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Introduction to CFD lecture notes/ eBook pdf download
Neeraj Yadav

Introduction to CFD lecture notes/ eBook pdf download

Neeraj Yadav | 11-Jun-2016 |
Introduction to CFD , Applied Computational Fluid Dynamics , FLUID DYNAMICS , Advantages of CFD , Limitations of CFD ,

Hi friends, here Neeraj Yadav uploaded notes for Computational Fluid Dynamics with title Introduction to CFD lecture notes/ eBook pdf download. You can download this lecture notes, ebook by clicking on the below file name or icon.

Fluid dynamics
• Fluid dynamics is the science of fluid motion.
• Fluid flow is commonly studied in one of three ways:
– Experimental fluid dynamics.
– Theoretical fluid dynamics.
– Numerically: computational fluid dynamics (CFD).
• During this course we will focus on obtaining the knowledge required to be able to solve practical fluid flow problems using CFD.
• Topics covered today include:
– A brief review of the history of fluid dynamics.
– An introductory overview of CFD.

Advantages of CFD

•    Relatively low cost.
–    Using physical experiments and tests to get essential engineering data for design can be expensive.
–    CFD simulations are relatively inexpensive, and costs are likely to decrease as computers become more powerful.
•    Speed.
–    CFD simulations can be executed in a short period of time.
–    Quick turnaround means engineering data can be introduced early in the design process.
•    Ability to simulate real conditions.
–    Many flow and heat transfer processes can not be (easily) tested,
eg. hypersonic flow.
–    CFD provides the ability to theoretically simulate any physical condition.
•    Ability to simulate ideal conditions.
–    CFD allows great control over the physical process, and provides the ability to isolate specific phenomena for study.
–    Example: a heat transfer process can be idealized with adiabatic, constant heat flux, or constant temperature boundaries.
•    Comprehensive information.
–    Experiments only permit data to be extracted at a limited number of locations in the system (e.g. pressure and temperature probes, heat flux gauges, LDV, etc.).
–    CFD allows the analyst to examine a large number of locations in the region of interest, and yields a comprehensive set of flow parameters for examination.


Limitations of CFD

•    Physical models.
–    CFD solutions rely upon physical models of real world processes (e.g. turbulence, compressibility, chemistry, multiphase flow, etc.).
–    The CFD solutions can only be as accurate as the physical models on which they are based.
•    Numerical errors.
–    Solving equations on a computer invariably introduces numerical errors.
–    Round-off error: due to finite word size available on the computer. Round-off errors will always exist (though they can be small in most cases).
–    Truncation error: due to approximations in the numerical models. Truncation errors will go to zero as the grid is refined. Mesh refinement is one way to deal with truncation error.
•    Boundary conditions.
–    As with physical models, the accuracy of the CFD solution is only as good as the initial/boundary conditions provided to the numerical model.
–    Example: flow in a duct with sudden expansion. If flow is supplied to domain by a pipe, you should use a fully-developed profile for velocity rather than assume uniform conditions.


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