Tag Archives: engineering

How to Mix Water and Air for Electronics Cooling (part 2 of 2)

In part 1 of our 2 part series on Hybrid Liquid/Air Cooling Systems and  how you can use them to cool some of your toughest thermal challenges, we covered the air portion of our system, here in part 2 we’ll consider the liquid portion and how to integrate them.

Unless one is using a natural body of water for coolant, or operating in space, at the end of every cooling solution there is a liquid to air heat exchanger, when the generated heat is transferred.

Typical Liquid Cooling SystemFigure 2. Typical Liquid Cooling System

As shown in Figure 2, a conventional liquid cooling system consists of a cold plate, external plumbing, and a heat exchanger. The advantage of this type of system is to increase flexibility in packaging by allowing remote placement of the heat exchanger. Remote mounting does introduce disadvantages, as the external plumbing increases pressure drop throughout the system, which increases the required pumping power. The piping itself is a potential source of leakage at the plumbed junctions, as is the permeability of the piping system.

To appreciate the importance of spreading resistance, let’s assume a high heat flux component generates 500 W/cm2 in a 10 x 10 mm package. The size of the copper heat sink used is 80 x 80 mm, with a base thickness of 5 mm. The spreading resistance alone for this case is 0.14oC/W. Even if the thermal resistance of the heat sink is 0 (thermodynamically impossible), the temperature rise of the component above ambient is 70oC. Concidering an ambient of 50oC, the above proposed heat sink will not cool the device adequately to prevent it from failure. The above example shows how important the spreading resistance is, especially in high heat flux applications.

There are many methods for reducing the thermal resistance. Among these methods are:

• Use of a high conductivity material as the base plate of the heat sink to reduce thermal resistance. These materials include aluminum (k = 180 W/mK), copper (k = 380 W/mK), and CVD diamond (k = 2000 W/mK).
• Using passive, high conductivity devices, like heat pipes, thermosyphons, or vapor chambers
• Use of thermoelectric devices whose heat spreader structures consist simply of an electrically conductive heat sink with an applied external electric potential.

This induces a Thomson Effect, and provides heat transfer through the device. Of the above, the vapor chamber has been the most desirable method. Basically, a vapor chamber works like a heat pipe. The heat transfer to the base vaporizes the liquid and reaches the cold section of the chamber. The vapor condenses and returns back to the base with the help of the wick structure. But, even though the spreading resistance of a vapor chamber is theoretically appealing, it has been found that, under certain conditions, a solid copper spreader can have lower thermal spreading resistance [2,3,4].

comparison of solid copper heat sink and vapor chamberFigure 3. Comparison of a Solid Copper Heat Sink and a Vapor Chamber

In order to alleviate spreading resistance issues, Advanced Thermal Solutions, Inc. (ATS) has developed a new technology, the Forced Thermal Spreader, or FTS [5]. A schematic picture of the FTS design is shown in Figure 4.igue

Structure of Advanced Thermal Solutions Thermal SpreadersFigure 4. Structure of Advanced Thermal Solutions’ Forced Thermal Spreader

The FTS design is a combination of mini- and microchannels.

The heat transfer coefficient in the micro-channels is about 500,000 W/m2oC. This high heat transfer coefficient creates a very small resistance between the heat source and the incoming liquid. The heat is then transferred to the bottom of the heat sink with the minifins attached to the top plate. Heat then transfers from the top plate to the ambient through the heat sink. The experimental test set up is shown in figure 5.

An experiment with an FTS was performed using an HFC-100 test equipment developed by ATS. The HFC-100 is a computerized data acquisition system capable of controlling up to 1KW of heat generated on a 1 cm2 simulated chip. This instrument is capable of ramping the heat with specified dwell times. The size of the FTS was 100 x 120 mm. Table 1 shows the experimental data from tests performed at power levels of 100, 200, and 300 W/cm2. The results show that the data is independent of the power. The experiment was conducted several times at each power level to ensure data repeatability.

