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Quench Pit Monitoring with Thermal Imaging

Quench Pit Monitoring Application Using Thermal Imaging

Overview Quench Pit Monitoring System

Heat treating is used in metal manufacturing to alter the chemical and physical properties of the resulting metal parts. Careful application of a specific sequence of heating and cooling cycles for pre-determined time intervals enables metallurgists to control the hardness or softness of the resulting parts.

Maintaining tight control over heating and quenching sequences is very important to companies that manufacture wear parts for industrial applications. By controlling heating and cooling cycles, manufacturers can regulate the relative hardness of machine components, making easily replaced “wear components” softer, while critical mechanical parts can be harder. Wear parts help to prolong the life of machines, and reduce service and maintenance costs in the field.

quench pit monitoring

Figure 1: Parts above the Quench Pit following a cooling cycle

FLIR integration partner MoviTHERM (Irvine, CA) was approached by a prominent manufacturer of wear parts to design and deploy a thermal imaging system to inspect parts immediately following a critical quenching process.

Process Sequence

The parts to be inspected are first heated in a kiln to temperatures approaching 2,000 °F. After heating, the parts are transferred to a liquid cooling chamber or “Quench Pit”, for quenching. After some time has elapsed, the parts are removed from the cooling chamber, and the temperatures of the parts are measured.

A FLIR A310f thermal camera captures an image. Hot spots in the image are examined to see if additional cooling cycles will be necessary to bring all parts below a pre-defined temperature limit. The critical process components are depicted in Figure 2.

quench pit monitoring process

Figure 2: Key System Components

quench pit monitoring parts in thermal

Figure 3: Thermal Image of Hot Parts

Key Components of the Inspection System

The inspection system hardware is depicted in Figures 4 and 5.

quench pit monitoring solution

Figure 4: Photo of System Components

quench pit monitoring solution

Figure 5: Control System Hardware Overview

FLIR A310f Thermal Camera Specifications

That Camera used in this Quench Pit Monitoring System has:

  • Environmental housing with specifications to IP66
  • 45° Lens
  • High sensitivity to < 50 mK
  • 16 bit image resolution
  • 100Mb Ethernet
  • PoE (Power over Ethernet)

Software User Interface

The system is controlled via a touchscreen mounted on the front face of the electrical panel. The operator configures the inspection at the start of the sequence, and the Inspection System tracks the motion of the parts into and out of the cooling chamber.

quench pit monitoring

Figure 6 shows the HMI screen layout for the Inspection Results Screen.

The most prominent item in this screen image is the purple and orange Thermal Image on the left side of the panel. The FLIR A310f camera passes an image to the Analysis PC image at the completion of the quench cycle. The brighter regions in the image reflect higher temperatures, with the whitest areas being the hottest. Black areas are the coolest, with purple and eventually orange areas representing increasing temperatures from 80°F to 140°F , as reflected in the and vertical legend in the left side of the thermal image. In this instance, the parts are still above the target temperature range, so the operator can repeat the quench cycle by selecting the Looping Arrow button in the lower right-hand corner of the touch-enabled screen.

2024-08-16T17:25:59-07:00Thursday, March 21, 2024|Blog|

Machine Condition Monitoring for Rotating Machinery

Machine Condition Monitoring Using Infrared Cameras

At the pace of modern business today, no one can afford unplanned downtime and costly outages. Cloud-based machine condition monitoring is helping facilities avert problems before they happen. By connecting various sensing technologies with the internet of things (IoT) and moving condition monitoring software to the cloud, maintenance professionals can easily and readily monitor machinery and rotating equipment in real time from any location.

In this article, we discuss how cloud-based condition monitoring using infrared thermography improves the situational awareness of asset health. Thus, making predictive maintenance more efficient and effective, saving companies time and money.

machine condition monitoring with thermal camera

Machine Condition Monitoring Using Thermal Imaging

Preventative, Predictive, & Reactive Maintenance

The sweet spot for a maintenance program falls between the “degradation start” point and the “potential failure” point of a machine’s life (see chart below). Work performed on a mechanical piece of equipment during the “normal state” period might be effective for asset health and facility uptime, producing the desired outcome. However, it is less efficient because maintenance resources are deployed on equipment that may not necessarily require upkeep or repair. Any work or investment in healthy machines in the “normal state” produces a certain amount of waste.

