFD) Parallel Computing in Lattice Boltzmann method Advanced Numerical Methods for Nanofluids Nanotechnology Applications Computational Physics