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Where is Flownex used?

 

Flownex is a system and sub-system simulation tool used to design and integrate thermal hydraulic systems

 

Flownex enables engineers to predict, design and optimise for; flow rates, pressures, temperatures, and heat transfer rates in any fluid system. 

 

Flownex can design and optimize closed and open loop flow and heat transfer systems with any amount of branching flows (diverging and converging) and inlets and outlets. Such systems include anything from ventilation systems, water and gas distribution systems up to boiler designs and complete power generation cycles.

 

What sets Flownex apart?


—Simultaneous simulation and integration of:
  • —Complete homogeneous two-phase fluids,
  • —Non-Newtonian fluids,
  • —Slurry,
  • —Liquids,
  • —Gases,
  • —Gas mixtures,
  • —Incondensable mixtures,
  • Heat transfer,
  • Mechanical systems,
  • Control systems,
  • Electrical systems, and
  • User defined or external components and software from other vendors, links to existing proprietary codes and legacy software.
—Both steady and dynamic simulation.
  • —Fluid momentum, thermal capacitance and mechanical inertia
—NQA1 and ISO 9001 accreditation.

 

Latest News

Flownex is a systems CFD (Computational Fluid Dynamics) code that enables users to perform detail design, analysis and optimization of a wide range of thermal-fluid systems ranging from simple pipe networks to complex systems such as gas turbine engines or combined cycle power plants.

“Systems CFD” refers to the approach where component models with different levels of complexity ranging from analytical models or lumped models to 1D, 2D or even 3D CFD models are linked together in a network to represent a complex system.

Flownex’s solution algorithm resembles that of a conventional CFD code. The system is discretized into a number of spatial or conceptual control volumes to which a set of conservation equations are applied and then solved.

Distinguishing features of Flownex are:

  • it’s ability to deal with both steady-state and dynamic problems,
  • it’s ability to deal with both single phase and two-phase fluids,
  • it’s ability to deal with very large networks and
  • its speed of execution.