Turbulence and Transport Phenomena (eBook)

Modelling Techniques in Computational Fluid Dynamics

Sofen Kumar Jena (Autor)

eBook Download: EPUB

2025
634 Seiten
Wiley (Verlag)
978-1-394-36124-3 (ISBN)

Infos

An accessible introduction to turbulence modelling, combining core theory with practical use of the most common models

Turbulence and Transport Phenomena: Modelling Techniques in Computational Fluid Dynamics offers a clear and practical introduction to turbulence theory and its modelling strategy. It bridges fundamental principles with real-world CFD implementation, making complex ideas accessible without losing technical depth.

The book builds upon essential fluid mechanics and mathematical foundations, ultimately progressing to advanced turbulence modelling methods, including RANS, LES, and compressible flow analysis. Step-by-step derivations, examples, and practical guidance help readers connect theory to engineering practice.

Turbulence and Transport Phenomena includes key features such as:

• Fundamentals of fluid motion and the meticulous derivation of the Navier-Stokes equations
• Energy and species transport, boundary and initial conditions
• Detailed RANS and LES modelling approaches
• Vorticity dynamics and turbulent transport mechanisms
• Compressible turbulence and coherent structures
• Curvature and corner flow corrections

Designed for both newcomers and experienced professionals, Turbulence and Transport Phenomena provides the knowledge and tools needed to master turbulence modelling in aerospace, automotive, energy, environmental, and process engineering applications.

Sofen Kumar Jena, Ph.D., is a Process Modelling Engineer and Hydrogen Specialist at Bosch Transmission Technology, BV, Netherlands. He works on advanced research in sustainable energy and fluid mechanics. Before joining the industry, he served as a researcher and Assistant Professor, contributing to the Turbulence Research Group at Université de Pau et des Pays de l'Adour (France) and the Process & Energy Department at Delft University of Technology (Netherlands).

Textauszug

Notation

Symbols

Euclidean space

Real number space

Flow domain (Chapter 1), Magnitude of rotation vector (Chapter 7)

Flow domain boundary

Basis vectors

Group of linear operators in

Eigenvalue (Chapter 1), Mean free path (Chapter 2)/ Secondary viscosity (Chapter 3)/ Thermal conductivity (Chapter 4)

Knudsen number

Fluid volume

Density

Specific volume

Spatial coordinate

Material point

Time

Characteristics length

Strain rate tensor

Rotation rate tensor

Levi-Civita symbol

Kronecker delta symbol

Conservative force

Scalar potential

Traction vector

Unit normal vector

Cauchy’s stress tensor

Mechanical pressure of fluids

Thermodynamic pressure

Cartesian component of velocity

Dynamic viscosity

Kinematic viscosity

Deviatoric stress tensor

Boltzmann constant

Absolute temperature

Mean diameter (Chapter 3), Shortest distance from nearest wall (Chapters 9 and 11)

