Test Method for Determining the Dynamic Thermal Response of Direct Thermal Imaging Products--Atlantek Method

10.1520/f1405 ◽  
2020 ◽  
Author(s):  
Keyword(s):  
Thermal Imaging ◽  
Thermal Response ◽  
Test Method

Thermal Imaging Product Power-up: Metrology for Capturing Thermal Defects on Live Units Not Visible on Any Other Technique

2005 ◽  
Author(s):  
Nova T. Zamora ◽  
Kam Meng Chong ◽  
Ashish Gupta
Keyword(s):  
Thermal Imaging ◽  
Thermal Response ◽  
Recent Application ◽  
Ir Camera ◽  
Thermal Failure ◽  
Response Data ◽  
Startup Process ◽  
Customer Returns ◽  
Actual Computer ◽  
Detection Of Defects

Abstract This paper presented the recent application of die powerup in Thermal Imaging as applied to the detection of defects causing thermal failure on revenue products or units not being captured using other available techniques. Simulating the condition on an actual computer setup, the infrared (IR) camera should capture images simultaneously as the entire bootup process is being executed by the processor, thus revealing a series of images and thermal information on each and every step of the startup process. This metrology gives the failure analyst a better approach to acquire a set of information that substantiate in the conduct of rootcause analysis of thermal-related failure in revenue units, especially on customer returns. Defective units were intentionally engineered in order to collect the thermal response data and eventually come up with a plot of all known thermal-related defects.

Evaluation of Package Defects by Thermal Imaging Techniques

2002 ◽  
Author(s):  
Yongmei Liu ◽  
Rajen Dias
Keyword(s):  
Infrared Thermography ◽  
Thermal Imaging ◽  
High Speed ◽  
Imaging Techniques ◽  
Thermal Response ◽  
Analysis Tool ◽  
Nondestructive Analysis ◽  
Ir Camera ◽  
External Heating

Abstract Study presented here has shown that Infrared thermography has the potential to be a nondestructive analysis tool for evaluating package sublayer defects. Thermal imaging is achieved by applying pulsed external heating to the package surface and monitoring the surface thermal response as a function of time with a high-speed IR camera. Since the thermal response of the surface is affected by the defects such as voids and delamination below the package surface, the technique can be used to assist package defects detection and analysis.

Laser-induced thermal response and characterization of nanoparticles for cancer treatment using magnetic resonance thermal imaging

2007 ◽  
Vol 34 (7) ◽  
pp. 3102-3108 ◽  
Author(s):  
Andrew M. Elliott ◽  
R. Jason Stafford ◽  
Jon Schwartz ◽  
James Wang ◽  
Anil M. Shetty ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Cancer Treatment ◽  
Thermal Imaging ◽  
Thermal Response

Transient Thermal Response of Skin Tissue

2008 ◽  
Author(s):  
Muge Pirtini Cetingul ◽  
Cila Herman
Keyword(s):  
Temperature Distribution ◽  
Surface Temperature ◽  
Thermal Imaging ◽  
Imaging Techniques ◽  
Thermal Response ◽  
Sensitivity Study ◽  
Subsurface Structures ◽  
Surface Temperature Distribution ◽  
Transient Thermal ◽  
Transient Thermal Response

The increased availability of thermal imaging cameras has led to a growing interest in the application of infrared imaging techniques to the detection and identification of subsurface structures. These imaging techniques are based on the following principle: when a surface is heated or cooled, variations in the thermal properties of a structure located underneath the surface result in identifiable temperature contours on it. These contours are characteristic of the structure’s shape, depth, and its thermal properties. We study the use of the transient thermal response of skin layers to determine to which extent the surface temperature distribution reflects the properties of subsurface structures, such as lesions. A numerical model using the finite element method is described to obtain this response and key results are reported in the paper. A sensitivity study is conducted first to better understand the thermal response of the system and the role of various system and model parameters. We explore the extent to which we are able to draw conclusions regarding the size, depth and nature of subsurface structures and accuracy of these conclusions based on the surface temperature response alone. This work validates the idea of examining the transient thermal response and using thermal imaging as a solution for lesion identification. A sensitivity study of surface temperature distribution to variations of thermophysical properties, blood perfusion rate, and thicknesses of skin layers is performed. It is observed that variations in these parameters have little impact on the surface temperature distribution. The work reported in the paper is a portion of a comprehensive research effort involving experiments on a phantom model as well as measurements on patients. Future work will focus on comparing the results of our 2D numerical modeling efforts with the experimental results using a skin tissue-mimicking phantom. Knowledge gained from the modeling and experimental efforts will be utilized in characterizing lesions in patient studies. The focus of this paper is the computational sensitivity analysis.

scholarly journals Applying Petroleum Pressure Buildup Well Test Procedure on Thermal Response Test—A Novel Method to Improve Accuracy of Thermal Conductivity Determination

2017 ◽  
Author(s):  
Tomislav Kurevija ◽  
Kristina Strpić ◽  
Sonja Koščak-Kolin
Keyword(s):  
Thermal Conductivity ◽  
Test Procedure ◽  
Thermal Response ◽  
Conductivity Measurement ◽  
Test Method ◽  
Test Time ◽  
Testing Time ◽  
Well Test ◽  
Improve Accuracy ◽  
Ground Conductivity

Theory of the Thermal Response Testing (TRT) is a well-known part of sizing process of the geothermal exchange system. Multiple parameters influence accuracy of effective ground thermal conductivity measurement; like testing time, variable power, climate interferences, groundwater effect etc. To improve accuracy of the TRT we introduced procedure to additionally analyze falloff temperature decline after power test. Method is based on a premise of analogy between TRT and petroleum well testing, since origin of both procedures lies in diffusivity equation with solutions for heat conduction or pressure analysis during radial flow. Applying pressure build-up test interpretation technique to the borehole heat exchanger testing, greater accuracy could be achieved since ground conductivity could be obtained from this period. Analysis was conducted on coaxial exchanger with five different power steps, and with both direct and reverse flow regime. Each test was set with 96hr of a classical TRT, followed by 96hr of temperature decline, making it almost 2000 hours of cumulative borehole testing. Results showed that ground conductivity value could vary as much as 25% depending on test time, seasonal period and power fluctuations while thermal conductivity obtained from a falloff period gives more stable values with only 10% value variation.

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