Category Archives: Engineering

What Online Thermal Engineering Tools Can I Use To Reduce My Product Design Time-To-Revenue?

A recent article in Electronic Design noted that:

The number one thing engineers care about these days is time-to-market, or more aptly put, time-to-revenue. After all, companies are in business not to develop technology, but to make and sell products based on that technology.

Engineering is a wonderful mix of craft, science and business.  We change lives (usually for the better) and make new things that open up whole worlds of opportunities for others.   But getting things to market is just as much a part of the process as coming up with the next great idea.   As engineers we love cool projects but as business people, optimizing the schedule (where it makes sense) to reduce time-to-revenue is important .  There are a number of free on-line tools that can help with just that task.

ATS Heat Sink Selection Tool: This tool gives engineers a way to get a choice set of heat sinks for a given semiconductor.  This method can shrink the time it takes to choose the right heat sink for validation in an engineer’s lab.  Just click to the tool, choose a component family or type in a component’s part number, and the tool gives you a choice of heat sinks to jump-start an engineer’s design process.  Click here to reach the heat sink selection tool

The National Institute of Standards and Technology:  An excellent reference guides for fluid properties.  This can be an excellent reference to reduce the time to look up such properties while doing any thermal design:  NIST Fluids WebBook Reference.

University of Waterloo’s MHTL on-line simulation tools: Lots of great online tools for conductivity, fluid properties, heat sink calculations and more MHTL On-Line Simulation Tools.

coolingZONE’s Design Corner: Online calculators around impingement heat transfer, radiation shielding, heat sink fin optimized spacing and more coolingZONE Design Corner Calculators.

The Thermal Wizard: A list of interesting online calculation tools including units conversion, conduction calculators, head loss coefficients, The Thermal Wizard

CFD Online: CFD On-line maintains a list of on-line tools for CFD including air foil calculations, pipe flow calculations, power cycle analysis and more, CFD On-Line Tool List

Easy Calculation: They have a few simple tools that might be more approachable than at coolingZONE or University of Waterloo; Easy Engineering Calculation Tools

Arrow Electronics Lighting Designer: A free cloud based application platform to design LED lighting.  Includes reference designs, thermal analysis tool, and simple menu based CAD tool.  Arrow Electronics Lighting Designer

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The Principal Methods for Measuring Thermal Conductivity in Electronics Cooling Studies

A paper by Advanced Thermal Solutions, Inc., ATS, compiles the major methods used by engineers for measuring thermal conductivity. In all, the paper describes and compares 17 proven methods for measuring thermal conductivity in electronics.

In one section of the paper, these methods are grouped according to the time dependence of the heat applied to the sample. Each method is classified under steady-state, periodic or pulsed. Another section compares the performance of each thermal conductivity measurement method, and provides an idea of sample size and preparation, and the operator skill required. There is also a list of the equipment typically needed to conduct each of these thermal tests.

According to the ATS article, the wide choice of methods may first appear to be a disadvantage. However, once understood for their application-specific benefits the advantages become evident. Materials to be tested, part geometry and part test temperatures will usually be the primary criteria.

As always, the relative cost and expected level of accuracy will also be important factors. Avoiding complicated boundary conditions, irregular part geometry, difficult heater placement/construction and encouraging the difficult task of one-dimensional heat flow will greatly simplify the measurement process. Multiple benefits will result from reducing the cost and assembly difficulty of the experimental set-up while avoiding those errors often introduced when attempting to construct complicated analytical/mathematical models.

New Hardcover Collection of Qpedia Electronics Thermal Management Articles Now Available from ATS

Thermal Coupling in Electronics Cooling (part 2 of 2)

In part 1 we wrote about what thermal coupling is and how the coupling effect works. Here in part 2 we’ll explore the coupling effect of radiation, conduction and convection.

To better understand the coupling effects of radiation, conduction and convection and their relative contributions to heat transfer, a model of the case from part 1 of this 2 part series was constructed and solved in CFD. A picture of the set-up is shown in Figure 2.

View of Tunnel With Test Block for Thermal Coupling ExampleFigure 2. View of Tunnel With Test Block

The CFD analysis was performed for the following four cases:

  1. The test block was assumed to be made of aluminum and radiation boundary conditions were applied (the walls of the tunnel were assumed to be isothermal at a temperature of 5°C.)
  2. The block was assumed to be made of aluminum and no radiation boundary conditions were applied (there was no applied wall temperature or emissivity)
  3. The block was assumed to be made of multilayer PCB material and radiation boundary conditions were applied (the tunnel walls were assumed to be isothermal at a temperature of 5°C.)
  4. The block was assumed to be made of multilayer PCB material and no radiation boundary conditions were applied (no applied wall temperature or emissivity)

Each of the four cases above was solved for air velocities of 0.125, 0.25, 0.5, and 1 m/s. For each case, the maximum temperature at the heat source is shown in Table 1 below.

