As a computational geometry developer I have worked on several meshing software development projects. Every time mesh quality has become focal point. As matter of fact this becomes conflicting topic between the various teams due to the difference of opinion in engineering community.

Before getting into the details of the turbulent models let us discuss an important concept known as and know how it is related to turbulence modeling, mesh generation process and how it is going to affect the CFD end result. It is important to know about the concept of wall or in general how the flow behaves near the wall, to consider the effects near the wall as it is the basis on which choice of the turbulence model is governed.

As all of CFD, in one form or the other is based on the fundamental governing equations of fluid dynamics i.e. the continuity, momentum and energy equations these are called as the equations speaking physics. They are the mathematical statements of the three physical principles that govern fluid dynamics, hence it becomes very important to derive and discuss these equations. The current blog is motivated to review the very basis of governing equations understanding their physical meaning before actually deriving them.

Understanding the turbulent behaviour of fluids is one of the most fascinating, forbidding & critical problems in all of classical physics. Turbulence is omnipresent, as most of the fluid flows are turbulent in nature right from the microscopic level at interior of biological cells to the macroscopic scales of the geophysical and astrophysical phenomena including planetary interiors, oceans and atmospheres that represent the dominant physics of turbulent fluid flows.

Grid generation or meshing is a very critical part within the CFD simulation process as it not only dictates the simulation time but also the accuracy of results of the study. Generating a very coarse and poor quality mesh/ grid often leads to non-physical or highly inaccurate simulation results though may be solved on a very powerful solver. Hence the grid generation skills, capability and its exposure are of equal importance as much as that of the solver operations.

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