Category Archives: Thermal Analysis

Case Study: High-Powered Altera Stratix 10 FPGAs

Altera Stratix 10 FPGAs`

Advanced Thermal Solutions, Inc. engineers designed a solution to cool a board that contained high-powered Altera Stratix 10 FPGAs. (Advanced Thermal Solutions, Inc.)


Engineers at Advanced Thermal Solutions, Inc. were asked to test the layout of a PCB that was using Altera Stratix 10 FPGAs (field-programmable gate arrays) with fans on one side pulling air across the board. The client used ATS heat sinks on the original iteration of the PCB and wanted to ensure those heat sinks would provide the necessary cooling for this iteration as well.

Through a combination of analytical modeling and CFD simulations, ATS engineers determined that the heat sinks already being used would provide enough cooling for the more powerful components.

• Challenge: ATS conducted thermal analysis of a system with Altera Stratix 10 FPGA units when using ATS 1634-C2-R1 and ATS FPX06006025-C1-R0 heat sinks. Two of the FPGAs would be running at 90 watts and one at 40 watts and there were fans on one side of the PCB that would pull air across the board.

• Chip/Component: Altera Stratix 10 FPGAs

• Analysis: Analytical models and CFD simulations were run with ATS 1634-C2-R1 heat sinks and several other options, including copper and aluminum heat sinks with and without embedded heat pipes. CFD simulations also created fan curves for all six of the Mechtronics MD4028V fans being used.

• Test Data: The data showed that even with the additional power of the new chips that the original heat sinks would keep the case temperature below 80°C. The other heat sinks showed similar case temperatures mostly below 80°C as well. Fan curves showed that the fans were operating near the knee, which the client was notified about.

• Solution: ATS engineers recommended staying with the ATS 1634-C2-R1 heat sink because it was able to cool the high-powered FPGAs below the maximum case temperature. The ATS FPX06006025-C1-R0 was recommended for the lower power FPGA.

Altera Stratix 10 FPGAs

CFD simulation with the case temperatures of the three FPGA using the original ATS heat sinks.
(Advanced Thermal Solutions, Inc.)

• Net Result: The customer was able to continue using the same heat sinks that had worked on the prior iteration of the PCB.

For more information about Advanced Thermal Solutions, Inc. thermal management consulting and design services, visit www.qats.com or contact ATS at 781.769.2800 or [email protected].

Discussion of Thermal Solution for Stratix 10 FPGA

An Advanced Thermal Solutions, Inc. (ATS) client was planning on upgrading an existing board by adding Altera’s high-powered Stratix 10 FPGAs, with estimates of as many as 90 watts of power being dissipated by two of the components and 40 watts from a third. The client was using ATS heat sinks on the original iteration of the board and wanted ATS to test whether or not the same heat sinks would work with higher power demands.

In the end, the original heat sinks proved to be effective and lowered the case temperature below the required maximum. Through a combination of analytical modeling and CFD simulations, ATS was able to demonstrate that the heat sinks would be able to cool the new, more powerful components.

ATS Field Application Engineer Vineet Barot recently spoke with Marketing Director John O’Day and Marketing Communications Specialist Josh Perry about the process he undertook to meet the requirements of the client and to test the heat sinks under these new conditions.

JP: Thanks again for sitting down with us to talk about the project Vineet. What was the challenge that this client presented to us?
VB: They had a previous-generation PCB on which they were using ATS heat sinks, ATS 1634-C2-R1, and they wanted to know if they switched to the next-gen design with three Altera Stratix 10 FPGAs, two of them being relatively high-powered, could they still use the same heat sinks?

Stratix 10 FPGA

The board that was given to ATS engineers to determine whether the original ATS heat sinks would be effective with new, high-powered Stratix 10 FPGA from Altera. (Advanced Thermal Solutions, Inc.)

They don’t even know what the power of the FPGAs is exactly, but they gave us these parameters: 40°C ambient with the junction temperatures to be no more than 100°C. Even though the initial package is capable of going higher, they wanted this limit. That translates to a 90°C case temperature. You have the silicon chip, the actual component with the gates and everything, and you have a package that puts all that together and there’s typically a thermal path that it follows to the lid that has either metal or plastic. So, there’s some amount of temperature lost from the junction to the case.

