PIONEERING DESIGN-CLASS ANALYSIS

 

 

 

 

 

 

 

 

 

 

 

 

 

 

FLOTHERM - Optimized CFD for the Electronics Thermal Analysis Problem

 

 

 

CFD Solvers come in many shapes and forms and are used in many industries. But the Electronics Thermal Analysis problem offers a number of unique challenges. The CFD Solver at the heart of FLOTHERM has always been regarded as the best in its class and, by concentrating on functionality directly related to the electronics thermal analysis function, we have been able to make it stable, robust and fast, and capable of dealing with today's highly complex electronics designs. Here are some of the highlights.


SOLVER TECHNOLOGY

Perhaps the most fundamental requirement for a solver is that the answers are both accurate and reliable. In particular, it's critical that the solver represents all of the important physical effects. Finally, it should converge easily and with minimal user intervention for a wide range of forced and natural convection problems.

FLOTHERM carries out a full, 3-dimensional solution of the 'Navier-Stokes' equations which govern fluid flow and heat transfer. This includes the effects of:
  • conduction
  • convection (air movement)
  • thermal radiation
  • air viscosity
  • turbulence and
  • buoyancy effects.
The solver is based on finite volume techniques meaning that the solution is fully conservative for mass, energy and momentum. And, based on many years of experience, we've been able to come up with optimized solution parameters to suit a wide range of electronics thermal design problems.
HIGHLY EFFICIENT GRIDDING

The grdding system employed must be appropriate to the system that you're analyzing. Many gridding systems are designed for smooth meshing around relatively low numbers of curved objects such as aerofoils or pipe bundles or through combustion chambers. But the inside of a computer or a router or a telecomms rack doesn't look like that! Most electronic systems are cluttered with hundreds, sometimes thousands of irregular objects. And this means that a gridding system is needed which is efficient both in terms of its memory requirements but also solution speed.

FLOTHERM's gridding system was developed to meet just those needs. Highly memory efficient and optimized for fast solution in cluttered systems, the grid is automatically generated from a series of object-associated grid constraints and user-defined grid patches. Although the number of nodes may be larger than those for an unstructured grid, the efficiency of the scheme is such that memory requirements are much lower (sometimes an order of magnitude), and solutions are much more efficient and much faster for typical electronics problems. Proven over 10 years of hard work in demanding day-to-day design work, the gridding system has proven to have no match.
AUTOMATIC RADIATION VIEW FACTOR CALCULATION

In some applications, the effect of thermal radiation can be a significant factor. Sometimes this can be beneficial, perhaps by dissipating heat to the environment. At other times it can be harmful, for example by absorbtion of solar radiation. In particular, natural convection systems and portable products such as mobile phones and laptop computers need to take radiative losses into account. But one of the characteristics of many electronics systems is the small, irregular and cluttered cavities that exist within. And this makes the manual calculation of radiation exchange factors a demanding task.

FLOTHERM includes powerful functionality for the automatic calculation of radiation view and exchange factors. The analyst identifies which surfaces are involved in the radiative exchanges, and the FLOTHERM Exchange Factor Calculator determines the view and exchange factors taking into account:
  • multiple reflections between surfaces
  • complete and partial shading; and
  • automatic surface subdivision.

Combined with the use of libraries of surface finish properties, this provides an extremely powerful capability for the thermal analyst worried about Thermal Radiation.

ORTHOTROPIC CONDUCTIVITY
A number of the materials found in electronics applications exhibit different thermal conductivities in different coordinate directions. The most common examples are PCB's (Printed Circuit Boards) and the substrates of some IC packages, but it is also a concern for some composite materials. The magnitude of the effect can also be quite large. For example, the in-plane conductivity of a typical 4 layer PCB can be as much as 2 orders of magnitude higher than the through-plane conductivity.

FLOTHERM allows for the effect of orthotropic conductivity by giving the user the ability to set different conductivity in different coordinate directions. In addition, when defining a PCB, the in-plane and through-plane conductivities are calculated directly from user specified board details removing a layer of calculations from the user.
ADVANCED FAN MODELING

Fans are a common and critical component in many systems. But they can be complex to model accurately since an analysis should include the effect of:

  • non-linearities in the fan curve
  • the effect of fan swirl

And, although manufacturers publish fan characteristics in their data books, accurate information about fan swirl is difficult to find.

FLOTHERM includes fan operating point calculation for both linearised and non-linear fan characteristic curves. Any number of fans can be included and FLOTHERM will calculate the operating point of each, reporting this back to the user through tabulated output. The fan curves can be input by hand, or read in from a library file supplied by the manufacturer.

FLOTHERM also allows the user to define the swirl from a fan, or to employ a built-in empirical correlation based on joint research with PAPST GMBH and members of the DELPHI Research Consortium.

MONITOR POINTS
FLOTHERM provides a system of 'monitor points' which can be used to check on the progress of the solution as it moves towards convergence. Created and positioned with the mouse, monitor points can also be attached to geometrical assemblies so that they become, in effect, computational probes which can then be passed from user to user or re-used in subsequent analyses

 

 

 

 

 

 

 

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