Alternatively, maintenance efforts and costs become reactive if the machine asset condition is allowed to degrade beyond the “potential failure” point. In this stage, maintenance professionals find themselves chasing problems with machine performance severely compromised and facility downtime highly probable. Maintenance costs in this phase can accelerate rapidly with additional company losses due to lost output and production.

Maintenance Modes, Asset Condition vs Time to Failure

Maintenance Modes, Asset Condition vs Time to Failure

Identifying equipment degradation at the earliest stage beyond the “normal state” is optimal for predictive maintenance. Maintenance professionals can be alerted at the earliest signs of machine failure by monitoring asset conditions with real-time data from oil analysis, ultrasound, vibration, and thermal imaging sensing.

By predicting when machine failure may occur, condition based maintenance can be carried out with machine repairs made according to the priority of equipment needs. Maintenance and repair costs can be optimized by eliminating rush orders for parts and conducting services during planned outages and turnarounds.

Thermal Imaging

Thermal imaging is one of the four modalities used in condition based monitoring. Thermal imaging is a proven and effective way to monitor equipment health and detect potential failure points before a failure can occur. Critical in-service health and wear characteristics of electrical and mechanical equipment can be assessed using thermal imaging. Longitudinal temperature data is valuable to predictive maintenance programs.

Thermal imaging is perhaps the easiest non-contact temperature measurement method available. Monitoring mechanical components such as motors, bearings, heat exchangers, cooling fans, exhaust vents, pipes, and more for “hot spots” can alert of possible future fail points. In addition, thermal scans of electrical components, such as cables, wiring, terminals, and control panels, can quickly reveal problems. Examples of problems include load imbalance, current overload, loose wires, corroded terminals, or heat management issues.

Thermal imaging makes these otherwise invisible problems visible so corrective action can be taken before catastrophic failure. Deploying IR cameras to monitor critical equipment can be a very effective first line of defense against unexpected and unplanned downtime.

Thermal Image of Electric Motors

Thermal Image of Electric Motors

Thermal Image of Motors and Pumps

Thermal Image of Motors and Pumps

How do Infrared Cameras Work?

Infrared (IR) cameras operate on the heat transfer principle of radiation. The IR camera has a focal plane array of detector elements that sense infrared light from object surfaces. The radiation captured by the IR camera detector is digitized, converted to data, and displayed as a viewable image.

Calibrated IR cameras can report temperature measurements from specific spots, lines, and areas on live or recorded images. IR cameras are available in different wavebands, pixel resolutions, lens configurations, and communication protocols to meet various installation requirements.

IR cameras are available in fixed-mount and portable handheld configurations. Handheld IR cameras are battery powered with onboard recording capabilities. Inspectors will use handheld IR cameras to conduct routine mechanical and electrical equipment checks. The inspection results are uploaded to reporting software and compared over time. The inspector then looks for any changes in the thermal profile that could indicate a compromise in asset condition.

Fixed-mount IR cameras allow for real-time monitoring and are typically used for tracking critical assets. Camera imagery and data output are uploaded to a facility computer server or cloud-based condition monitoring software. Results are viewed in real-time with alarms and notifications available to inform key maintenance personnel when problems arise.

What is IoT (Internet of Things)?

The internet of things (IoT) refers to interconnected sensors, instruments, and other devices networked into software applications that use predictive analytics and artificial intelligence (AI). These connected networks create systems that monitor, collect, exchange, analyze, and deliver valuable insights into a system or process. IoT revolutionizes condition monitoring by using cloud computing to simplify integration, enhance system control, expand situational awareness, and improve end-user decision making.

IoT and Condition Monitoring

Condition monitoring of machines and rotating equipment is an area that realizes the benefits of thermal imaging when combined with IoT and a condition monitoring software. By connecting infrared cameras and other sensors, machine health can more readily be monitored and failures prevented. Using cloud-based software makes for easy set-up, configuring, and remote monitoring.

MoviTHERM iCM for Machine Condition Monitoring

MoviTHERM iCM is a cloud-based intelligent machine condition monitoring solution. The solution uses thermal imaging and other condition monitoring sensors to provide a holistic understanding of machine asset health. By leveraging IoT connectivity with cloud computing, iCM more efficiently monitors and alerts for potential machine and rotating equipment failure. Because the iCM condition monitoring software resides in the cloud, it has low installation and reduces maintenance costs.