The resistance is constant so you know for any given power what the max will be. The power that they wanted for FPGAs 1 and 2, which are down at the bottom, was 90 watts, again this is an estimate, and the third one was 40 watts.

JP: How did you get started working towards a solution?
VB: Immediately we tried to identify the worst-case scenario. Overall the board lay-out is pretty well done because you have nice, linear flow. The fans are relatively powerful, lots of good flow going through there. It’s a well-designed board and they wanted to know what we could do with it.

I said, let’s start with the heat sinks that you’re already using, which are the 1634s, and then go from there. Here are the fan specs. They wanted to use the most powerful fan here in this top curve here. This is flow rate versus pressure. The more pressure you have in front of a fan, the slower it can pump out the air and this is the curve that determines that.

Stratix 10 FPGA

Fan operating points on the board, determined by CFD simulations. (Advanced Thermal Solutions, Inc.)

This little area here is sometime called the knee of the fan curve. Let’s say we’re in this area, the flow rate and pressure is relatively linear, so if I increase my pressure, if I put my hand in front of the fan, the flow rate goes down. If I have no pressure, I have my maximum flow rate. If I increase my pressure then the flow rate goes down. What happens in this part, the same thing. In the knee, a slight increase in pressure, so from .59 to .63, reduces the flow rate quite a bit.

Stratix 10 FPGA

CFD simulations showed that the fans were operating in the “knee” where it is hard to judge the impact of pressure changes on flow rate and vice versa. (Advanced Thermal Solutions, Inc.)

So, for a 0.1 difference in flow rate (in cubic meters per second) it took 0.4 inches of water pressure difference, whereas here for a 0.1 difference in flow rate it only took a .04 increase in pressure. That’s why there’s a circle there. It’s a danger area because if you’re in that range it gets harder to predict what the flow will be because any pressure-change, any dust build-up, any change in estimated open area might change your flow rate.

The 1634 is what they were using previously. It’s a copper heat pipe, straight-fin, mounted with a hardware kit and a backing plate that they have. It’s a custom heat sink that we made for them and actually the next –gen, C2-R1, we also made for them for the previous-gen of their board, they originally wanted us to add heat pipes to this copper heat sink, but I took the latest version and said, let’s see what this one will do. For the third heat sink, I went and did some analytical modeling to see what kind of requirement would be needed and I chose one of our off-the-shelf pushPIN™ heat sinks to work because it was 40 watts.

JO: Is the push pin heat sink down flow from the 1634, so it’s getting preheated air?
VB: Yes. This is a pull system, so the air is going out towards the fans.

Stratix 10 FPGA

CFD simulations done with FloTherm, which uses a recto-linear grid. (Advanced Thermal Solutions, Inc.)

This is the CFD modeling that ATS thermal engineer Sridevi Iyengar did in FloTherm. This is a big board. There are a lot of different nodes, a lot of different cells and FloTherm uses recto-linear grids to avoid waviness. You can change the shape of the lines depending on where you need to be. Sri’s also really good at modeling. She was able to turn it around in a day.

Stratix 10 FPGA

Flow vectors at the cut plane, as determined by CFD simulations. (Advanced Thermal Solutions, Inc.)

These are the different fans and she pointed out what the different fan operating curves. Within this curve, she’s able to point out where the different fans are and she’s pointing out that fan 5 is operating around the knee. If you look at all the different fans they all operate around this are, which is not the best area to operate around. You want to operate down here so that you have a lot of flow. If you look at the case temperatures, remember the max was 90°C, we’re at 75°C. We’re 15°C below, 15° margin of error. This was a push pin heat sink on this one up here and 1634s on the high-powered FPGAs down here.

Stratix 10 FPGA

JP: Was there more analysis that you did before deciding the original heat sinks were the solution?
VB: I calculated analytical models using the flow and the fan operating curves from CFD because it’s relatively hard to predict what the flow is going to be. Using that flow and doing a thermal analysis using HSM (heat sink modeling tool), we were within five percent. What Sri simulated with FloTherm was if a copper heat sink with the heat pipe was working super well, let’s try copper without the heat pipe and you can see the temperature increased from 74° to 76°C here, still way under the case temperature. Aluminum with the heat pipe was 77°; aluminum without the heat pipe was 81°, so you’re still under.

