Table of Contents: Flowing Matter.

Flowing Matter.

Bibliographic Details
Main Author:	Toschi, Federico.
Other Authors:	Sega, Marcello.
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing AG, 2019.
Edition:	1st ed.
Series:	Soft and Biological Matter Series
Subjects:	Electronic books.
Online Access:	Click to View

Table of Contents:

Intro
Preface
Contents
1 Numerical Approaches to Complex Fluids
1.1 Introduction to Complex Fluids and Rheology
1.2 Macroscopic Approaches
1.2.1 Eulerian/Eulerian Methods
Inelastic Shear-Thinning/Thickening Fluids
Viscoelastic Fluids
Plastic Effects
Fluid-Structure Interaction
1.3 Microscopic Approaches
1.3.1 Eulerian/Lagrangian Methods
Immersed Boundary Methods for Suspensions of Rigid Particles
Front-Tracking Methods for Suspensions of Deformable Droplets
1.3.2 Eulerian/Eulerian Methods
Volume of Fluids
Level-Set Method
Phase-Field Methods
1.3.3 Other Approaches
1.4 Conclusions
References
2 Basic Concepts of Stokes Flows
2.1 Introduction
2.2 Navier-Stokes and Stokes Equations
2.2.1 Navier-Stokes Equations
2.2.2 Stokes Flows
2.3 Reversibility of Fluid Flows
2.3.1 Examples of Reversibility
2.3.2 Irreversible Trajectories in Stokes Flow
2.4 Minimum Energy Dissipation Theorem
2.4.1 Statement
2.4.2 An Application of the Minimum Energy Dissipation Theorem
2.5 Limits of the Stokes Approximation
2.5.1 Example of a System Where the Stokes Approximation Does Not Work
Other Linear Flow Equations
2.5.2 Departures from Reversibility Caused by Inertia
2.5.3 Accelerating Fluid Example
2.6 Conclusions
References
3 Mesoscopic Approach to Nematic Fluids
3.1 Introduction to Nematic Fluids
3.2 Nematic Order Parameters
3.3 Landau-de Gennes Free Energy Approach
3.3.1 Landau Theory of Nematic Phase Transition
3.3.2 Elastic Free Energy
3.3.3 Surface Anchoring
3.3.4 Electric Field Effects
3.3.5 Magnetic Field Effects
3.4 Topological Defects
3.4.1 Umbilic Defects
3.4.2 Basics of Topological Theory of Defects
3.5 Nematodynamics
3.5.1 Ericksen Stress Tensor
3.5.2 Ericksen-Leslie-Parodi Approach.
3.5.3 Beris-Edwards Model
3.5.4 Qian-Sheng Model
3.5.5 Towards Active Nematics
3.6 Nematic Microfluidics
3.6.1 Nematic Flows in Channels
3.6.2 Nematic Microfluidic Junctions
3.6.3 Colloidal Particles in Nematic Microfluidic Environment
3.7 Nematic Colloids
3.7.1 Single Spherical Particle
3.7.2 Interparticle Interactions
3.7.3 Assembly and Self-assembly of Colloidal Structures
3.7.4 Complex-Shaped and Topological Colloids
3.8 Conclusions
References
4 Amphiphilic Janus Particles at Interfaces
Acronyms
4.1 Introduction
4.2 Short History of Asymmetric Janus Particles
4.3 General Synthetic Routes
4.3.1 Masking and Asymmetric Modification
4.3.2 Seeded Emulsion Polymerisation and Phase Separation
4.3.3 Microfluidic and Capillary Electro-Jetting Methods
4.3.4 Polymer Co-precipitation and Phase Separation
4.4 Tuning the Surface Polarity in JPs
4.5 Interfacial Activity and Adsorption at Interfaces
4.5.1 Contact Angle and Interfacial Adsorption Energies of HPs vs. JPs
4.5.2 Inter-Particle Interaction at Interfaces vs. Lowering the Interfacial Tension
4.5.3 Activation and Adsorption Energies of JPs Spontaneously Adsorbing at Interfaces
4.6 Pickering Emulsions: Arrested JPs at Interfaces
4.7 Self-Assembly of Janus Particles
4.8 JP-Based Nanomotors
4.9 Conclusions
References
5 Upscaling Flow and Transport Processes
