The analysis of heat transfer plays a role in almost any Computational Fluid Dynamics (CFD) project. We have discussed the role of heat transfer modeling in combustion and multiphase flows, now we look at other applications of heat transfer simulation. In CFD, heat transfer is governed by three main phenomena: conduction, convection and radiation.

Industries that rely on Heat Transfer Processes

Heat transfer related processes are present in the equipment used and produced by all the major industrial sectors. A few real life applications where heat transfer plays an important role are:

  • Automotive industry (radiator, cooling circuits, lamps)
  • Aerospace (de-icing system, cooling systems)
  • Chemical Process Industry (heat recovery systems, heat exchangers)
  • Energy (kilns, boiler, cross flow heat exchangers, solar panels)
  • Home appliance (ovens, household heaters)

It is evident how heat transfer is a branch of engineering with a long history, and the ever more demanding energy efficiency requirements of today are driving engineers to continuously improve the efficiency of heat transfer processes.  A large quantity of equipment that relies on heat transfer phenomena has been developed over the years, resulting in a technology push that is constantly requiring more detailed numerical analyses. Such analyses often require the use of optimization techniques or advanced turbulence modelling of components such as the fins of a heat exchanger or turbulators in tubes and plates.

Heat TransferHeat Transfer from the Numerical Simulation Perspective

The simulation of heat transfer requires a good predictive turbulence modelling software application particularly near the walls. Unfortunately the preset wall functions in most standard commodity software products are often times inadequate and can act as numerical shields.

The main heat transfer phenomenon in applications such as the fins of a heat exchanger, or turbulators inside tubes or on plates, is the convective physical transport phenomenon. CFD calculations using a fine meshing capable of boundary layer resolution, produce results that provide engineers with a deep insight into the phenomena. Thanks to this insight engineers are able to improve the overall designs and optimize the overall heat transfer, depending on the specific goals/needs.

For heat conduction problems, conjugate heat transfer is necessary in order to solve the Fourier equation through solids (whose material properties can usually be set as nonlinear and anisotropic in most commercial codes); if wall to fluid boundaries are trivial, a closed-form solution can be easily found, otherwise a Finite Element code is necessary to resolve the temperature and the heat transfer rate.

For heat transfer problems where the temperature difference is relatively high, radiation is an important phenomenon to be considered, requiring surface to surface modeling with gas absorption for grey gases. Also, the software package used for modeling must have a reliable database containing the spectral properties of materials in order to be able to effectively model their greenhouse gas emissions.

Typical physical aspects to cover in a predictive turbulence model where the heat transfer is governed by the radiation physical transport phenomenon are:

  • laminar and turbulent boundary layer
  • multiple material properties and  non linear material properties
  • radiation with grey gas and spectral material properties
  • buoyancy
  • evaporation, condensation, change of phase in general

Why is the Mathematical modeling of Heat Transfer so important?

Heat transfer CFD predictions are often used to verify the flow balance in 3d geometries. An example of when a predictive turbulence model is extremely helpful is the case of an automotive radiator. Here a designer may wrongly assume a uniform heat flow, while the complex geometry and boundary conditions often cause that flow to be uneven, resulting in inaccurate heat transfer coefficients and loss of efficiency. The insight provided by a higher fidelity numerical model is therefore an invaluable asset for the design engineers.

Critical regime flow or scenarios can also be studied: for example, it is possible to simulate the boiling of the liquid inside a heat exchanger due to excessive heat wall release, which in turns is going to impact the overall heat transfer coefficient for the exchanger.

Thermal shock resistance is another very important material quality that can be effectively simulated, especially for brittle materials immersed in a fluid. As stress and strains can cause cracking in these materials when subject to high temperature gradients, it is important to correctly simulate the heat transfer from/to the immersed fluid, which is usually moving at high velocity. Furnace or burner failures are some classical examples of this phenomenon, and are often seen in aerospace and defense applications.

The following are some examples of how a thorough CFD analysis of the heat transfer phenomena helped improve the design of products:

  • radiators and heat exchanger flow balance
  • cross flow heat exchanger liquid gas
  • pins and turbolators pressure drop and trade-offs
  • kilns transient analysis
  • thermal shocks, Solar panels
  • cooling jackets, cooling holes position and dimensions
  • automotive exhaust, turbogas exhaust....
  • defrosting ducts for automotive and home appliances
  • lamps, automotive headlights

Case Study

  • Air Cooled Heat Exchanger Systems Performance Modeling

    EnginSoft developed a 3D CFD model of a Liquefied Natural Gas (LNG) Plant for the simulation of the Air-Cooled Heat Exchanger Systems’ (ACHE) arrays and their interaction with the wind. The aim of the analysis was to predict the effectiveness of ejecting heat generated by the ACHE systems, given the plant layout and environmental conditions.

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