Basically there were enough margins for error, so you could go to smaller fans because there’s some concern about operating in the knee region, or you can downgrade the heat sink if the customer wanted. We presented this and they were very happy with the results. They weren’t super worried about operating in the knee region because there’s going to be some other things that might shift the curve a little bit and they didn’t want to downgrade the heat sink because of the power being dissipated.

Stratix 10 FPGA

Final case temperatures determined by CFD simulations and backed up by analytical modeling. (Advanced Thermal Solutions, Inc.)

JO: What were some of the challenges in this design work that surprised you?
VB: The biggest challenges were translating their board into a board that’s workable for CFD. It’s tricky to simplify it without really removing all of the details. We had to decide what are the details that are important that we need to simulate. The single board computer and power supply, this relatively complex looking piece here with the heat sink, and we simplified that into one dummy heat sink to sort of see if it’s going to get too hot. It all comes with it, so we didn’t have to work on it.

The power supply is even harder, so I didn’t put it in there because I didn’t know what power it would be, didn’t know how hot it would be. I put a dummy component in there to make sure it doesn’t affect the air flow too much but that it does have some effect so you can see the pressure drop from it but thermally it’s not going to affect anything.

JO: It really shows that we know how to cool Stratix FPGAs from Altera, we have clear solutions for that both custom and off-the-shelf and that we understand how to model them in two different ways. We can model them with CFD and analytical modeling. We have pretty much a full complement of capabilities when dealing with this technology.

JP: Are there times when we want to create a TLB (thermal load board) or prototype and test this in a wind tunnel or in our lab?
VB: For the most part, customers will do that part themselves. They have the capability, they have the rack and if it’s a thing where they have the fans built into the rack then they can just test it. On a single individual heat sink basis, it’s not necessary because CFD and analytical modeling are so established. You want two independent solutions to make sure you’re in the right ballpark but it’s not something you’re too concerned that the result will be too far off of the theoretical. For another client, for example, we had to make load boards, but even then they did all the testing.

To learn more about Advanced Thermal Solutions, Inc. consulting services, visit https://www.qats.com/consulting or contact ATS at 781.769.2800 or [email protected].

Technical Discussion of ATS Telecom PCB solution

Last year, Advanced Thermal Solutions, Inc. (ATS) was brought in to assist a customer with finding a thermal solution for a PCB that was included in a data center rack being used in the telecommunications industry. The engineers needed to keep in consideration that the board’s two power-dissipating components were on opposite ends and the airflow across the board could be from either side.

Telecom PCB

The PCB layout that ATS engineer Vineet Barot was asked to design a thermal solution for included two components on opposite ends and airflow that could be coming from either direction. (Advanced Thermal Solutions, Inc.)

The original solution had been to use heat sinks embedded with heat pipes, but the client was looking for a more cost-effective and a more reliable solution. The client approached ATS and Field Application Engineer Vineet Barot examined the problem to find the best answer. Using analytical and CFD modeling, he was able to determine that ATS’ patented maxiFLOW™ heat sinks would provide the solution.

Vineet sat down with Marketing Director John O’Day and Marketing Communications Specialist Josh Perry to discuss the challenges that he faced in this project and the importance of using analytical modeling to back up the results of the CFD (computational fluid dynamics).

JP: Thanks for sitting down with us Vineet. How was the project presented to you by the client?
VB: They had a board that was unique – where it would be inserted into a rack, but it could be inserted in either direction. So, we faced a unique challenge because airflow could be from either side of the board. There were two components on either side of the board, so if airflow was coming from one side then component ‘A’ would get hot and from the other side then component ‘B’ would get hot. The other thing was that the customer, who is a very smart thermal engineer, had already set up everything and he was planning on using these heat sinks that had heat pipes embedded in them. The goal was to try and come up with a heat sink that would do the same thing, hopefully without requiring the heat pipes.