Forced Thermal Spreader Test Set UpFigure 5. Forced Thermal Spreader Test Setup

Experimental Data  for the Thermal Resistance of the FTSTable 1b: Experimental Data for the Thermal Resistance of the Forced Thermal Spreader

The thermal resistance from the FTS is around 0.137oC/W on average. The water flow rate is set as 1.0~1.2 L/min, and it was observed that increasing the flow rate beyond 0.3 L/min had no noticeable change in temperature. One very noticeable phenomenon is the interfacial resistance. Because the heat source is small, 1 cm2, this resistance value is significant even under best contact conditions. It is expected that this number would be much higher in a real device application. For proof, a second experiment was carried out. In this experiment the heat source was made part of the FTS, which eliminated the spreading resistance.

Table 2 shows the data for this case. The thermal resistance of the FTS is about 0.14 to 0.15oC/W.

 

Experimental Data for the Thermal Resistance of the FTS, With No Interfacial ResistanceTable 2. Experimental Data for the Thermal Resistance of the FTS, With No Interfacial Resistance

The importance of the above numbers shows itself when calculating the spreading resistance.  For a 100mm x 120mm base size copper heat sink, and a 10mm x 10mm heat source, the spreading resistance is about 0.12 degree C/W.  To achieve the total resistance of 0.14 degree C/W with a copper heat sink, we need a heat sink resistance of 0.02 degree C/W, which is not feasible using just air.   To show this, we can look at the thermal resistance of a heat sink:

thermal resistance of a heat sink

Where Cp is the fluid heat capacitance, h is heat transfer coefficient, and is the mass flow rate. Assuming a heat transfer coefficient of infinity (thermodynamically impossible):

coefficient of infinity

To reach a resistance of 0.02oC/W, a velocity of 25 m/sec is required for a heat sink that is 100 mm wide and 20 mm high. In a typical systems environment, the h value is about 100-200 W/m2oC for very high speed flows. Assuming this heat sink has 65 fins at 1 mm spacing, the convective resistance will be around 0.02oC/W, but withan enormous amount of pressure drop of about 20 kpa (80’ H2O). This is clearly an impractical situation.

The data presented in this article shows that an effective hybrid system (liquid-assisted air cooling) has enormous capability for high heat flux applications. However the reader should not forget that the interfacial thermal resistance will always exist unless the interface is eliminated by integrating the cooling and the package systems. Equally important is the reliability of the cooling loops, as well as active control of the device functionality should the cooling system fail.

Got a question on part 1 or 2?  Contact us and let’s see how ATS’s 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. Soul, C., The Benefits of Liquid Cooling over Air Cooling for Power Electronics, www.icepak.com/prod/icepak/solutions/articles/iceart19.htm
2. Sauciu, I., Chrysler, G., Mahajan, R., Spreading in the Heat Sink Base: Phase Change Systems or Solid Metals?, IEEE Transactionson Components and Packaging Technologies, Vol 23, No.4., 2002.
3. Jeung, S., Quantitative Thermal Performance Evaluation of a Cost-effective Vapor Chamber Heat Sink Containing a Metaletched Microwick Structure for Advanced Microprocessor Cooling, Sensors and Actuators, A: Physical Volume 121, Issue 2, 2005.
4. Wei, J., Cha, A., Copeland, D., Measurement of Vapor Chamber Performance, IEEE SEMI-THERM Symposium, 2003.
5. Xiong, D., Azar, K., Tavossoli, B., Experimental Study on a Hybrid Liquid/Air Cooling System, IEEE, Semiconductor Thermal Measurement
and Management Symposium 2006.

 

How to Mix Water and Air for Electronics Cooling (part 1 of 2)

As electronics become faster and more powerful, thermal management solutions must evolve to deal with the increasing heat loads. Simply increasing the size of a heat sink, or adding a fan, was once enough to provide the required increased performance. But, while air cooling remains the dominant method of thermal management in the electronics industry, there are applications where traditional air cooling is not sufficient. These are bound to increase in frequency in the near future.   This week we have a two part series on Hybrid Liquid/Air Cooling Systems and  how you can use them to cool some of your toughest thermal challenges.

Today, liquid cooling is being used in a steadily increasing number of thermal applications. Desktops, servers, and even laptops are all potential products for such cooling methods. The attractiveness of liquid is its density and specific heat over air (Table 1). However, these material properties can be misleading if compared side by side.

