Development and Integration of a Semi-Analytical PCB Thermal Design Technique With an Infrared Thermal Imaging System

Abstract Traditionally, analytical models are developed to predict the thermal behavior of Printed Circuit Boards (PCBs). The predicted results are then verified with other analytical or experimental results prior to using the models in design. This is a time intensive process and the results predicted using these models may include limitation due to idealization. In order to overcome this disadvantage, a semi-analytical model is proposed in this study. The semi-analytical model uses analytic theory in conjunction with results obtained from an Infrared-Radiation Thermal Imaging System (IRTIS). The model is verified and updated, allowing the results to be immediately incorporated into PCB thermal design. The parameters in the semi-analytical model are determined by employing a least squares temperature curve fit for the first upstream heating component in conjunction with a simple conduction model for the PCB wall. The model was tested with a natural convection cooled PCB with three inline heating components. Temperature data for the first upstream component was measured with an IRTIS and fit to the semi-analytical model. The model predicted temperature results for all three heating components with good agreement. The PCB thermal design technique enables the IRTIS to be employed as a preliminary design tool that significantly reduces design iterations through the use of the semi-analytical model.

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Three Dimensional Thermal Effects in MEMS Devices

MRS Proceedings ◽

10.1557/proc-687-b1.3 ◽

2001 ◽

Vol 687 ◽

Cited By ~ 1

Author(s):

Edward Van Keuren ◽

John Currie ◽

Matthew Nelson ◽

Makarand Paranjape ◽

Thomas Schneider ◽

...

Keyword(s):

Temperature Profile ◽

Thermal Imaging ◽

Imaging System ◽

Three Dimensional ◽

Skin Layer ◽

Chemical Imaging ◽

Analytical Models ◽

Mems Devices ◽

Pdms Microchannel ◽

Thermal Imaging System

AbstractA three dimensional thermal imaging system is being developed for measuring temperature profiles in MEMS-biomedical devices. These devices rely on a thermal microablation of the dead-skin layer in order to sample transdermal fluids. This is accomplished using microheaters embedded into a PDMS microchannel device. In order to determine the proper functioning as well as long-term safety of the devices, a temperature profile of the device and the skin in contact with the heaters is needed. The results of simple analytical models are used to optimize a proto- type device. Using a three-dimensional chemical imaging microscope and temperature-depend- ent fluorophores, the temperature profile in a sample can be determined quantitatively as well. We demonstrate the technique on a model sample, and discuss extension to other applications such as thermal imaging in biological systems.

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Novel Structure and Thermal Design and Analysis for CubeSats in Formation Flying

Aerospace ◽

10.3390/aerospace8060150 ◽

2021 ◽

Vol 8 (6) ◽

pp. 150

Author(s):

Yeon-Kyu Park ◽

Geuk-Nam Kim ◽

Sang-Young Park

Keyword(s):

Analytical Model ◽

Formation Flying ◽

Thermal Environment ◽

Thermal Analyses ◽

Thermal Design ◽

Analytical Models ◽

Test Results ◽

Solar Panels ◽

Novel Structure ◽

Micro Propulsion

The CANYVAL-C (CubeSat Astronomy by NASA and Yonsei using a virtual telescope alignment for coronagraph) is a space science demonstration mission that involves taking several images of the solar corona with two CubeSats—1U CubeSat (Timon) and 2U CubeSat (Pumbaa)—in formation flying. In this study, we developed and evaluated structural and thermal designs of the CubeSats Timon and Pumbaa through finite element analyses, considering the nonlinearity effects of the nylon wire of the deployable solar panels installed in Pumbaa. On-orbit thermal analyses were performed with an accurate analytical model for a visible camera on Timon and a micro propulsion system on Pumbaa, which has a narrow operating temperature range. Finally, the analytical models were correlated for enhancing the reliability of the numerical analysis. The test results indicated that the CubeSats are structurally safe with respect to the launch environment and can activate each component under the space thermal environment. The natural frequency of the nylon wire for the deployable solar panels was found to increase significantly as the wire was tightened strongly. The conditions of the thermal vacuum and cycling testing were implemented in the thermal analytical model, which reduced the differences between the analysis and testing.

