Afin de modéliser l'absorption dans le traitement des transferts radiatifs en milieu atmosphérique, de nombreuses méthodes plus précises et plus rapides ont été développées. La modélisation de la formation du brouillard, où le rayonnement infrarouge joue un rôle très important, nécessite des méthodes numériques suffisamment précises pour calculer le taux de refroidissement. Le brouillard radatif se forme après des conditions de ciel clair, où l'absorption est le processus radiatif dominant, en raison d'un fort refroidissement nocturne. Avec l'augmentation des ressources de calcul et le développement du Calcul Haute Performance, les modèles à bandes, pour effectuer l'intégration sur la longueur des grandeurs radiométriques, sont les plus utilisés. Toutefois, le couplage entre les transferts radiatifs 3-D et la dynamique des fluides reste très coûteux en temps de calcul. Le rayonnement augmente d'environ cinquante pourcent le temps de la simulation pour la dynamique des fluides uniquement. Pour réduire le temps passé dans une itération radiative, une nouvelle paramétrization basée sur les modèles en émissivité a été développée. Cette approche nécessite seulement une résolution de l'ETR contre $N_{text{bandes}} times N_{text{gauss}}$ pour un modèle à $N_{text{bandes}}$ avec $N_{text{gauss}}$ points de quadratures sur chaque bande. Une comparaison avec des données de simulation a été effectuée et cette nouvelle paramétrisation de l'absorption infrarouge a montré sa capacité à prendre en compte les variations des concentrations gazeuses et d'eau liquide. Une étude à travers le couplage entre le modèle développé et le code de CFD Code_Saturne a été réalisée afin valider dynamiquement notre paramétrisation. Enfin une simulation exploratoire a été effectuée sur un domaine 3-D en présence de bâti idéalisé, pour capter les effets radiatifs 3-D dûs aux hétérogénéités horizontales du champ d'eau liquide et des bâtiments / The Atmospheric Radiation field has seen the development of more accurate and faster methods to take into account absorption. Modelling fog formation, where Infrared Radiation is involved, requires accurate methods to compute cooling rates. Radiative fog appears with clear sky condition due to a significant cooling during the night where absorption is the dominant processus. Thanks to High Performance Computing, multi-spectral approaches of Radiative Transfer Equation resolution are often used. Nevertheless, the coupling of three-dimensional radiative transfer with fluid dynamics is very computationally expensive. Radiation increases the computation time by around fifty percent over the pure Computational Fluid Dynamics simulation. To reduce the time spent in radiation calculations, a new method using the broadband emissivity has been developed to compute an equivalent absorption coefficient (spectrally integrated). Only one resolution of Radiative Transfer Equation is needed against $N_{text{band}} times N_{text{gauss}}$ for an $N_{text{band}}$ model with $N_{text{gauss}}$ quadrature points on each band. A comparison with simulation data has been done and the new parameterization of Radiative properties shows the ability to handle variations of gases concentrations and liquid water. A dynamical study through the coupling between the infrared radiation model and Code_Saturne has been done to validate our parametrization. Finally the model was tested on a 3-D domain with idealized buildings to catch 3-D infrared radiative effects due to horizontally inhomogenities of the liquid water content field and buildings

The main theme of the master's thesis is using of thermal camera to measure temperatures in electrical engineering. First are mentioned the physical principles of heat transfer. Then the thesis deals with methods of determining the correct emissivity of the measured object and in the next point with sensors designed for sensing infrared radiation, there is also part dedicated to evaluation software Report Sat Standard, which was used to evaluate the pictures taken with thermal camera SAT-HY 6800. Next part of this work is the measurement of the DC and EC motor with help of thermocamera, which took place in the electric company ATAS Nachod. Attachment to this master's thesis there is animation of EC motor created in Autodesk Inventor.

This master’s thesis is specialized on the influence of correct parameters of emissivity, which depends on the temperature, wavelength and ambient environment. The investigation the parameter was taken infrared non-contact thermometer MI3 from company Raytek. To improve the quality of measurement was designed and programmed measuring utility program. The program was developed in the LabView 8.5 programming environment. To obtain the true value of the measured temperature of the target was designed and constructed the touch thermometer with the resistance dependent sensor. The thermometer is connected to the communication box of infrared thermometer and contain the same program. Nowadays are the most advanced IR thermometer with fixed parameters emissivity, which is applicable just to the real body in the vicinity of the parameter emissivity 0,95. For those IR thermometers were designed correction function, which would have temperature measured at a fixed emissivity parameter 0,95 set close to the actual value of the object.