Physical Properties of Air and Water
Table 1: Physical Properties of Air and Water[1]

In electronics, there is no basis for comparison between air and liquid for cooling. The term liquid cooling is itself misleading, as air is the final coolant in nearly all applications. The role of the liquid is not as a coolant, but as an active thermal transport vehicle. The main benefit from using liquid is the reduced thermal resistance from the heat source to the air cooled system peripheries. This is due to forced convection replacing pure conduction as the heat transport method, where the heat is delivered to the convective surfaces.

In general, all electronics cooling systems can be divided into three important components as shown in Figure 1:

  • Interface
  • Heat spreading
  • Ambient heat exchanger

Diagram of an Electronics Cooling SystemFigure 1: Typical Electronics Cooling System used in Thermal Management

The Interface refers to the junction between the component and heat sink or cold-plate. This resistance is typically minimized with a high performance grease or phase-change material, and is the same in both liquid and air cooling systems.

The spreading resistance in a thermal solution can be described as the transport of heat from the component to the cooling surfaces that are in contact with the ambient air. This is the only part of a cooling system that greatly differs from air to liquid cooling. With a typical air cooled heat sink, the thermal spreading is done at the base of the heat sink through pure conduction. When using liquid, the spreading is done by the movement of the liquid in a loop from the cold-plate to heat exchanger by mass transport, i.e. coolant.

The final part of an electronics cooling system is the ambient heat exchanger. For air cooling, this part is the heat sink fins, and for liquid cooling is the radiator fins. Both systems work in the same way, by using extended surfaces (fins) to transfer heat into the ambient air through convection.

In part 2 we’ll cover the liquid part of our article and more about integrating for a best in class solution!

Got a question on part 2 already or maybe part 1 from today?  Contact us and let’s see how ATS’s 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. Soul, C., The Benefits of Liquid Cooling over Air Cooling for Power Electronics, www.icepak.com/prod/icepak/solutions/articles/iceart19.htm
2. Sauciu, I., Chrysler, G., Mahajan, R., Spreading in the Heat Sink Base: Phase Change Systems or Solid Metals?, IEEE Transactionson Components and Packaging Technologies, Vol 23, No.4., 2002.
3. Jeung, S., Quantitative Thermal Performance Evaluation of a Cost-effective Vapor Chamber Heat Sink Containing a Metaletched Microwick Structure for Advanced Microprocessor Cooling, Sensors and Actuators, A: Physical Volume 121, Issue 2, 2005.
4. Wei, J., Cha, A., Copeland, D., Measurement of Vapor Chamber Performance, IEEE SEMI-THERM Symposium, 2003.
5. Xiong, D., Azar, K., Tavossoli, B., Experimental Study on a Hybrid Liquid/Air Cooling System, IEEE, Semiconductor Thermal Measurement
and Management Symposium 2006.

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, let’s see how ATS’s 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.

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 block’s 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 let’s see how ATS’s 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.

 

ATS New video on ATVS-2020 demos a great thermal analysis instrument to design your next heat sink

We’ve just finished our latest video, demoing our ATVS-2020 Automatic Temperature & Velocity Scanner.  It’s a great tool, useful for a whole variety of  research and engineering work.  We primarily developed it because our team  needed an accurate and portable temperature and velocity scanner to do our our own thermal analysis of system chassis for heat sink engineering and thermal management development.   After using it for a bit, we decided to offer it up on the market and it’s been a great tool for engineers doing thermal analysis, research and engineering.

One of the great things about our ATVS-2020 is that it includes a terrific application called stageVIEW.  stageVIEW,  built on National Instruments LabVIEW, actually automates your entire test process.  This includes varying the test parameters and collecting data.  If you haven’t seen a demo,  you owe it to yourself to take a look.

The icing on the cake for our ATVS-2020 is our Candlestick Sensor.   The genesis of our Candlestick Sensor was simple:  we kept breaking standard temperature and velocity sensors.    Standard temperature and velocity measurement sensors are very brittle and when you break alot of them the cost adds up.  So, we had to come up with a solution and the Candlestick Sensor was born.  It’s flexible, doesn’t break AND it measure both air temperature and air velocity.

Here’s the video on our ATVS-2020: