No description available.

No description available.

With continued development of the electronic industry, the demand for highly efficient heat removal solutions requires innovative cooling technologies. A computational fluid dynamic (CFD) study, including heat transfer, is performed for an axisymmetric, confined jet impingement experiencing boiling and coupled with vapor extraction. Boiling occurs at the target surface while extraction occurs at the wall confining the radial flow. The region between the target and confining wall is defined as a confined gap. Extraction is employed to enhance heat transfer and to minimize the potential negative influence of flow instabilities resulting from two-phase flow within a confined region. A three-dimensional sector of the confined jet is employed in the simulation. A single circular impinging jet with a constant jet diameter (4 mm) and variable gap height (0.5, 1.0 and 1.5 mm), also known as nozzle-to-target spacing, is considered. The effect of mass flux at the confined gap entrance is also investigated (200, 400 and 800 kg/m²-s) for a range of heat flux (5 to 50 W/cm²). Fluid flow and heat transfer are simulated using the Volume of Fluid (VOF) model and the wall-boiling sub-model within the Multiphase Segregated Flow (MSF) model. The boiling sub-model in the VOF model applies the Rohsenow boiling correlation, while in the MSF model, the Kurul-Podowski boiling sub-model is used. Also, vapor extraction is realized by different mechanisms for these two models. For the VOF model, a specific phase "wall porosity" can be assigned to a wall to make it porous. Over a range of pressure differentials across this porous wall such that the inertial transport influence is negligible, vapor transport should agree with Darcy's law. For the MSF model, a wall can be made permeability to one substance or phase while remaining impermeable to the other substance or phase. However, a portion of the substance or phase reaching the boundary allowed to pass through the surface must be specified. A pressure drop cannot be applied across the wall, thereby prohibiting Darcy flow modeling. The solutions of both models are at steady state. The boiling curves without vapor extraction from both models are provided and compared to experiments. Simulations matching experimental wall temperatures under-predict theoretical vapor generation and those matching vapor generation over-estimate wall superheat. For cases with no extraction, local temperature and velocity profiles from the VOF model are provided at several radial locations within the confined gap. Scalar temperature and pressure distributions and velocity vectors are presented to explain observations in profiles. / Graduation date: 2013

<p>An experimental investigation has been carried out in order to investigate the effect of surface initial conditions, concentration, nanoparticles size and deposition pattern on pool boiling and jet impingement boiling of nanofluids. A flat copper surface with initial conditions of Ra = 420 nm, Ra = 80 nm and Ra = 20 nm has been used as the boiling surface. Al₂O₃ and CuO nanoparticles have been used with de-ionized water to prepare the nanofluids. At 0.01 vol. % concentration of Al₂O_3, the rate of heat transfer enhanced by 41% and 34% for the Ra = 80 nm and Ra = 20 nm, respectively. While, in the case of Ra = 420 nm, the rate of heat transfer deteriorated by 49%. At 0.005 vol. % concentration the rate of heat transfer deteriorated for all three surfaces. It is believed that the deterioration was due to the uniformity of the deposition. Using 0.01 vol. % concentration of CuO nanofluids resulted in the same trend, however, the rate of heat transfer is less compared to using Al₂O₃nanofluids. For example, in the case of Ra = 80 nm, the rate of heat transfer was reduced by 14%.</p> <p>The effect of nanoparticles size has been investigated by changing the nanoparticles size from 50 nm to 10 nm. The change in nanoparticles size resulted in a significant deterioration in the rate of heat transfer for all three surfaces. It is believed that the deterioration was due to the deposition uniformity. As the deposition uniformity has been found to be a major factor that affects the rate of heat transfer, new approach was introduced to quantify the effect of the rate of deposition on the pool boiling of nanofluids.</p> <p>An experimental investigation has been carried out in order to investigate using submerged impingement jet on the rate of heat transfer using nanofluids. At of 0.005 vol. % concentration of Al₂O₃, surface with Ra = 80 nm, jet to surface vertical distance of 3 mm and Reynolds number of 101311, the rate of heat transfer deteriorated by 19%.</p> <p>Comparing the pool boiling and jet impingement boiling of nanofluids showed that, in the case of jet impingement boiling, the rate of heat transfer was enhanced compared to the case of pool boiling and the deposition was less. However, jet impingement boiling experiments showed deterioration in the rate of heat transfer by 19% compared with pure water.</p> / Master of Applied Science (MASc)

