AFT Arrow

AFT Arrow

AFT Arrow is a fluid dynamic simulation tool used to calculate pressure drop and flow distribution in gas piping and ducting systems.

  • Accurately simulate individual components and their interaction including effects of heat transfer, real gases and choked flow
  • Tightly integrate equipment characteristics, analysis and output with your system’s schematic representation
  • Utilize a wide array of features without sacrificing your need for a short learning curve
  • Compare the performance of new designs and assure all design requirements are met.
  • Identify and correct operational problems in installed systems
  • Significantly improve the quality of systems engineering and produces less costly, more efficient and more reliable piping systems


  • Experiment and simulate with a wide range of designa nd operational system components
  • Select ideal or real gases
  • Choose between isothermal, adiabatic or generalized heat transfer conditions
  • Vary your system lineup: open and close pipes and valves, turn compressors or fans on or off, set control valves to fail position
  • Design and analyze critical flow conditions including flare and relief systems
  • Conduct flow analysis with high velocities including sonic choking
  • Compile catalogs of your frequently used components and quickly select them from a drop down list
  • Assemble non-reacting mixtures and analyze dynamic mixtures resulting from intersecting flow streams
  • Model and analyze rotating piping systems such as those found in steam and gas turbines
  • Simulate the effects of elevation changes such as in tall structures, subsurface mines and overland pipelines

Typical Applications

  • Pipe and Duct Sizing
  • Relief valve sizing and system calculations
  • Compressor and Fan sizing and Selection
  • Control Valve sizing and Selection
  • Simulating System operation and component interaction
  • Choked Flow calculations
  • Evaluating pipe insulation and heat transfer in pipes and heat exchangers
  • Troubleshooting existing systems to determine the cause of operational problems