Dam spillways and downstream areas are used to guide large flows of water during for example heavy rainfall. The large flows give way to turbulent pattern sand velocities that may damage the river banks or the dam structure. Investigation of these water patterns at certain flows are therefore done to examine at risk areas. In this study CFD simulations were performed for different flows with different boundary conditions for varying surface roughness level. Results were then compared to a previous model study from 2009. The ANSYS ecosystem was used in production of the 3D model, construction of mesh and running of simulations.The flow for the maximum discharge capacity of the sluices was simulated as well as the design flow which is the highest flow the dam is supposed to be able to withstand. In this report the flow has been modeled using RANS with the SST kω-model in a VOF transient setup. Results showed that for both the design flow and the maximum discharge capacity flow the energy conversion is functioning poorly and that a considerable backward circulation exists on the right riverside. This behavior could possibly injure the right dam structure by moving debris upwards against the stream.

Air insulation, especially its efficiency, is often underestimated and most often it is recommended as combination of several methods by our experts. It is known that flowing air used to eliminate excessive humidity in lower construction is insignificantly promoted. Already our ancestors in ancient Rome had experience with implementation of air insulations. However, nowadays such design is connected with many doubts and it forces us to use sense, especially knowledge of construction physics. So it urges higher technical precision when designing functional ventilation system. Each building is actually a unique object, with regard to its position and used properties, that is why certain natural conditions must be accepted when designing. It is more complicated and figuratively speaking it can be written in c. 20 equations of twenty unknowns. Other problems arise in unknown coefficients to individual parameters and their effects. From another point of view it is the issue of changing air during the day, passing fronts, annual cycles and all of these in relation to internal environment of the building, materials used in the construction, land properties of rocks, and last but not least, relation to the terrain around the building. Then there are the effects of the building's altitudes etc. In total they are cycles with sine character of dampening and drying. The thesis discusses how to test the functionality of AIR insulations designed for the floor ventilation in historic buildings and follows on from the previously published articles. A flow analysis is being performed on an object of the city of Žirovnice which has been registered in the list of cultural monuments and was built as a brewery in the years 1589-1592 on the site of an older medieval building. This article brings new air-flow element. The aim of the article is to analyse in detail the air flow in a specific floor void with the aid of modern CFD programs and experimental measurements using the ALMEMO

This thesis examines the impact of spillway surface roughness on discharge capacity determination in hydraulic models. The study combines physical hydraulic modeling in a laboratory with Computational Fluid Dynamics (CFD) modeling using Fluent. The aim is to evaluate the effect of material roughness on spillway discharge determination for prototype spillways and outlets. The project includes a literature review, data collection, 3D modeling, model setup, numerical modeling, result analysis, comparison with other reports, and report writing. The results concluded that varying roughness heights as well as changing turbulence model and mesh settings did not significantly impact the final discharge (kg/s) at steady state. P-values less than 1e-7 for the average discharge at flowtime of [150 − tfinal[s]] suggests strong confidence in the statistical insignificance of varying roughness height affecting the discharge.

Castings of aluminum alloys are widely used in the automotive and aerospace industries since they play a significant role in improving the performance and fuel efficiency. In aluminum industries, sampling is the most common method to evaluate the inclusion levels which is a key indicator for the quality of the aluminum alloys. Since how the filling process and solidification process will influence the inclusion characteristics during the sampling procedure is of great importance, the objectives of this work is to create a the two-phase flow model to simulate the filling process and solidification process, as well as calculate the particles movement in the whole sampling procedure. Computational Fluid Dynamics (CFD) modeling was used and this work was performed in the software ANSYS FLUENT. A numerical two dimensional (2D) axisymmetric model was built to simulate the sampling procedure with the assumption that the filling could be done along the main axis automatically. First, the initial solidification during the filling was taken into account without particle injection. The realizable k − ε turbulence model was used to model the effects of the turbulence. Several simulations with different inlet filling rate, different initial filling temperature and different inlet diameter was calculated to see the influence on the solidification behavior. Then, the whole sampling system was modeled with particle injection. The Discrete Phase Model (DPM) was used to simulate the particle motion in the melt and the focus was on the influence of the initial solidification on the inclusion distributions. Finally, the optimal sampling position inside the aluminum sampler mold was calculated. / Gjutningar av aluminiumlegeringar används ofta inom bil-, och flygindustrin eftersom de spelar en viktig roll för att förbättra prestanda och bränsleeffektivitet. Inom aluminiumindustrin är provtagning den vanligaste metoden att utvärdera mängden inneslutningar i smältan, vilket är en nyckelindikator för kvaliteten på aluminiumlegeringarna. Eftersom både fyllnads- och stelningsprocessen kommer att påverka inneslutningskarakteristiken är provtagningsproceduren av stor betydelse. Syftet med detta arbete är att skapa en två-fasflödesmodell för att simulera fyllnings-, och stelningsprocessen, samt att beräkna partikelrörelserna under provtagningsförfarandet. Computational Fluid Dynamics (CFD) modellering användes och arbetet har utfördes med mjukvaran ANSYS FLUENT. En numerisk tvådimensionell (2D) axisymmetrisk modell byggdes för att simulera provtagningsproceduren med antagandet att påfyllningen kan göras automatiskt längs huvudaxeln. Till att börja med betraktades det första stelnandet under fyllningen utan partikelinjektion. En antagen k - ε turbulensmodell användes för att modellera effekten av turbulens. Flera simuleringar med olika inloppshastighet, påfyllningstemperatur och inloppsdiametrar beräknades för att se påverkan på stelningsbeteendet. Därefter modellerades hela provtagningsmodellen med partikelinjektion. En Diskret Fasmodell (DPM) användes för att simulera partikelrörelsen i smältan och fokus var inverkan av det initiala stelnandet på inneslutningsfördelningen. Slutligen beräknades den optimala provtagningspositionen inuti aluminiumprovformen.