Customized Reports and Notifications

MoviTHERM iCM incorporates a customized asset health reporting tool to keep key personnel automatically and routinely informed. Automated reports can include imagery, measurement trends, alarm status, and more. Report frequency and recipients are easily configured for delivery to the personnel responsible for machine maintenance.

The iCM condition notifications are programable and sent when measurement thresholds are breached, or the monitoring system’s health is compromised. Communication options for notifications include voice calls, texts, and emails to establish quick and effective awareness. Notifications can be sent to select groups or individuals with links to dashboards, maps, and custom views.

Dashboards and Views

MoviTHERM iCM dashboards are an effective tool for quick condition evaluation of all monitored assets. Dashboards are customizable to display imagery and sensor measurements for any connected imager and sensor. Sensor alarm and system health status are readily visible with sensor measurement trend charts. All dashboard data is exportable and easily integrated into popular CMMS (computerized maintenance management system) software platforms.

MoviTHERM iCM views are custom displays that show facility schematics, maps, or overhead photos with sensor location, output, and real time condition. A green check or red cross quickly identifies an alarm condition for the shown sensor. Recorded visible or infrared images can be scrolled through to access historical conditions.

All dashboards and views are accessed with any internet connected smart device or computer. Additionally, all dashboards and views are readily shared by forwarding the associated web link. The access and sharing of dashboards and views is a significant advantage of the iCM cloud-based condition monitoring system.

MoviTHERM iCM Dashboard

MoviTHERM iCM Dashboard

MoviTHERM iCM Site Location View

MoviTHERM iCM Site Location View

Expandability and Scalability

Another critical advantage of MoviTHERM iCM is how easily it can be expanded and scaled. Once the cloud-based infrastructure is in place, additional sensors are added to the condition monitoring system with just a few clicks of the software application. Remote access via an internet connected device allows sensors to be added in the field at the sensor location.

MoviTHERM iCM can quickly scale to connect and monitor multiple plants and locations. This functionality allows facility managers to monitor multiple locations from a central monitoring and alarming dashboard. Understanding the situation at all facilities allows for the efficient overall management of various systems from a single control point.

Example iCM Dashboard View for Monitoring Multiple Facilities

Example iCM Dashboard View for Monitoring Multiple Facilities

Lower Maintenance and Cost

Cloud-based condition monitoring systems are less expensive to install and maintain compared to traditional monitoring systems. Because the condition monitoring software application resides in the cloud, there is no need for a dedicated facility computer server.

Any potential for operating system software conflicts is eliminated as access to the software application only requires an internet connection. Users access the condition monitoring system anywhere and anytime with any internet connected device. And with the appropriate credentials, control and alarm settings can be modified remotely to optimize performance.

Example iCM Configuration

Example iCM Configuration for Machine Monitoring

Conclusion

The power of IoT combined with cloud technology makes for efficient data gathering and transmission, which leads to faster predictive maintenance strategies.

Infrared cameras are a good way to monitor machine conditions because they provide both temperature and thermal imaging information on the same screen. The data gathered from thermal imaging can be quickly evaluated and manually archived for later analysis by a technician.

MoviTHERM iCM is a powerful and affordable condition monitoring solution. Regardless of your equipment type or level of complexity, keeping an eye on all the threats to machine health is vital to extending the life of your equipment and monitoring degradation in real time. With access to thermal imaging, you’ve got one more layer of protection in your pocket for staying on top of any potential issues.

Buyer’s Guide for Condition Monitoring

Find All Your Answers in Our Guide

condition monitoring buyer's guide download
  • What types of sensors can I connect to the system?

  • How does the system keep my data safe from hackers?

  • Does the system alert of potential failures?

  • Does the system automatically save historical data?

  • Which type of system will save you money in the long run?

2024-08-16T17:26:09-07:00Thursday, March 21, 2024|Blog|

Early Fire Detection Enhances Safety

What is Early Fire Detection and Why is it Important?

Enhancing Fire Safety through Early Detection Systems

Fire incidents can have devastating consequences, causing loss of property, life, and damage to the environment. Early fire detection is crucial for preventing catastrophic outcomes, and industries are taking notice. Thermal imaging is emerging as a reliable technology for early fire detection, offering advantages over traditional smoke and heat detectors.

Several industries, including oil and gas, power plants, and manufacturing, can benefit significantly from this technology. In this article, we will compare different types of fire detection sensors, discuss their pros and cons, and explore how combining IoT technology with early fire detection systems can enhance fire safety.

What are the 4 types of fire detection?