The objective of this thesis is to create summary of emissivity of wet surfaces, emissivity of rime surfaces and emissivity of dry surfaces. The next objective is to create materials for termovision measurement and find the use for this materials for practice. Theoretical part of thesis deals with a theory of ways of heat transfer (radiation mainly), description of emisivity concept, description of emisivity finding ways and the show emissivity of mesuared materials from avaible sources for working hypothesis. Emissivity of dry, wet and rime samples were measured as the experimental part of thesis. Experimental part of thesis consist of experiment description, working hypothesis, measuring instruments and measuring area description, measuring proces description and presentation of measured results. Obtained dependences are benefits for termovision measurent, energy evaluation and the thermal state microclimate simulations.

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Continuous welding is one of the prominent techniques used in producing seamless piping used in many applications such as the mining and the oil and gas industries. Weld defects cause significant loss of time and money in the piping production industry. Therefore, there is a need for effective online weld defects detection systems. A laser-based weld defects detection (LBWDD) system has been developed by the industrial partner. However, the current LBWDD system can only detect some geometrically based weld defects, but not material inhomogeneity such as voids, impurities, inclusions, etc. The main objective of this study is to assess the predictability of a thermal imaging-based weld defects detection system (TIBWDD) using an IR camera that can be integrated with the current LBWDD system. The aim of the integrated detection system is to be able to detect a wider range of weld defects. A test rig has been designed and used to carry out a set of emissivity (ε) calculation experiments considering three different materials – Aluminum 5154 (Al), Stainless Steel 304L (SS), and Low Carbon Steel A131 (LCS) with two surface finishes 0.25 μm (FM) and 2.5 μm (RM), which are relevant to pipe welding operations. Al showed least change in ε varying from 0.162 to 0.172 for FM samples and from 0.225 to 0.250 for RM samples from 50°C to 550°C. LCS showed highest change in ε varying from 0.257 – 0.918 for FM samples and from 0.292 to 0.948 for RM samples. SS showed a consistent increase in ε for both FM and RM samples. Experimental and numerical analysis have been carried out mimicking two sets of possible weld defects investigating defect size, Dh, and distance between effect and sample surface, δ. Results showed that the δ based defects that are located within 3 mm can be detected by the IR camera. Defects with Dh = 1. 5 mm can be detected by the IR camera with and without glass wool. Laser welding simulations using 2D and 3D Gaussian heat source models have been carried out to assess the predictability of a set of possible weld defects. The heat source models have been validated using experimental data. Three sets of defects were considered representing material-based inhomogeneity, step and inclined misalignment defects. For material-based inhomogeneity in thin plates all defects located at 1.25 mm from the surface are found detectable as ΔT (temperature difference obtained on surface) > ΔTmin (detectability limit of TIBWDD system). For inhomogeneity defects in thick plates, except defects of 2.5 mm in square size all other defects were found detectable as ΔT > ΔTmin. All step misalignment defects were detected for thin and thick plates. In the case of inclined misalignment defects, for thin plates, the misalignment error in the thin plate had to be at least 0.275 mm to be detected. In the case of thick plates, the misalignment error had be at least 0.375 mm to be detected. Overall, results of the present study confirm that thermal imaging can be successfully used in detecting material-based and geometry-based weld defects. / Thesis / Master of Applied Science (MASc)

Aquarius/SAC-D is a joint NASA/CONAE (Argentine Space Agency) Earth Sciences satellite mission to measure global sea surface salinity (SSS), using an L-band radiometer that measures ocean brightness temperature (Tb). The application of L-band radiometry to retrieve SSS is a difficult task, and therefore, precise Tb corrections are necessary to obtain accurate measurements. One of the major error sources is the effect of ocean roughness that "warms" the ocean Tb. The Aquarius (AQ) instrument (L-band radiometer/scatterometer) baseline approach uses the radar scatterometer to provide this ocean roughness correction, through the correlation of radar backscatter with the excess ocean emissivity. In contrast, this dissertation develops an ocean roughness correction for AQ measurements using the MicroWave Radiometer (MWR) instrument Tb measurements at Ka-band to remove the errors that are caused by ocean wind speed and direction. The new ocean emissivity radiative transfer model was tuned using one year (2012) of on-orbit combined data from the MWR and the AQ instruments that are collocated in space and time. The roughness correction in this paper is a theoretical Radiative Transfer Model (RTM) driven by numerical weather forecast model surface winds, combined with ancillary satellite data from WindSat and SSMIS, and environmental parameters from NCEP. This RTM provides an alternative approach for estimating the scatterometer-derived roughness correction, which is independent. The theoretical basis of the algorithm is described and results are compared with the AQ baseline scatterometer method. Also results are presented for a comparison of AQ SSS retrievals using both roughness corrections.