JO: Can we talk for a second about the application? You mentioned that airflow was from either side, the board was going to be used in a data center or a telecom node?
VB: It was for a telecom company.

JP: Was there a reason he didn’t want to use a heat pipe?
VB: I think probably cost and reliability. We use heat pipes embedded in the heat sinks too, so it’s not a something we never want to use, but the client wanted to throw that at us and see if we had alternatives.

JP: Can you take us through the board and the challenges that you saw?
VB: As you can see from this slide, there are four main components and two of the hottest ones are on the edge. Airflow can be from right to left or left to right, so which one would be the worst-case scenario?

Telecom PCB

JO: From right to left, I think?
VB: Correct. This one is a straightforward one to figure out because not only is the component smaller but the power is also higher. Even though [air] can go both ways, there’s a worst-case scenario.

This was the customer’s idea – a straight-fin heat sink with a heat pipe and he put one block of heat pipe in there instead of two or three heat pipes that would normally be embedded in there. You can clearly see what the goal was. You have a small component in here, you want to put a large heat sink over the top and you want to spread the heat throughout the base of the heat sink. All the other components are also occupied by straight-fin heat sinks.

JO: Okay, at this point in the analysis, this is the rough estimate of the problem that you face?
VB: This is a straightforward project in terms of problem definition, which can be a big issue sometimes. This time problem definition was clear because the customer had defined the exact heat sink that they wanted to use. It’s not a bad heat sink they just wanted an improvement, cost-wise, reliability-wise.

This is the G600, which is the air going from left to right. The two main components are represented here and we want to make sure that the junction temperatures that the CFD calculated is lower than the maximum junction temperatures allowed, which they were. These heat sinks work. As we always like to do at ATS, we like to have two, independent solutions to verify any problem. That was the CFD result but we also did the analytical modeling to see what these heat sinks are capable of and the percent difference from CFD was less than 10 percent. Twenty percent is the goal typically. If it’s less than 20 percent then you know you’re in the ballpark.

(Advanced Thermal Solutions, Inc.)

(Advanced Thermal Solutions, Inc.)

JO: Do you use a spreadsheet to do these analytical modeling?
VB: HSM, which is our heat sink modeling tool, and then for determining what velocity you have through the fins, the correct way of doing this is to come up with the flow pattern on your own. You go through all the formulas in the book and determine what the flow will be everywhere or figure out what CFD is giving you for the fan curve and check it with analytical modeling. You can look at pressure drop in there, look at the fan curve and see if you’re in the ballpark. You can also check other things in CFD, for example flow balance. Input the flow data into HSM and it will spit out what the thermal performance is for any given heat sink. HSM calculations are based on its internal formulas.

JO: We effectively have a proprietary internal tool. We’ve made a conscious decision to use it.
VB: To actually use it is unique. Not everybody would use it. A lot of people would skip this step and go straight to CFD. We use CFD too but we want to make sure that it’s on the right path.

JP: What do you see as the benefit of doing both analytical and CFD modeling?
VB: CFD, because it’s so easy to use, can be a tool that will lead you astray if you don’t check it because it’s very easy to use and the software can’t tell you if your results are accurate. If you do any calculation, you use a calculator. The calculator is never going to give you a wrong answer but just because you’re using a calculator doesn’t mean that you’re doing the math right. You want to have a secondary answer to verify that what you did is correct.

JP: What was the solution that you came up with for this particular challenge?
VB: We replaced these heat sinks with the heat pipe with maxiFLOW™, no heat pipe needed. One of the little tricks that I used was to off-set the heat sinks a little bit so that these fins are out here and so the airflow here would be kind of unobstructed. And I set this one a little lower so it would have some fins over here, not much, that would be unobstructed. The G600 configurations worked out with the junction temperatures being below what the maximum requirement was without having to use any heat pipes for the main components. There is also a note showing that one of the ancillary components was also below the max. Analytical modeling of that was within 10-11 percent.

The final PCB layout with maxiFLOW heat sinks covering the hottest components on both ends of the board. (Advanced Thermal Solutions, Inc.)

The final PCB layout with maxiFLOW heat sinks covering the hottest components on both ends of the board. (Advanced Thermal Solutions, Inc.)