There are four main types of fire detection devices: smoke detectors, heat detectors, flame detectors, and gas detectors. Depending on the type of device that is used, the detection timing and sensitivity may vary. Different sensors have varying levels of sensitivity when it comes to detecting fire. While some sensors can detect fires in their early stages, others can only detect them when they have spread significantly.

It is important to understand the relative detectability of each fire detection sensor at different stages of fire development. This will help facility managers choose the right sensor for their needs. The upcoming chart compares different fire detection devices at different stages of fire development. It also lists the corresponding damage levels.

Graph of fire progression, showing infrared cameras are the first to detect fire.

Graph of fire progression, showing infrared cameras are the first to detect fire.

Early Fire Detection and Infrared (IR) Camera Systems

IR camera systems are the first to alert before a fire develops. They see a warming-up of material early in the fire development process before forming smoke particles or flames. IR cameras operate on the heat transfer principle of radiation.

In recent years, early fire detection systems that use infrared cameras have become increasingly popular. By detecting early, infrared cameras have proved to be a valuable tool for fire prevention and safety. IR cameras give facility managers early warnings of a fire, allowing them to take action quickly and minimize damage.

Considering the Pros and Cons of Each Sensor

We have discussed the different types of devices available in the market. Now, we will discuss the pros and cons of each fire sensor and how they work.

Some sensors have higher sensitivity, allowing them to detect fires earlier. Others may be more reliable in detecting certain types of fires. By the end of this section, you will know which sensors are the most suitable for your facility.

Infrared Cameras

Infrared cameras detect fire by using the heat transfer principle of radiation. These cameras have a focal plane array of detector elements that sense infrared light radiated from object surfaces.

As a fire develops, the temperature of the surrounding materials increases. This generates a heat signature that can be detected by infrared cameras. This heat signature can be an early indication of a fire’s presence, even before smoke is visible.

Fire detection system being displayed on a big monitor in control room. In the monitor display you see thermal images of thermal monitoring.

Monitor displaying thermal images of a pile being monitored by an early fire detection system.

PROs: Can detect and alert at the earliest stages of potential fire development. Are accurate and can precisely pinpoint the position of a hotpot.

CONs: Can only detect surface temperatures and require a clear line of sight to the target of interest.

Aspiration Smoke Detectors (ASD)

ASDs draw air samples to the detector using a sampling pipe with multiple holes. The air sample is filtered and processed by a sensitive laser detection unit. If smoke particles are detected, the system’s alarm is triggered. ASDs are more precise than passive smoke detectors and typically incorporate multiple alarm levels.

smoke detector

Smoke Detector

PROs: Flexible installation options due to active sampling. Detect smoke activity in large open spaces where smoke dilution can occur. Incorporates integrity monitoring and alerts when the ability to detect smoke is compromised.

CONs: Poor performance in dirty environments where fouling can occur.

Smoke Detectors

An ionization smoke detector operates by utilizing two metal plates with a small amount of radioactive material positioned between them. This material causes the air in the detector to become charged with electrically charged particles called ions. If smoke enters the detector, it disrupts the flow of ions.. This reduces the electrical current between the plates and sets off the alarm.

PROs: High responsiveness to the flaming stage of fires.

CONs: More susceptible to giving false alarms from steam or dust particle

Photoelectric Smoke Detectors

In a photoelectric smoke alarm, a light is aimed into a sensing chamber but away from the sensor itself. When smoke enters the chamber, it causes the light to be reflected onto the sensor, activating the alarm.

PROs: More responsive to slow smoldering fires that emit larger particles. They are less susceptible to false alarms.

CONs: They are slower at responding to fast-forming fires.

Fire Sprinkler Systems

Fire sprinkler systems are strategically placed sprinkler heads with glass bulbs containing a glycerin-based liquid. Sprinkler systems detect a fire through rising temperatures. Sprinkler heads activate when the temperature at the head reaches 135 to 165 degrees Fahrenheit.

This causes the liquid inside the glass bulb to expand and break the glass, activating the sprinkler head. There are various liquid colors in these glass components, each indicating a different threshold of heat required to break the glass.

fire sprinkler

Fire Sprinkler

PROs: Detect fire and aid in extinguishing it. Only those sprinklers closest to the fire activate.

CONs: Detect late in the fire development process. Extensive installation effort.

