# Computational Fluid Dynamics

## Why Computational Fluid Dynamics (CFD) ?

Computational fluid dynamics (CFD) is a fork of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid flows. It is a way of solving the equations of fluid motion numerically and lends itself to the solution of fluid flow problems using computers.

Lower development costs

Shortened design cycle

Reduce the number of prototypes needed for physical testing

A more robust and reliable finished product

A product that is optimized for performance

## How CFD works

Step 0: Physical problem to Mathematical model

Step 1: Meshing generation (discretize the continuum), Pre-processing

Step 2: Select Type of analysis (simplified model version of problem)

Step 3: Specify the Fluid properties or model

Step 4: Specify Boundary conditions

Step 5: Select Solvers and Interpolation Schemes for solution of equation system

Step 6: Post-processing results e.g Pressure loss/gain, Vorticity, Forces

## Finite Volume Method

The domain is divided or descritized into small control volumes where the variable of interest is at the center of the volume. For computational fluid dynamics this is the most variable or flexible method. Integration of the differential equation takes place over each control volume and then interpolation profiles are assumed between cell centroids to get the full flow profile of the variable of interest.

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