As you noted, this was the worst-case scenario, going from right to left and you can see because it’s the worst-case scenario this tiny little component here that’s 14 watts that’s having all this pre-heated air going into it, it’s junction temperature was exactly at the maximum allowed. That’s not entirely great. We want to build in a little bit of margin but it was below what was needed.

The conclusion here was that maxiFLOW™ was able to provide enough cooling without needing to use the heat pipes and analytical calculation agreed to less than 20 percent. We would need to explore some alternate designs and strategies if we want to reduce the junction temperature even further because that close to the maximum temperature is uncomfortable. The other idea that we had was to switch the remaining heat sinks, the ones in the middle, which are straight fin, also to maxiFLOW™ to reduce pressure drop and to get more flow through this final component.

(Advanced Thermal Solutions, Inc.)

(Advanced Thermal Solutions, Inc.)

JP: If you have an idea like that, is it something that you broach with the customer?
VB: They really liked the result. If this was a project where the customer said, ‘Yep, we need this,’ then we would have said here’s the initial result and we have an additional strategy. At that point the customer would have said, ‘Yeah this is making us uncomfortable and we need to explore further’ or they would have said, ‘You know what? Fourteen watts is a max and I don’t know if we’ll ever go to 14 watts or the ambient we’re saying is 50°C but we don’t know that it will ever get to 50°C so the fact that you’re at max junction temperature at the worst-case scenario is okay by us.’

JP: Do you always test for the worst-case scenario?
VB: It’s always at the worst-case scenario. It’s always at the max power and maximum ambient temperature.

JP: Was this the first option that we came up with, using maxiFLOW™? Were there other options that we explored?
VB: Pretty much. The way that I approached it was doing the analytical first. You can generate 50 results from analytical modeling in an hour whereas it takes a day and a half for every CFD model – or longer. These numbers here were arrived at with analytical modeling; the height, the width, the top width, were all from analytical modeling, base thickness to measure spreading resistance, all of that was done on HSM and spreadsheets to say this will work.

JP: Do you find that people outside ATS aren’t doing analytical?
VB: No one is doing it, which is really bad because it’s very useful. It gives you a quick idea if it’s acceptable, if this solution is feasible.

To learn more about Advanced Thermal Solutions, Inc. (ATS) consulting services, visit https://www.qats.com/consulting or contact ATS at 781.769.2800 or [email protected].

Integral Modeling Is First Step for ATS Engineers

Integral Modeling

ATS engineers utilize integral or analytical modeling as a first step to solving thermal management issues in a design. [Advanced Thermal Solutions, Inc.]

In July, Future Facilities, a CAD software company, released the results of a survey it conducted of more than 350 electrical engineers (the link to the story is below) on how thermal management relates to reliability in electronics design. The survey coincided with the release of the company’s newest version of its thermal simulation software 6SigmaET.

Forty percent of the surveyed engineers believed thermal simulations for their projects to be too time-consuming or complex. Sixty-two percent of the engineers said that they would rather over-design a project than optimize thermal performance in the design process. In fact, 33 percent of the engineers called thermal issues an “irritation” and would prefer to not deal with them.

Tom Gregory, Product Manager at 6SigmaET, concluded, “It’s clear that a lot of engineers still don’t feel comfortable creating thermal simulations of their designs, a fact which is not being helped by the complex nature of most thermal simulation tools currently on the market.”

The engineers at Advanced Thermal Solutions, Inc. (ATS), a leading-edge engineering and manufacturing company focused on the thermal management of electronics, have long demonstrated that thermal solutions are a critical component to electronics design and that incorporating thermal management early in the design process will lead to a more cost-effective and reliable product.

By incorporating thermal management into the design process engineers optimize time between failure for individual components as well as the overall system. They actually reduce the cost of the system by limiting the need to overdesign it. Well thought out thermal solutions increase the likelihood that the final design will succeed and meet the specifications that were set out at the beginning of the project.

The survey results pointed to CFD analysis as the jumping off point for thermal solutions. But an easier and more efficient way to start the process is with an integral or analytical model, using pencil and paper or a spreadsheet.  In its 3-Core Design Process, ATS has utilized integral modeling as its first step to quickly and easily provide first order solutions and determine whether a design will succeed in meeting its thermal requirements.