Temperature Data Obtained from CFD for Thermal Coupling ExperimentGraph of Radiation and Convections Results for CFD
Figure 3: Graph of Radiation and Convection Results for CFD

This graph is especially revealing. First, in all cases, increasing the air flow resulted in greater convective heat transfer and lower max temperatures. Further, as the surface temperature of the block decreased, the radiation heat transfer relative to the convective heat transfer was reduced. This is evidenced by the converging lines for each block material (with radiation on or off). Finally, the effect of conduction can be seen in the offset in temperatures between the aluminum and the layered PCB blocks. The max temperatures for the Al blocks were consistently lower than those for the PCB blocks. This makes sense because Al is a considerably better conductor than PCB material; and thus the source heat traveled more efficiently through the Al to the surface of the block where it was dissipated by convection and radiation. Figures 4 and 5 show the temperature distribution through the different block materials.

Temperature Distribution Through an Aluminum Block
Figure 4: Temperature Distribution Through an Aluminum Block

Temperature Distribution through a PCB Block
Figure 5: Temperature Distribution through a PCB Block

It is important to understand the role of thermal coupling in the cooling of electronic devices. The example above illustrates how the different modes of heat transfer are interrelated.

In general, the convective mode of heat transfer requires a fluid. Its effectiveness is strongly dependent on the convective heat transfer co-efficient, which is a function of the fluid velocity and temperature. Because convection is a dominant mode of heat transfer for many electronics cooling applications, thermal engineers should try to maximize the available air flow in a given situation.

The radiation mode of heat transfer requires no medium. It can occur in a vacuum, such as space. Radiation is dominant when temperature differences are great. As seen in the example above, the effect of radiation heat transfer can be significant and should not be ignored.

Finally, the conductive mode of heat transfer requires a solid. Conduction is dependent on the thermal conductivity of the solid, which is usually assumed to be constant for most materials. Thermal engineers should make use of high conductivity materials whenever possible.

Got a question on part 1 or part 2 from today? Contact us and we’ll clarify. And, lets see how ATS thermal engineers can make your next project a success! Email us at ats-hq@qats.com , call us at 781-769-2800 or visit our Design Services

References

1. CFdesign® Software, Blue Ridge Numerics, Inc.

Thermal Coupling in Electronics Cooling (part 1 of 2)

Today we begin a two-part series on Thermal Coupling in Electronics Cooling. In part 1 we’ll cover what thermal coupling is and how the coupling effect works.

Thermal coupling is the interrelationship among the three primary modes of heat transfer: conduction, convection and radiation. Each of these modes is common in electronics cooling and thermal engineers must understand how they can be used together to lower the junction temperature of hot electronic components.

To further explore heat transfer types, a simple virtual test was performed using CFdesign software [1]. A block of material was modeled and subjected to a prescribed heat load. The block was cooled via convection (air flow over the block) and radiation heat transfer. Different block materials were modeled to understand how their inherent thermal conductivity affected overall heat transfer. Each of the test cases was plotted on a graph to show the coupling effects of the various modes of heat transfer.

The test featured a 60 mm x 60 mm block of solid material set in a 250 mm x 25 mm tunnel (or duct). A 10 mm x 10 mm heat source was applied to the blocks base. Figure 2 shows a schematic of the thermal resistance network for this case. The schematic, Figure 1, is a one-dimensional representation of the heat transfer path with the convective, radiative and conductive resistances clearly shown.

Network Model for Solid Block with Heat Source

Figure 1. Network Model for a Solid Block with Heat Source

This model shows that heat must first flow through the solid block via conduction. It can then be dissipated to the wall of the tunnel by radiation or carried away in the fluid (air flow) by convection. In effect, the block is thermally coupled to the tunnel walls and to the air passing through the tunnel.

The total convective resistance in the network is equal to the sum of the convective resistances from the surface of the block to the fluid (Rconvcf), and from the fluid to the walls of the tunnel (Rconvfw). It is defined in Equation 1 below.

Rconv = Rconvcf+ Rconvfw (1)

The total conductive resistance is equal to the sum of the through-plane conduction for the block and the spreading resistance or in-plane conduction through the block. This is defined in Equation 2:

Rcond = Rcond + Rsp (2)

The radiation resistance (Rrad) is defined from the surface of the block to the walls of the tunnel.

In part 2 we’ll explore the coupling effect of radiation, conduction and convection.

Got a question on part 2 already or maybe part 1 from today? Contact us and lets see how ATS thermal engineers can make your next project a success!  Email us at ats-hq@qats.com , call us at 781-769-2800 or visit our Design Services

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References

1. CFdesign® Software, Blue Ridge Numerics, Inc.