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What is CFD?
CFD is predicting what will happen, quantitatively, when fluids flow, often with the complications of:

simultaneous flow of heat,
mass transfer (eg perspiration, dissolution),
phase change (eg melting, freezing, boiling),
chemical reaction (eg combustion, rusting),
mechanical movement (eg of pistons, fans, rudders),
stresses in and displacement of immersed or surrounding solids.

CFD turns a computer into a virtual laboratory, providing insight, foresight, return on investment, and cost savings.

CFD is the fastest growing component of the Computer Aided Engineering (CAE) market, and plays a role in Product Lifecycle Management (PLM) as well.
Computational Fluid Dynamics, or CFD, is a complex technique for determining the equilibrium state of a region of fluid flow. The technique works by breaking the geometrical volume of the flow into a large quantity of discrete volumes, called cells. For each one of these cells, the complete set of fluid dynamic equations are solved, including mass balance, momentum balance, energy balance, and chemical reactions rates. Using numerical solving techniques, this large set of simultaneous equations are solved in an iterative process. It is not unusual for these equations to number in the millions.

Coen uses a CFD code developed by Fluent Inc. to perform all of its CFD analyses. Since 1986, the Coen R&D Department has used this code to analyze and optimize burner design. This software package was selected because it provides a wide range of physical models and development tools for the simulation of combustion processes.

In its current release, the Fluent package offers both structured and unstructured solvers, mesh development tools, and post-processing for displaying results. Its general-purpose approach affords enough versatility to be used for air flow modeling, heat transfer modeling, and combustion modeling. Some of the features Fluent offers include the following:

Choice of 2D or 3D grids
Choice of structured or unstructured grids
Mixed cell types/shapes
Adaptive grid refinement
Choice of turbulence models (laminar, k-e, RNG k-e)
Variable fluid properties
Buoyancy and free convection
Heat transfer with interaction between gas, liquid, and solid phases
Choice of radiation models (DTRM, P-1, Rosseland)
Choice of reacting or non-reacting chemistry
Choice of combustion models (finite rate chemistry, mixture fraction PDF approach)
Discrete phase models for liquid droplet or solid particle injection
Post-processor for NOx prediction



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