Enhancing Fire Safety with IoT Technology

Combining IoT technology with early fire detection (EFD) systems can greatly enhance fire safety in various industries. These systems use sensors to detect fires at different stages of development and alert personnel through various communication channels. Communication options include voice calls, SMS, text, email, and push notifications. Connecting sensors that detect fires at different stages of development can help detect and prevent potential fires more effectively.

iEFD for Industrial Laundry example of system

Graphic illustrating a sample of MoviTHERM’s early fire detection solution.

In addition to improving fire detection, IoT EFD systems can also improve emergency planning. By using algorithms and analytics, these systems can quickly prepare better emergency plans. Analytics can provide the number of people in the building, where the fire is located, and how quickly it is spreading. Improved emergency planning can prevent congestion by guiding workers to different building locations for optimum routing.

Contact MoviTHERM today to learn how our early fire detection solutions can help enhance your fire safety measures.

20+ Page Guide to Fire Detection Systems

Find All Your Answers in Our Guide

Infrared Non-destructive Testing Guide
  • Find a reliable fire detection system.
  • Save money in the long run.

  • Know the must-have features.
  • Find a system that adapts to your business needs.

  • Understand the importance of safety and security.
2024-08-16T17:29:06-07:00Thursday, March 21, 2024|Blog|

What is NETD in a Thermal Camera?

NETD in a Thermal Camera

NETD explained

You may come across the expression or specification of “NETD” when you look at the technical details of a thermal camera. The expression stands for “Noise Equivalent Temperature Difference”. It is a measure for how well a thermal imaging detector is able to distinguish between very small differences in thermal radiation in the image. NETD is typically being expressed in milli-Kelvin (mK). It is also sometimes referred to as “Thermal Contrast”. When the noise is equivalent to the smallest measurable temperature difference, the detector has reached its limit of its ability to resolve a useful thermal signal. The more noise there is, the higher the NETD value of the detector.

Typical values for uncooled, micro-bolometer detector thermal cameras are on the order of 45 mK. Scientific cameras with photon based and cryogenically cooled detectors can achieve NETD values of about 18 mK. The noise measurement value should be specified at a particular object temperature, as this impacts the measurement. Example: NETD @ 30C : 60 mK

How is NETD being measured?

In order to measure the noise equivalent temperature difference of a detector, the camera must be pointed at a temperature controlled black body. The black body needs to stabilize before starting the measurement. The noise equivalent temperature difference is then being measured at a specific temperature. It is not a single snapshot measurement, but rather a temporal measurement of noise.

The image on the left shows a noisy thermal image that the camera produces when looking at a very uniform black body during the measurement. The image on the right shows a histogram of all pixel values taken from several images over time. It is a temporal distribution of noise at that temperature. The NETD value is the standard deviation of that histogram (STDEV) converted into mK.

How does NETD affect the measurement?

The images below show the same scene recorded by two different cameras. One camera has an NETD of 60 mK and the second has value of 80 mK. The areas in the image with very low temperature show significantly more noise in the image taken with the 80 mK camera. 20 mK difference doesn’t seem like much, but it has a potentially huge impact on the image quality and measurement accuracy.

NETD thermal image comparison

What affects NETD?

Several factors can affect NETD. Thermal cameras sometimes come with more than one calibrated temperature measurement range. The noise reading can vary based on the selected range and also the object temperature. As long as there is significant thermal contrast in the image and the temperature of interest is a lot higher than the background temperature, then this won’t affect the measurement accuracy much. The noise level can also be affected by the detector and/or camera temperature. If the camera is exposed to a high ambient temperature, the system noise may increase. This depends on how well the camera is internally stabilized. The effects of this internal temperature drift can be observed in between non-uniformity calibrations or ‘NUCs’, which can be several minutes apart. Another variable that can affect NETD is the #f-stop of the lens. The #f-stop or aperture of the lens determines how my thermal radiation reaches the detector. Generally, a lower #f-stop will lead to a better noise value.

Do you have more questions? Are you working on an application that might benefit from thermal imaging? Let us know! Chat with us! Contact us to talk with an engineer!

2024-08-16T17:29:15-07:00Thursday, March 21, 2024|Blog|

Semiconductor Failure Analysis Using Thermal Imaging

Semiconductor Failure Analysis Using Infrared NDT

Solar Cell Lock In Electroluminescence NDT Solutions

MoviTHERM’s Semi-CHECK solutions allows the detection of shorts and other defects in semiconductors. This system uses a FLIR Thermal camera with microscopic lens attachment in order to provide the correct magnification. Lockin Thermography allows to detect defects with nano-watt to micro-watt signatures.