5.1 Introduction
5.2 Flow Through Porous and Heterogeneous Media
5.2.1 Darcy's Law
5.2.2 Extensions of Darcy's Law
5.2.3 Heterogeneous Media
5.3 Macroscopic Transport Models
5.3.1 Fickian Dispersion
5.3.2 Anomalous Dispersion
Continuous Time Random Walks
Multi-Rate Mass Transfer
5.3.3 Mixing and Chemical Reactions
Mixing, Diffusion and Dispersion
Chemical Reactions
5.4 Multiphase and Surface Processes.
5.4.1 Mass and Heat Transfer
From Surface Processes to Averaged Reaction Rates
5.5 Conclusions
Appendix A: Homogenisation and Two-Scale Expansions
Appendix B: Volume/Ensemble Averaging
References
6 Recent Developments in Particle Tracking Diagnosticsfor Turbulence Research
6.1 Introduction
6.2 A Model-Free Calibration Method
6.2.1 Principle
6.2.2 Practical Implementation
6.2.3 Results: Comparison with Tsai Model
6.2.4 Discussion
6.3 Particle Tracking Algorithms
6.3.1 Shadow Particle Tracking Velocimetry
Experimental Setup
The Trajectory Stereo-Matching Approach
Flow Measurements
6.3.2 Improved Four-Frame Best Estimate
6.4 Noise Reduction in Post-Processing Statistical Analysis
6.4.1 Lagrangian Auto-Correlation Functions
Results
Discussion
6.4.2 Eulerian Structure Functions
Method
Results
Discussion
6.5 Conclusions
References
7 Numerical Simulations of Active Brownian Particles
7.1 Introduction
7.2 Passive Brownian Motion
7.3 Active Particles
7.3.1 Active Brownian Motion
7.3.2 Run-and-Tumble Motion
7.3.3 Chiral Active Brownian Motion
7.3.4 Gaussian Noise Reorientation Model
7.4 More Complex Models
7.4.1 Non-Spherical Particles
7.4.2 External Fields
7.4.3 Interacting Particles
7.4.4 Multiplicative Noise
7.5 Numerical Examples
7.5.1 Living Crystals
7.5.2 Colloids with Short-Range Aligning Interaction
7.6 Conclusions
References
8 Active Fluids Within the Unified Coloured Noise Approximation
8.1 Introduction
8.1.1 The Genesis of the UCNA Model of Active Particles
8.2 The Unified Coloured Noise Approximation (UCNA)
8.2.1 Kinetic Approach
8.2.2 Stationary Solution in the Absence of Current
8.2.3 Fox Approximation
8.2.4 Entropy Production in UCNA
8.2.5 H-Theorem.
8.3 Born-Green-Yvon Hierarchy in the Steady State
8.4 Active Pressure
8.5 Velocity Correlations
8.6 Simple Applications
8.6.1 Active Elastic Dumbbells
8.6.2 Pressure of N Noninteracting Active Particles Surrounded by Harshly Repulsive Walls
8.7 Active Particles in a Time-Dependent Potential
8.7.1 Effective Potential
8.7.2 Dynamical UCNA and Particle Density Profile
8.7.3 Average Drag Force
8.8 Conclusions
Appendix 1: Entropy Production and Heat Flux in the GCN
Appendix 2: Absence of Detailed Balance Condition in the GCN
References
9 Quadrature-Based Lattice Boltzmann Models for RarefiedGas Flow
9.1 Introduction
9.2 Generalities
9.3 One-Dimensional Quadrature-Based LB Models
9.3.1 Full-Range Gauss-Hermite Quadrature
9.3.2 Half-Range Gauss-Hermite Quadrature
9.4 LB Models in the Three-Dimensional Momentum Space
9.4.1 Reduced Distributions
9.4.2 Mixed Quadrature LB Models with Reduced Distribution Functions
9.4.3 The Lattice Boltzmann Equation
9.4.4 Non-Dimensionalisation Procedure
9.5 Simulation Results
9.5.1 Couette Flow Between Parallel Plates
9.5.2 Force-Driven Poiseuille Flow Between Parallel Plates
9.6 Conclusions
Appendix: Numerical Scheme
References
Index.

Flowing Matter.

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