Infrared Thermal Analysis Research Articles

Influence of structural and surface properties of MgO thin film as a heat spreader on high power LED performance

Thermal management difficulties in light emitting diodes (LEDs) incredibly impacts LEDs performance, reliability, and lifespan. To find a lasting solution to LEDs thermal management difficulties, MgO thin film was deposited on Cu substrate and used as heat spreader for LED package. Influence of structural and surface properties on thermal performance of LED was investigated by XRD, FESEM and AFM. Optimum LED thermal performance was recorded from the LED mounted to MgO heat spreader with low microstrain of 7.3 × 10–3, uniform particle size (34 nm), surface roughness (4.5 nm) and minimum peak-valley distance (1.90 nm). Thermal conductivity and thermal transient characterization illustrated that 0.6 M MgO thin film showed 15.73 W/mK, higher junction temperature difference (18.06 °C) with higher total thermal resistance difference (3.35 K/W). Improved illumination and reduction in LED surface temperature were recorded using MgO heat spreader from optical and thermal infrared analysis. Therefore, magnesium oxide thin film would be suggested as a heat spreader for enhancing LED’s thermal management.

Infrared Thermal Analysis of Plant Freezing Processes.

Infrared thermal analysis is an invaluable technique to study the plant freezing process. In the differential mode, infrared thermal analysis (IDTA) allows to localize ice nucleation and ice propagation in whole plants or plant samples at the tissue level. Ice barriers can be visualized and supercooling of cells, tissues, and organs can be monitored. Places where ice masses are accommodated in the apoplast can be identified. Here, we describe an experimental setting developed in our laboratory, give detailed information on the practical procedure and preconditions, and give additionally an idea of the problems that would be encountered and how they may be overcome.

An integrated geophysical approach for water infiltration detection and characterization at Monte Cotugno rock-fill dam (southern Italy)

This study concerns with an integrated geophysical approach for the detection and spatial-temporal characterization of the water infiltration into the Monte Cotugno dam embankment. This strategic civil infrastructure is the largest rock-fill dam in Europe and represents the nodal point of the water system feeding the Basilicata, Puglia and Calabria regions (southern Italy). Here, we propose an approach based on the combination of geophysical techniques as Ground Penetrating Radar (GPR) and Electrical Resistivity Tomography (ERT) with Thermal-InfraRed mapping (TIR) and geotechnical in-situ measurements. Such an approach was applied for the diagnosis of the Monte Cotugno dam with the aim both to gain information about the geometry of visible micro-fractures in the dam coverage and have a rapid mapping of the dam inner areas affected by water infiltration phenomena. The sensing methods were deployed in a cascade modality, where the Thermal-InfraRed (TIR) method was used for surveying the dam along the overall length in order to achieve information about the dam coverage status. In particular, TIR analysis allowed us to identify five areas affected by significant fractures and coating detachment. Afterwards, GPR surveys were performed on the sloping side of the dam by investigating few areas among those identified by TIR analysis. In this way, it was possible to get indications whether the water infiltration affected the deeper parts of the dam. Lastly, Electrical Resistivity Tomography (ERT) method was applied in order to detect deeper inner areas affected by water leakages. Finally, a joint interpretation of the three sensing methods was confirmed by shallow boreholes (<20m) drilled over the dam crown, which have evidenced the presence of localised water leakages in the dam. In conclusion, the results are encouraging and the integrated use of non-invasive sensing techniques can be considered an effective tool for the diagnosis and short- and long-term monitoring of critical infrastructures as the Monte Cotugno dam.

Infrared thermal analysis of plant freezing processes.

Infrared thermal analysis is an invaluable technique to study the plant freezing process. In the differential mode infrared thermal analysis allows to localize ice nucleation and ice propagation in whole plants or plant samples at the tissue level. Ice barriers can be visualized, and supercooling of cells, tissues, and organs can be monitored. Places where ice masses are accommodated in the apoplast can be identified. Here, we describe an experimental setting developed in the laboratory in Innsbruck, give detailed information on the practical procedure and preconditions, and give additionally an idea of the problems that can be encountered and how they by special precautions may be overcome.

Fourier Transform Infrared Thermal Analysis of a Segmented Polyurethane

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTFourier Transform Infrared Thermal Analysis of a Segmented PolyurethaneG. A. Senich and W. J. MacKnightCite this: Macromolecules 1980, 13, 1, 106–110Publication Date (Print):January 1, 1980Publication History Published online1 May 2002Published inissue 1 January 1980https://doi.org/10.1021/ma60073a021RIGHTS & PERMISSIONSArticle Views1028Altmetric-Citations138LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (571 KB) Get e-Alerts Get e-Alerts