Au cours des dernières années, l’essor spectaculaire des microsystèmes (ou MEMS), qui touche tous les domaines industriels, est à l’origine de nombreux et nouveaux progrès technologiques. Néanmoins, dans ce contexte prometteur de large envergure, la fiabilité des MEMS s’avère être la problématique à améliorer pour franchir la phase d’industrialisation à grande échelle. C’est dans le cadre de cette thématique de fiabilité des microsystèmes, que s’inscrit ce travail.La température étant un paramètre majeur entrant dans de nombreux mécanismes d’endommagement des MEMS, notre étude présente la conception et la réalisation d’un banc de thermographie infrarouge de haute résolution (2 µm), associé à la mise en œuvre d’une méthodologie d’analyse et de traitement des mesures infrarouges.Ce dispositif innovant permet un diagnostic in-situ, sans contact et rapide des défaillances des MEMS par mesures locales et quantitatives des pertes thermiques associées. Cet outil constitue une avancée importante pour détecter, mesurer et comprendre les mécanismes d’endommagement des MEMS. Il nous permet de reconstituer des images thermiques de tout type de microsystème en cours de fonctionnement ou soumis à des tests de vieillissement accéléré, et ceci afin de réaliser une analyse fine et rapide de leur fiabilité.Ce travail apporte de nouveaux résultats en ce qui concerne la détection des mécanismes de défaillance de différents types de MEMS-RF et tout particulièrement des MEMS-RF avec contact électrique. / Over the last few years, considerable effort has gone into the study of the failure mechanisms and reliability of MicroElectroMechanical Systems (MEMS). MEMS performance and reliability are affected by many parameters, such as the complex physical interactions between thermo-mechanical deformation, current flow, high power actuation and contact heating. In particular, temperature is a key issue for the design of a low loss and reliable MEMS. In order to improve device reliability it is essential to understand the thermal behaviours of RF-MEMS under standard or harsh current conditions. In this work, we present a new approach to investigate the failure mechanism of MEMS. An original set-up has been developed to localise and measure the heat loss of MEMS during actuation. Thermal characterization has been performed using infrared thermography to investigate the thermal sensitivity of MEMS. A brand new infrared bench was developed for temperature distribution measurement. An infrared camera, operating in the 1,5 - 5 µm bandwidth, was coupled to a new specific optic to reach an enhanced spatial resolution better than 2 µm/pixel. This work presents several results obtained on different advanced RF-MEMS including RF-MEMS switches where failure mechanism had been diagnosed.

La mesure de champs de température sans contact est un paramètre clé pour l'optimisation et le contrôle des procédés. Les systèmes actuels présentent des limitations, particulièrement sur des surfaces hétérogènes et/ou dans des conditions dynamiques pouvant entraîner une altération de la surface. Ces restrictions sont causées par la méconnaissance de l'émissivité de la surface qui est une fonction complexe de nombreuses grandeurs physiques (température, longueur d'onde, rugosité, direction de détection). La thèse présentée propose le développement complet d'une nouvelle méthode de mesure de champs de température vraie, dénommée THERMOREFLECTOMETRIE, applicable sur tout type de matériaux opaques, dans la gamme [300-1000]°C. Elle permet la mesure en ligne de l'émissivité par le couplage d'une étape classique de THERMOGRAPHIE avec une étape de REFLECTOMETRIE laser. La démarche adoptée consiste premièrement en l'analyse critique de la méthode et de ses facteurs d'influence, ainsi que du dimensionnement optimal des éléments par des études en simulations. Ensuite un prototype opérationnel est mis en oeuvre et ses défauts sont caractérisés, du point de vue d'un système de type CAMERA, et les corrections nécessaires sont mises en place. Enfin, les performances expérimentales sont évaluées sur des scènes thermiques complexes et hétérogènes qui mettent en évidence la bonne précision du prototype pour tous les échantillons testés / True temperature field measurement is a key parameter for the optimization and the control of industrial processes. Current systems present limitations, especially on heterogeneous surfaces and/or in dynamical conditions involving the surface's variation. These restrictions are due to the ignorance of the surface's emissivity, which is a complex function of many physical quantities (temperature, wavelength, roughness, direction of detection). This thesis presents the complete development of a new method of true temperature field measurement, called Thermoreflectometry, applicable on any kind of opaque material, in the range [300-1000]°C. It allows the on-line measurement of emissivity by mixing a step of classical THERMOGRAPHY with a step of laser REFLECTOMETRY. The approach of this work is, first, the critical analysis of the method and its influence quantities, and then the optimal dimensionment of the components by simulation studies. Thirdly, a prototype is built and its defaults are characterized, following a CAMERA-based point of view, and the possible corrections are implemented. Finally, the experimental performances are estimated on some complex heterogeneous thermal scenes which emphasize the prototype's precision for all the tested samples