Stream function

Velocity potential

Characteristic gas constant

Universal gas constant

Net heat interaction per unit mass

Net work done per unit mass

Molar mass of air

Internal energy

Specific enthalpy

Isobaric compressibility

Isothermal compressibility

Specific heat at constant pressure

Specific heat at constant volume

Specific entropy

Number of equally probable states for molecules

Helmholtz free energy

Gibbs thermodynamic potential

Molecular weight of the species

Molar concentration of species

Species concentration strength

Concentration flux

Binary diffusion coefficient

Tangential direction at wall

Normal direction at wall

Mass flow rate

Entrance length of tube

Tube diameter

Skin friction coefficient

Similarity transformation coordinate

Drag force

Boundary layer thickness

Displacement thickness

Momentum thickness

Energy thickness

Thermal boundary layer thickness

Shape factor

Prandtl number

Péclet number

Nussult number

heat transfer coefficient

Reynolds number

Thermal diffusivity

Stanton number

Self similar function

Mechanical energy

Viscous dissipation

Net energy injection

cross correlation coefficient

Turbulent diffusion

Pressure diffusion

Viscous or molecular diffusion of

Viscous dissipation tensor

Convective transport of kinetic energy

Pressure coefficient

Enstrophy

Energy at wave number

Klebanoff intermittency function

Turbulence diffusivity

Scalar diffusivity

Circulation

Turbulent intensity

Wave number

Von Kármán constant

Turbulent kinetic energy

Mixing length

Separation distance between two points at distance

Integral length scale

Taylor micro scale

Kolmogorov’s length scale

Geometric dimension of the flow field

Kinetic helicity

Eddy viscosity

Specific dissipation

Mean rate-of-rotation tensor

Mean rate-of-rotation tensor magnitude

Reynolds average pressure

Fluctuating component of pressure

Production of due to buoyancy

Production of due to shear

Turbulent Prandtl number

Pressure-strain rate correlation

Reynolds average scaler

Fluctuating component of scalar

Turbulent flux

Mean strain rate tensor

Mean strain rate magnitude

Reynolds stress

Wall shear stress

Kolmogorov’s time scale

Reynolds average velocity

Fluctuating component of velocity

Dimensionless scaled velocity

Shear velocity

Kolmogorov’s velocity scale

Velocity associated with scale

Dimensionless scaled distance from wall

Vorticity vector

Solenoidal dissipation

Dilatation dissipation

Adiabatic index (Chapters 4 and 12)

Sutherland constant for dynamic viscosity

Sutherland constant for thermal conductivity

Specific entropy

Mach number

Turbulent Mach number

LES filter width

LES filtering kernel

Subgrid scale stress (Chapter 11)

Subgrid scale heat flux (Chapter 11)

Subgrid scale Prandtl number

Subgrid scale kinematic viscosity

Mixing length for subgrid scales

Smagorinsky coefficient

Smagorinsky constant

von Kármán constant

Damping constant

SGS stress tensor at the test-filter level

Resolved-scale stress tensor

Field variable

Filtered part of the field variable

subgrid-scale component of the field variable

Modified pressure

Velocity gradient tensor

Deviatoric part of the square of the velocity gradient tensor

WALE constant

Subgrid-scale kinetic energy

Subgrid-scale kinetic energy production

Subgrid-scale dissipation

DKES model constant for

DKES model constant for

Subgrid-scale thermal transport

Coordinate direction

Normal distance to the nearest wall

Streamwise grid spacing

Wall-normal grid spacing

Spanwise grid spacing

Dimensionless scaled distance in streamwise direction

Dimensionless scaled distance in spanwise direction

DES length scale

RANS length scale

LES length scale

Dissipation for DES

Wall proximity

Dimensionless temperature

Abbreviations

2DURANS

Two-dimensional unsteady RANS

3DRANS

Three-dimensional RANS

3DURANS

Three-dimensional unsteady RANS

BSL

Baseline

CFD

Computational fluid dynamics

CS

Coherent structures

DDES

Delayed detached eddy simulation

DES

Detached eddy simulation

DKES

Dynamic kinetic energy subgrid-scale model

DNS

Direct numerical simulation

DSL

Dynamic Smagorinsky–Lilly model

FANS

Favre averaged Navier–Stokes

FLOPS

Floating-point operations per second

GGDH

Generalized gradient diffusion hypothesis

GIS

Grid induced separation

HPC

High performance computing

IDDES

Improved delayed detached eddy simulation

IP

Isotropization of production

KH

Kelvin–Helmholtz

LES

Large eddy simulation

LESIQ

Large eddy simulation indicator of quality

LRR

Launder, Reece and Rodi Reynolds stress model

MSD

Modelled stress depletion

QDNS

Quasi DNS or wall resolved LES

RANS

Reynolds-averaged Navier–Stokes

RNG

Renormalization group

RTT

Reynolds transport theorem

RSM

Reynolds stress model

SBLI

Shock boundary layer interaction

SGDH

Simple gradient diffusion hypothesis

SGS

Subgrid-scale

SL

Smagorinsky-Lilly model

SRA

Strong Reynolds analogy

SSG

Speziale, Sarkar and Gatski Reynolds stress...

Produkt-Details

• Erscheint lt. Verlag: 24.12.2025
• Sprache: englisch
• Themenwelt: Technik ► Maschinenbau
• Schlagworte: and transport formulations • CFD solvers • compressible turbulence modelling • Einstein tensor notation • Fluid Kinematics • Large Eddy Simulation • LES • navier-stokes equations • Reynolds-averaged modelling • turbulent flows
• ISBN-10: 1-394-36124-6 / 1394361246
• ISBN-13: 978-1-394-36124-3 / 9781394361243