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THERMAL IMAGING SYSTEM FOR CLIMATE CONTROL OF POTATO STORES

IFAC Proceedings Volumes ◽

10.3182/20050703-6-cz-1902.02109 ◽

2005 ◽

Vol 38 (1) ◽

pp. 115-118 ◽

Cited By ~ 1

Author(s):

Klaus Gottschalk ◽

Sabine Geyer ◽

Hans-Jürgen Hellebrand

Keyword(s):

Thermal Imaging ◽

Imaging System ◽

Climate Control ◽

Thermal Imaging System

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Fabrication of Silicon Window for Low-price Thermal Imaging System

Journal of Sensor Science and Technology ◽

10.5369/jsst.2015.24.4.264 ◽

2015 ◽

Vol 24 (4) ◽

pp. 264-269

Author(s):

Byung Mok Sung ◽

Dong Geon Jung ◽

Soon Jae Bang ◽

Sun Min Baek ◽

Seong Ho Kong

Keyword(s):

Thermal Imaging ◽

Imaging System ◽

Thermal Imaging System

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Application of Zernike moments in computer vision problems for infrared images

E3S Web of Conferences ◽

10.1051/e3sconf/202131001002 ◽

2021 ◽

Vol 310 ◽

pp. 01002

Author(s):

Dmitriy Otkupman ◽

Sergey Bezdidko ◽

Victoria Ostashenkova

Keyword(s):

Computer Vision ◽

Machine Vision ◽

Thermal Imaging ◽

Imaging System ◽

Infrared Region ◽

Zernike Moments ◽

Infrared Images ◽

Theoretical Justification ◽

Thermal Imaging System ◽

Binarization Method

The efficiency of using Zernike moments when working with digital images obtained in the infrared region of the spectrum is considered to improve the accuracy and speed of an autonomous thermal imaging system. The theoretical justification of the choice of Zernike moments for solving computer (machine) vision problems and the choice of a suitable threshold binarization method is given. In order to verify the adequacy and expediency of using the chosen method, practical studies were conducted on the use of Zernike methods for distorting various thermal images in shades of gray.

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NVSIM: UNIX-based thermal imaging system simulator

10.1117/12.154730 ◽

1993 ◽

Cited By ~ 1

Author(s):

John D. Horger

Keyword(s):

Thermal Imaging ◽

Imaging System ◽

Thermal Imaging System

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Design and implementation of infrared thermal imaging system based on SOPC

Chinese Journal of Liquid Crystals and Displays ◽

10.37188/cjlcd.2020-0211 ◽

2021 ◽

Vol 36 (6) ◽

pp. 886-895

Author(s):

Hai-lin ZHONG ◽

◽

Yue-tao YANG ◽

Xin WANG ◽

Feng CAO ◽

...

Keyword(s):

Thermal Imaging ◽

Imaging System ◽

Infrared Thermal Imaging ◽

Design And Implementation ◽

Thermal Imaging System

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Thermal Imaging in Medical Science

Computer Vision ◽

10.4018/978-1-5225-5204-8.ch046 ◽

2018 ◽

pp. 1109-1132 ◽

Cited By ~ 1

Author(s):

Nilanjan Dey ◽

Amira S. Ashour ◽

Afnan S. Althoupety

Keyword(s):

Breast Cancer ◽

Thermal Imaging ◽

Imaging System ◽

Medical Science ◽

Breast Diseases ◽

Material Surface ◽

Processing Unit ◽

Main Concept ◽

Object Material ◽

Thermal Imaging System

Thermal imaging is a non-destructive, non-contact and rapid system. It reports temperature through measuring infrared radiation emanated by an object/ material surface. Automated thermal imaging system involves thermal camera equipped with infrared detectors, signal processing unit and image acquisition system supported by computer. It is elaborated in wide domains applications. Extensive focus is directed to the thermal imaging in the medical domain especially breast cancer detection. This chapter provided the main concept and the different applications of thermal imaging. It explores and analyses several works in the light of studding the thermograph. It is an effective screening tool for breast cancer prediction. Studies justify that thermography can be considered a complementary tool to detect breast diseases. The current chapter reviews many usages and limitations of thermography in biomedical field. Extensive recommendations for future directions are summarized to provide a structured vision of breast thermography.

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