Computational Fluid Dynamics

Computational Fluid Dynamics


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.

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 and
  • Multi-phase reactors.

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