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Les écoulements en milieu urbain sont complexes et à l’heure actuelle estimés à l’aide d’outils informatiques. Pourtant, le manque de données expérimentales sur des géométries urbaines rend la validation et l’encadrement de l’utilisation de ces derniers difficile. Cette thèse présente les résultats obtenus sur un modèle physique d’un quartier urbain. La distribution des hauteurs d’eau ainsi que la répartition des débits en sortie du quartier expérimental sont mesurées. Leur étude a mis en évidence certains comportements caractéristiques des écoulements. Les données expérimentales ont été comparées aux simulations numériques générées avec un code 3D (Ansys-Fluent®) et un outil de recherche (Neptune 2D) mis au point durant cette thèse. Ce dernier résout les équations de Barré de Saint Venant 2D à l’aide d’un schéma EVR-DG, associé à une modification des solveurs de Riemann qui rend le code de calcul well-balanced.Les écarts observés entre Ansys-Fluent® et l’expérimental sont majoritairement en-dessous de 10%. Le code Neptune 2D apparait quant à lui légèrement moins précis : les écarts peuvent atteindre 20 à 30%. Diverses hypothèses sont avancées pour expliquer ces écarts. / This study deals with urban floods. Nowadays, numerical tools are used to simulate those complex flows. Nevertheless, the lack of experimental make the validation of the softwares difficult. This work presents experimental results of an urban flood physical model. The water height and the outflows at every outlet are measured and compared to numerical results. This study highlights some observed specificities of urban flows. In order to simulate those flows, a numerical tool (Neptune 2D) was developed during this PhD to solve the 2D shallow water equations with an EVR-DG scheme. Modifications of the Riemann solvers lead to a wellbalanced scheme. Numerical results were also provided with a 3D software (Ansys-Fluent®). Differences between Ansys-Fluent® and experimental results are mainly under 10%. Neptune2D is less accurate, with differences reaching 20 to 30%. Some hypotheses are discussed to explain those discrepencies.

The main objective of this Master´s thesis is the appropriate calculation proposal of pressure and discharge conditions in extensive ducts in unsteady flow. The calculation proposal was aimed at the conenction of two commercial programmes. Exacly the programme Ansis Fluent and Matlab, which deals with the connection of onedimensional (1D) calculation in Matlab and multidimensional (2D) calculation in Ansys Fluent programme. This Mastr’s thesis also deals with creation of the independent 1D model (Matlab, method of characteristic) and independent 2D model flow (Ansys Fluent, Inviscid model).

The Savonius turbine is a self-starting vertical axis turbine that has a few advantages compared to other vertical axis turbines such as lower cost, lower noise and is relatively easy to manufacture. This turbine does however have a lower efficiency and is therefore less used in the electricity production than other turbines.  This thesis is trying to tackle this problem with the use of 2D CFD-simulations of flow directors to modify the flow through the turbine to increase the efficiency. The focus during this project is to use this turbine as a Marine Current Turbine (MCT) in unidirectional flows. The turbine was based on a turbine design from a previous study at Uppsala University. The design of the flow directors was modeled with the intention to increase the available pressure drop from the front to the back of the turbine and therefore increase the velocity through the turbine. The flow directors comprised of two arcs on each side of the turbine so that they resembled a Venturi-tunnel, with a funnel in the front and a diffuser at the back. A validation of the domain dimensions and mesh-size was conducted and after this the different parameters of the flow directors were varied one at a time with the best value of a given parameter being kept for the latter simulations. At the end, the rotational velocity of the turbine was varied to find how sensitive the power output was based on this factor. This study concluded that an increase in the power coefficient of about 3,2 times was achievable compared to the same turbine in free flow. However, this needs to be further investigated and validated in real world tests as this study was conducted using 2D-simulations and other effects may influence the results in the real world. / <p>This project was conducted within Stand up for wind and Stand up for energy.</p>

Batteries play an important role in a sustainable future. As the development for better andsmarter batteries continues, new areas of use emerge boosting its demand. Controlling thetemperature of a battery cell is a vital objective to ensure its longevity and performance. Bothcooling and heating methods can be applied to keep the temperature within a certain rangedepending on its need. This study will review the technical aspects of lithium-ion batteries,observe the different thermal management systems and cooling methods, and lastly examinethe required cooling flow needed for a battery cell to prevent its temperature from rising tocritical levels during its discharge. Using CFD ANSYS Fluent as a simulation tool, the resultsshow that different charging rates, in terms of C-rate, require different rates of mass flow tocontrol the temperature. Simulating the cell with natural convection, the cell peaks at hightemperatures even at lower C-rates, reaching up to 36,4°C and 48,8°C for 1C and 2C,respectively. Applying the cooling method with a flow rate of 0,0077kg/s reduces thetemperature significantly, resulting in temperatures of 26,95°C and 31,27°C for 1C and 2C,respectively.