Computational Fluid Dynamics

Abstract

Computational Fluid Dynamics modeling provides insight into detailed fluid flow characteristics and resulting system performance. CFD methods solve the equations for mass, energy and momentum at discrete locations in space. A two-dimensional (2D) or three-dimensional (3D) grid (also called a mesh) within the problem domain defines the detailed geometry for solving these equations. CFD methods determine detailed flow fields, including velocity, pressure, temperature, composition and density at each point in the grid.

Illustration of computational fluid dynamics

Client Benefits

Computational Fluid Dynamics is an advanced systems analysis tool that assists Fluor engineers in providing better designs, operations and support services to clients. Examples of CFD systems include:

Flame pattern and temperature distribution in a SRU reaction furnace
Single phase and two phase fluid flow behavior and piping
Separator vessels including two- and three-phase separations
Mixing vessels and piping in-line mixers
Multi-phase reactors

CFD is a differentiating technology in the larger picture of advanced services provided by Fluor.