More info about MoviTHERM Semi-Check

Download Our Starter Guide

For Infrared NDT Systems

Infrared Non-destructive Testing Guide
  • Learn how Infrared NDT works

  • Learn what type of defects you can find

  • Learn how large of an area you can inspect

  • Learn how this method compliments UT inspections

  • Learn how to save valuable inspection time

2024-08-16T17:29:25-07:00Thursday, March 21, 2024|Blog|

Solar Cell Lockin Electroluminescence

Solar Cell Lockin Electroluminescence Using Infrared NDT

Solar Cell Lock In Electroluminescence NDT Solutions

MoviTHERM’s Solar-CHECK solution allows for inspection of solar cells. This particular method examines the electroluminescense when using electrical excitation of the cell.

Download Our Starter Guide

For Infrared NDT Systems

Infrared Non-destructive Testing Guide
  • Learn how Infrared NDT works

  • Learn what type of defects you can find

  • Learn how large of an area you can inspect

  • Learn how this method compliments UT inspections

  • Learn how to save valuable inspection time

2024-08-16T17:29:36-07:00Thursday, March 21, 2024|Blog|

What is Lock-In Thermography?

Lock-In Thermography NDT Technique

The principle of lock-in thermography is based on the application of a periodic input energy wave (i.e. thermal emitter, ultrasound, microwave, eddy current, flash or xenon lamp, halogen lamp, or laser) to the surface of the object being examined and analyzing the resulting local temperatures on the surface of the object.

When the input energy wave penetrates the object’s surface, is it absorbed and phase shifted. When the input wave reaches areas within the object where the thermophysical properties are not homogeneous in relation to the surrounding material, (i.e. at delaminations or inclusions), the input wave is partially reflected.

The reflected portion of the wave interferes with the incoming input wave at the surface of the object, causing an interference pattern in the local surface temperature, which oscillates at the same frequency as the thermal wave.

The internal structure of the object being examined can then be derived by evaluating the phase shift of the local surface temperatures in relation to the input energy wave. The ability to derive internal thermophysical inconsistencies within the object, however, requires that the input energy source be used at an optimal frequency, which depends on both the thermophysical characteristics of the object as well as its thickness.

Lock-In Thermography

The principle measurement setup is shown here.

MoviTHERM Lock-In Thermography NDT Solution

MoviTHERM Lockin Thermography Non-Destructive Test System. This system is a Lockin Thermography System used for defect detection in materials, such as composites, metals and non-metals. Lockin Thermography allows the detection of some very weak signals even below the noise floor of the camera in the micro-Kelvin range. This ability makes this method the perfect candidate for locating tough to find material defects.

In this video we explain the application of the Lock-In Thermography method using a FLIR camera and an irNDT system.

Download Our Starter Guide

For Infrared NDT Systems

Infrared Non-destructive Testing Guide
  • Learn how Infrared NDT works

  • Learn what type of defects you can find

  • Learn how large of an area you can inspect

  • Learn how this method compliments UT inspections

  • Learn how to save valuable inspection time

2024-08-16T17:29:45-07:00Thursday, March 21, 2024|Blog|

Solar Cell Inspection Using Thermal Imaging

Solar Cell Inspection Using Infrared NDT

MoviTHERM’s Solar-CHECK solution uses lockin thermography to inspect for electrical shunts and other defects in thin-film as well as in thick-film photo-voltaic cells. The cells can either be excited electrically or optically.

Download Our Starter Guide

For Infrared NDT Systems

Infrared Non-destructive Testing Guide
  • Learn how Infrared NDT works

  • Learn what type of defects you can find

  • Learn how large of an area you can inspect

  • Learn how this method compliments UT inspections

  • Learn how to save valuable inspection time

2024-08-16T17:29:54-07:00Thursday, March 21, 2024|Blog|

Performing a Thermal Camera Calibration

How to Perform a Thermal Camera Calibration

Thermal Camera Calibration

We often get asked if the calibration of an infrared or thermal camera can be performed in the field, by the customer. While this question appears straight-forward, further clarification is necessary in order to avoid confusion. Some infrared cameras are inherently not temperature calibrated by the manufacturer. The purpose of these cameras is to simply distinguish between the hot and cold regions of a scene,  in relative terms. Typically, these types of cameras output a black and white or monochrome image for surveillance applications. We also refer to these applications as performing a qualitative inspection vs. a quantitative inspection. On the other hand, there are temperature calibrated, true thermography cameras, that are being used to perform absolute temperature measurements. These are calibrated at the factory and need to be re-calibrated from time to time. So, the question about calibration really becomes a two-part question. The first part is this: Is the camera a calibrated, thermography camera, or an uncalibrated IR camera? Assuming calibration is an option for your camera, then we can move on to the second part of the question

Can I (re-)calibrate a thermal camera myself?