Integral modeling, as Dr. Kaveh Azar, founder, President, and CEO of ATS, explained in a webinar (the link is below), utilizes standard equations based on the basic laws that govern thermal engineering: Conservation of Mass, Conservation of Momentum, Conservation of Energy, and Equation of State (i.e. the Ideal Gas Law).

Determining pressure, temperature, and air velocity differentials throughout a system and plugging those numbers into equations that most engineers will remember from undergraduate and graduate training will define the problem that will be faced in designing the system.

Dr. Azar said, “When I focus on integral modeling as I go through the process, you’ll see how easy it is and how broad-spectrumed the applications of these are and this is going to form the first foundation for any kind of analysis that we do in electronics cooling.”

Integral modeling is applicable to any domain and will give a substantiated, independent model to ensure the system is built within the proper parameters. Taking this early step saves time and money that may have been wasted on designing a system that ultimately would not work. Integral modeling also establishes parameters under which the system can be built to save costs after deployment.

Dr. Azar explained, “If we design it for the worst case scenario, we always have the adequate margins and as a result have lesser cost of deployment.”

It is a competitive market. Integral modeling is a quick first step to ensure thermal solutions are part of a design to save on component and system costs. A few quick calculations will have a major impact on the project’s bottom line.

The survey results from Future Facilities can be found at http://www.thermalnews.com/main/news/40-percent-of-electronics-engineers-find-thermal-simulation-too-complex-and-time-consuming.

For more information about the importance of integral modeling and practical applications, watch the webinar with Dr. Kaveh Azar of Advanced Thermal Solutions, Inc. below:

Does the process of thermal design for your next project seem daunting?  Contact us.  ATS offers a  free four-hour consultation in its lab.  Email ATS at [email protected].

Thermocouples: What, how and why to use them

What are Thermocouples?

With their versatility and ease of use, thermocouples are the most common means for  performing thermal analysis and temperature measurements. Data from such measurements can then be used to develop the right thermal management solution for any electronic system.

Thermocouples date back to 1821, when Thomas Seebeck, an Estonian scientist, found that when two dissimilar metals were connected at both ends, and one end was heated, there was a resulting flow of current in this thermoelectric circuit.

Today, this voltage is known as electromotive force (emf), and is a function of the junction temperature and composition of the two metals. The repeatable nature of emf, along with standardized material types and calibration curves has made thermocouples the devices of choice for many temperature measuring applications.

Despite simplicity of thermocouples, their emf voltage cannot be measured directly. As shown in Figure 1, using a voltage measuring device will create two additional thermocouple junctions, designated as J2 and J3 in the thermoelectric circuit.

thermocouples for thermal analysis article, part 1, feature on ats thermal blogFigure 1 Measuring junction voltage with a DMV[1]

The voltage reading then becomes a function of three temperatures, two of which are of no interest to the experimenter. To solve this problem, another junction needs to be created in series in the circuit, as shown in Figure 2.

thermocouples in thermal analysis on ats heat sink blogFigure 2 External Reference Junction [1]

This added junction is kept at a known temperature, 0°C, by submerging it in an ice bath, and is the reference temperature. Most commonly, a mixture of pure water and pure ice at 1 atmospheric pressure is used for the reference junction. Today, electronic measuring devices simulate an ice reference bath without the need for an actual ice bath. This is often referred to as cold junction compensation (CJC).

After adding the ice bath, there are still two junctions at the device terminals, but each of these consists of the same two materials. If held at the same temperature, their emf voltage will be the same and cancel each other out.

How thermocouples can be made

Thermocouples can be made of any two dissimilar metal wires, and their emf voltage depends on the composition of the chosen metals. However, what makes thermocouples so popular is that the materials used to construct them are restricted and their output emf’s have been standardized. Certain materials and combinations are better than the others, and some have basically become the standard for given temperature ranges. Table 1 lists some of the available thermocouples in the U.S. market.