Polylactide homopolymers with pendent carboxylic acid functional groups have been designed and synthesized to be studied as magnetite nanoparticle dispersion stabilizers. Magnetic nanoparticles are of interest for a variety of biomedical applications including magnetic field-directed drug delivery and magnetic cell separations. Small magnetite nanoparticles are desirable due to their established biocompatibility and superparamagnetic (lack of magnetic hysteresis) behavior. For in-vivo applications, it is important that the magnetic material be coated with biocompatible organic materials to afford dispersion characteristics or to further modify the surfaces of the complexes with biospecific moieties. The acid-functionalized silane endgroup was utilized as the dispersant anchor to adsorb onto magnetite nanoparticle surfaces and allowed the polylactide to extend into various solvents to impart dispersion stability. The homopolymers were complexed with magnetite nanoparticles by electrostatic adsorption of the carboxylates onto the iron oxide surfaces, and these complexes were dispersible in dichloromethane. The polylactide tailblocks extended into the dichloromethane and provided steric repulsion between the magnetite-polymer complexes. The resultant magnetite-polymer complexes were further incorporated into controlled-size nanospheres. The complexes were blended with poly(ethylene oxide-b-D,L-lactide) diblock copolymers to introduce hydrophilicity on the surface of the nanospheres with tailored functionality. Self-assembly of the PEO block to the surface of the nanosphere was established by utilizing an amine terminus on the PEO to react with FITC and noting fluorescence. / Ph. D.

Considérant les récents progrès dans le domaine du Calcul Haute Performance, le but ultime des constructeurs aéronautiques tels que Safran Aircraft Engines (SAE) sera de simuler un moteur d'avion complet, à l'échelle 1, utilisant la mécanique des fluides numérique d'ici 2030. Le but de cette thèse de doctorat est donc de donner une contribution scientifique à ce projet. En effet, ce travail est consacré au développement d'une méthode élément finis variationnelle adaptative visant à améliorer la simulation aérothermique du refroidissement des aubes de turbine. Plus précisément, notre objectif est de développer une nouvelle méthode d'adaptation de maillage multi-échelle adaptée à la résolution des transferts thermiques hautement convectifs dans les écoulements turbulents. Pour cela, nous proposons un contrôle hiérarchique des erreurs, basé sur des estimateurs d'erreur sous-échelle de type VMS. La première contribution de ce travail est de proposer une nouvelle méthode d'adaptation de maillage isotrope basée sur ces estimateurs d'erreur sous-échelle. La seconde contribution est de combiner (i) un indicateur d'erreur d'interpolation anisotrope avec (ii) un estimateur d'erreur sous-échelle pour l'adaptation anisotrope de maillage. Les résultats sur des cas analytiques 2D et 3D montrent que la méthode d'adaptation de maillage multi-échelle proposée nous permet d'obtenir des solutions hautement précises utilisant moins d'éléments, en comparaison avec les méthodes d'adaptation de maillage traditionnelles. Enfin, nous proposons dans cette thèse une description des méthodes de calcul parallèle dans Cimlib-CFD. Ensuite, nous présentons les deux systèmes de calcul utilisés pendant le doctorat. L'un d'eux est, en particulier, le super-calculateur GENCI Occigen II qui nous a permit de produire des résultats numériques sur un cas d'aube de turbine complète composé de 39 trous en utilisant des calculs massivement parallèles. / By 2030, considering the progress of HPC, aerospace manufacturers like Safran Aircraft Engines (SAE), hope to be able to simulate a whole aircraft engine, at full scale, using Computational Fluid Dynamic (CFD). The goal of this PhD thesis is to bring a scientific contribution to this research framework. Indeed, the present work is devoted to the development of a variational adaptive finite element method allowing to improve the aerothermal simulations related to the turbine blade cooling. More precisely, our goal is to develop a new multiscale mesh adaptation technique, well suited to the resolution of highly convective heat transfers in turbulent flows. To do so, we propose a hierarchical control of errors based on recently developed subscales VMS error estimators. The first contribution of this work is then to propose a new isotropic mesh adaptation technique based on the previous error estimates. The second contribution is to combine both (i) the coarse scales interpolation error indicator and (ii) the subscales error estimator for anisotropic mesh adaptation. The results on analytic 2D and 3D benchmarks show that the proposed multiscale mesh adaptation technique allows obtaining highly precise solutions with much less elements in comparison with other mesh adaptation techniques. Finally, we propose in this thesis a description of the parallel software capabilities of Cimlib-CFD. Then, we present the two hardware systems used during this PhD thesis. The first one is the lab's cluster allowing the development of numerical methods. The second one however, is the GENCI Occigen II supercomputer which allows producing numerical results using massively parallel computations. In particular, we present a more realistic industrial concerning the cooling of a complete turbine vane composed by 39 holes.