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Email: tayloreddydk1@gmail.com

Practical Tools, Tips and Techniques.

Concisely summarizes key requirements for performing outstanding CFD analysis.

Applied Computational Fluid Dynamics And Turbulence Modeling

This innovative book offers many useful applications, guidelines, and step by step examples, all within a single resource:

• How to compute the Reynolds number for pipes, ducts, spheres, cylinders, plates, airfoils, and cubes.
• Comparison and description of mayor turbulence models (Prandtl k model, Kolmogorov k-ω, 1988 and 2006 k-ω, standard k,
Myong-Kasagi k-ε, 2003 SST, standard Smagorinsky, etc.).
• Recommendations for running RANS, LES, and DNS simulations.
• How to easily hand-calculate key turbulence parameters such as y+, eddy size (Kolmogorov, Taylor, and integral), turbulent kinetic energy, turbulent kinematic viscosity, and turbulent dissipation.
• How to make great, defensible, computationally-defensible (“bullet proof”) meshes.
• Dozens upon dozens of worked examples and practical problems.
• Matlab coding to solve many key turbulence parameters.
• FORTRAN program that solves a turbulent Couette flow using the Prandtl turbulence model.
• Hundreds of modeling tips for laminar, turbulent, and natural circulation flows.
• Time step selection and stability issues.
• Myriads of recommendations for making outstanding data visualization images.
Sal Rodriguez

 

Click below to download for free the Matlab and FORTRAN source files associated with the book examples and problems.

The user will find that the files below are highly suitable for solving numerous practical turbulence problems found in industry and academia, as described in detail in the book. All files are compressed so they may be saved in the Downloads folder in your Documents or user directory after downloading. To uncompress the files, simply double click on them and drag the files from the zipped folder to a new location.
File “couette_turbulent__PRANDTL__09182019__BOOK__FINAL.f”

This FORTRAN program lays the basic fundamentals for programming turbulence models to solve realistic turbulent flows. As a fundamental, extendable platform, the program uses the Prandtl turbulence model to consider a 1D Couette flow. In this specific situation, the program solves the x-momentum equation for the u-velocity and the turbulent kinetic energy (k) partial differential equation. Key output are turbulence velocity, dissipation, and kinetic energy. Extending the program to 2D and 3D is rather straightforward by adding the y and z momentum equations, and noting that the generalized momentum PDEs should be used, as found in chapter 2 of the book. In addition, the Prandtl turbulence model can be replaced with the ω partial differential equation and the relevant 2006 k-ω auxiliary equations, thereby extending the model to the 2006 kWilcox turbulence model; refer to Section 4.6.3.4 of the book.

Function call “Script_to_call_NaPbBiLBE_func.m”

Can be used to call Function “NaPbBiLBE.m”.

FUNCTION, “NAPBBILBE.m”

Calculates the physical properties of molten sodium, lead, bismuth, and lead-bismuth eutectic (LBE). This includes the density, thermal conductivity, heat capacity, dynamic viscosity, and volume expansivity.

File “Yplus_LIKE_Eddy_Scales__
BOOK_Version.m”

Calculates the Reynolds number (Re), y+, the LIKE algorithm, as well as Kolmogorov, Taylor, and integral eddy size, velocity, and time scales. Many examples from the book were added, as well as many that are not in the book, including a “fun” mako shark example. Makos can achieve so much momentum that they are able to surge up to 30 feet above the surface of the ocean.

Files “refpropm.m”, “rp_proto.m”, and “rp_proto64.m”

Auxiliary files for calling the REFPROP material properties calculator. Note that file “Yplus_LIKE_Eddy_Scales__BOOK_Version.m” and file “PR_ETA_FPRIME__BOOK_Version.m” call REFPROP. Alternatively, the user can input their own property values, if they choose to do so.

File “PR_ETA_FPRIME__BOOK_Version.m”

Useful for laminar and turbulent natural circulation problems. The program calculates the Prandtl number (Pr), the Grashof number (Gr), the Nusselt number (Nu), and the Rayleigh number (Ra), as well as many other flow properties.

Email: tayloreddydk1@gmail.com

buddies recommending me

"One of the best engineering books of All Times!

Great book with lots of examples for performing state-of-the-art reliable computational fluid dynamics (CFD) and turbulence modeling.


If there is someone who really knows about Advanced Computational Fluid Dynamics and Turbulent Flow Modeling is Dr. Sal.

For years I´ve been anxiously waiting for Dr. Sal to write a book like this and he finally did!

I know Dr. Sal is currently a Principal Member of the Technical Staff at Sandia National Laboratories (SNL) and a Research Associate Professor at University of New Mexico with multiple degrees in Nuclear Engineering, Mechanical Engineering, Applied Mathematics and a PhD in Nuclear Engineering.

Every engineering student or professional should read it!."
Nima Fathi
"Applied Computational Fluid Dynamics and Turbulence Modeling is a practical, complementary companion for academic CFD textbooks and senior project courses in mechanical, civil, chemical, and nuclear engineering; senior undergraduate and graduate CFD and turbulence modeling courses; and for professionals developing commercial and research applications.

The book gives practical advice on selecting appropriate turbulence models and presents best CFD practices for modeling and generating reliable simulations. The author gathered and developed the book’s hundreds of tips, tricks, and examples over three decades of research and development at three national laboratories and at the University of New Mexico—many in print for the first time in this book. The book also places a strong emphasis on recent CFD and turbulence advancements found in the literature over the past five to 10 years. Readers can apply the author’s advice and insights whether using commercial or national laboratory software such as ANSYS Fluent, STAR-CCM, COMSOL, Flownex, SimScale, OpenFOAM, Fuego, KIVA, BIGHORN, or their own computational tools.
"
William MacArthur
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