Thermocouple Type Material Composition Temperature Range Uncertainity Color Code
T Cu vs. Constantan -250 to 350°C Greater of 1°C or 0.75% Blue-Red
K Chromel vs. Alumel -200 to 1250°C Greater of 2.2°C or 0.75% Yellow-Red
J Iron vs Constantan 0 to 750°C Greater of 2.2°C or 0.75% White-Red
R Platinum vs. Platinum-13% Rodium 0 to 1450°C Greater of 1.5°C or 0.25% None Established
S Platinum vs. Platinum-10% Rodium 0 to 1450°C Greater of 1.5°C or 0.25% None Established
C Tungsten 5% Rhenium vs. Tungsten 26% Rhenium 0 to 2320°C Greater of 4.5 °C to 425°C, 1% to 2320°C None Established
E Chromel vs. Constantan -200 to 900°C Greater of 1.7°C or 0.5% Purple-Red

Table 1: Different types of thermocouples

 

choosing the right Thermocouple

Selecting the right type of thermocouple for an application depends on many factors. These include sensitivity, temperature range, corrosion resistance, linearity of output voltage, and cost. For example, types R and S are relatively expensive and are not sensitive. However, they perform well at high temperatures up to 1768°C and are resistant to a number of corrosives. Type C thermocouples are suitable for higher temperature applications, but they are relatively expensive and corrode easily in an oxidizing environment. A Type T thermocouple is inexpensive and very sensitive, but will corrode at temperatures above 400°C. Type K is very popular for general use, relatively inexpensive, reasonably corrosion-resistant, and can be used at high temperatures, up to 1372°C. K-type thermocouples also have provide relatively linear output as compared to the other types [2].

The actual magnitude of the thermocouple emf is very small, and is in the order of few millivolts. At a given temperature, Type E has the highest output emf among common types, but this voltage is still measured in millivolts. The sensitivity of thermocouples is also relatively low. For instance, the voltage change per degree Fahrenheit from 38 to 93°C is only 36 microvolts. As a result, thermocouples require accurate and sensitive measuring devices and cannot be used for temperature changes of less than about 0.1°C. Traditionally, expensive voltage balancing potentiometers were used to measure emf. Today, a high quality digital voltmeter is sufficient [3].

The National Institute of Standards and Technology (NIST) has developed standard calibration curves for determining temperature based on the measured emf voltage. These data represent the output emf of thermocouples when an ice cold junction is used, and are incorporated in the memory of most DAQ systems. A Unfortunately, the temperature-voltage relationship of thermocouples is nonlinear and curve-fitted using polynomial functions. Obviously, the higher the order of the polynomial function, the higher the accuracy of temperature reading. The polynomial function should only be used inside the temperature range of the thermocouple type and should not be extrapolated. To save computational time, a lower order polynomial fit can be used for a smaller temperature range.

Thermocouple variation

Thermocouple wires come in variety of sizes. Usually, the higher the temperature, the heavier should be the wire. As the size increases, however, the time response to temperature change increases. Therefore, some compromise between response and life may be required.

Thermocouples can be connected electrically in series or in parallel. When connected in series, the combination is usually called a thermopile, (whereas there is no particular name for thermocouples connected in parallel). A wiring schematic of a thermopile combination is shown in Figure 3.

Thermocouples example diagram

Figure 3  Series-connected thermocouples forming a thermopile

The total output from n thermocouples will be equal to sum of the individual emf’s. The main purpose of using a thermopile rather than a single thermocouple is to obtain a more sensitive element. Parallel connection of thermocouples is used for averaging.

Have you got a question on thermocouples or their application? How about an interest in bringing ATS’s team of experienced thermal engineers into one of your projects?  Reach us by visiting ATS Contact Page  or email us at [email protected] or give us a call at 781-769-2800

References:

  1. Omega Temperature Handbook, Omega Engineering, Inc. 2nd edition.
  2. Wheeler, A. and Ganji, A., Introduction to Engineering Experimentation, Prentice Hall Inc., pp. 240-246, 1996.
  3. Beckwith, T., Marangoni, R., and Lienhard, J., Mechanical Measurements, Fifth Edition, Addison Wesley Longman, pp. 676-685, 1993.