The factory calibration of a thermal camera is usually good for up to one year. Depending on the purpose of the camera and your company policy on maintaining calibrations for equipment, you may have to account for getting your thermal camera re-calibrated. Unfortunately, this calibration can only be performed by the camera manufacturer.

There are several reasons for this. In order to calibrate a thermal camera, one must perform a multi-point calibration. In other words, multiple temperature samples, spanning the entire temperature range of the camera, need to be presented to the camera in succession. The camera detector, readout electronics, and lens will experience temperature drift due to heat dissipation during the calibration. This would create errors during the calibration that may exceed the specification of the camera. Using just one or two black bodies wouldn’t suffice, since the settling time of any black body would most likely exceed the time one should take for the calibration in the first place. In practice, manufacturers mitigate the potential issues by using an array of black bodies programmed at different temperature points across the desired temperature range of the camera. A robotic arm can then quickly move the camera from black body to black body, thus greatly reducing the time that the camera has to wait before calibrating the next temperature point.

The photo on the left shows a calibration laboratory designed for that purpose. In addition, the manufacturer has to save the calibration values in the non-volatile memory of the camera’s electronics. An end-user usually does not have access to that part of the camera. These are just some of the reasons why an end-user cannot perform a re-calibration of a thermography camera.

Can I add temperature calibration to an infrared camera?

Looking back to the first part of the question, suppose you have an uncalibrated infrared camera. What are your calibration options in that case? There is a significant cost difference between an infrared camera and a calibrated thermography camera. Hence, technology-savvy folks are often wondering, why they couldn’t just use a thermocouple and perform a two-point calibration. One point at the lower end of the temperature range and one at the upper temperature range. Then just map the intensity values of the camera to these two points and voila – we have a temperature calibrated camera. Well, in reality, it isn’t that simple.

Here is why:

First, as we have learned from the setup of the calibration laboratory, a multi-point calibration is necessary to get any sort of accuracy out of a camera. This is due to the non-linearity in the detector and possibly other parts of the electronics. A multi-point lookup table is required in combination with some complex curve fitting and some other secret sauce in order to extract accurate temperature readings from a thermal camera.

To make matters worse, there is also temperature drift. The detector experiences different temperatures, partially due to ambient temperature changes, partially due to heat dissipation of the camera electronics. The same is true for the lens as well as the readout electronics. All these constantly varying temperatures need to be measured and compensated for. One mechanism that performs this job is the ‘NUC’ flag. NUC stands for non-uniformity calibration. It is a miniature black body that regularly drops in front of the detector, making a clicking noise when activated. The camera assumes that this flag has a uniform temperature and corrects for any drift internally. This correction in turn also impacts the temperature measurement and its drift and stability.

A simpler infrared camera, that was never intended to measure absolute temperature, usually does not have all the provisions necessary to perform all these corrections. What you would end up with when trying to use this sort of camera as a temperature measuring device, is a very unstable, constantly drifting “guessing” device.

2024-08-30T16:05:03-07:00Thursday, March 21, 2024|Blog|

Manufacturing Tomorrow Publishes Article on Induction Seal vs Heat Seal

Our Article on Induction Seal vs Heat Seal Makes Headlines in Manufacturing Tomorrow

Manufacturing Tomorrow, a leading online publication covering the latest trends and technologies in the manufacturing industry, has published our article titled “Induction Seal vs Heat Seal: What’s the difference?“. The article compares and contrasts the two sealing methods commonly used in the packaging industry, providing insights into the pros and cons of each method.

With a focus on helping manufacturers make informed decisions when choosing between induction sealing and heat sealing, the article has garnered positive feedback from industry experts and professionals alike. We are thrilled to see our article featured on Manufacturing Tomorrow and look forward to continuing to provide valuable insights to the manufacturing community.

You can read the article on Manufacturing Tomorrow’s website.

thermal packages

2023-03-27T15:47:55-07:00Monday, March 27, 2023|News|
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