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As idealized as it may seem, the structures with tandem circular cylindrical profiles are widely found in engineering applications. As the action of the wind does not spare any buildings, the aerodynamic study of these structures is necessary. Therefore, the challenging unsteady flow around smooth and rough tandem cylinders in the subcritical and postcritical regimes is studied through numerical simulations with a rigorous methodology. This thesis aims to assess the ability of 2D URANS simulations to capture the mean and fluctuating quantities and the flow behavior. Experimental data are introduced as principal reference results. The use of wall function boundary conditions is also assessed in both flow regimes, and only very small center-to-center spacings between cylinders are considered. Two turbulence models are employed in the URANS simulations: the k-omega SST model and the Langtry-Menter 4-equation Transitional SST model. On the one hand, from preliminary studies, the former model is more suitable for the postcritical regime with wall function boundary conditions. On the other hand, the second model with a resolved viscous layer is more adapted for the subcritical regime as the boundary layer on the upstream cylinder is laminar before separation. For the smooth case, URANS simulations yield very accurate estimations of main quantities in the subcritical regime. In the postcritical regime, the mean flow quantities are captured, and the global wake is narrower as the upstream separation is delayed, which allows using wall functions. The simulations predict the expected shear layer reattachment on the downstream cylinder for both regimes. Regarding roughness, it is only modeled by wall functions. For both regimes, the flow around rough cylinders is simulated thanks to the k-omega SST model. High discrepancies appear with experimental data for the subcritical regime as wall functions are not adapted for such separated flow. In the postcritical regime, wall functions yield satisfactory results compared to experiments, especially for the upstream cylinder. Notwithstanding the necessary improvements for simulating the flow around rough tandem cylinders in the subcritical regime, the present methodology can be used for further applications on the flow around tandem cylinders.
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A CFD analysis of the flow inside of the VMU MkII in micro-gravity conditions is presented. In the context of complementing the different calculations made by CSL professional using the ESATAN-TMS software, this thesis will contribute to support the existing data of the unit regarding the airflow and the components of the VMU. After considering the characteristics and conditions of the flow inside this unit, the mathematical formulation of the problem is proposed. Then, the numerical implementation is presented and for this task, the finite volume method OpenFOAM software is used. A CAD model of the VMU MkII is been loaded and re-built using the SALOME software. After the model is meshed using the snappyHexMesh OpenFOAM utility, a mesh convergence study has been performed defining the mesh where the final results will be obtained. The results of the thesis display an impact of the bottom rails of the FPIU of 60% in the velocity field and a maximum discrepancy in velocity of 22:37% between the k-w and k-w SST turbulence models. On the other hand, it is observed that the mean temperatures of the components surpass the thermal requirements of the VCU by 4.2K for the VCU, by 53.38K for the CPU and by 97.95K for the SA50-120 modules. Also, the sensitivity analysis for the turbulent intensity at inlets shows that a 1% variation of the turbulent intensity at the inlets gives rise to an average variation of the velocity magnitude of 0.07%. As a conclusion, it is important to underline that the inclusion of conduction in the modeling and a different power distribution may be the reason why the mean temperatures of the components are overestimated. Also, due to the lack of solid experimental data it is not possible to confirm which turbulence model is more suitable for the case of study. Finally, the small variations of the solution due to the sensitivity analysis may be an indicator that the boundary condition for the turbulent kinetic energy at the inlets is well posed.
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Computational Fluid Dynamics (CFD) for ship hydrodynamics has been advancing significantly within the last decade towards providing design tools which are capable of fullscale modeling and simulations with much less cost and more accuracy. For ship resistance and powering, CFD has become increasingly important part of the design process. Establishing the reliability of CFD for specific applications requires test runs and comparisons with experimentally measured data. In this work, ship resistance components such as viscous frictional and pressure forces and wave resistance are to be obtained by virtual towing tank simulation technique by using OpenFOAM CFD code. In numerical simulations, optimum mesh arrangement and different turbulence models such as k-omega (k- ω), and SST (Shear Stress Transport) are considered first for a definite test run and the most accurate combination is determined. Then, a definite hull form designed by Delta Marine Company of Istanbul, Turkey is investigated under the decided setting of parameters for its total resistance characteristics for a number of different speeds. Finally, a speed versus resistance curve for the selected ship form is obtained from the results of numerical computations and compared with the available towing test results. Concluding comments are made on the performance and reliability of the OpenFOAM as a numerical tool in determining the resistance characteristics of a ship. The suggested mesh arrangements and turbulence parameter settings for possible best results are also pointed out in closing;
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In predicting the resistance of ship hulls, experiments in towing tanks have been mostly performed before the extensive use of CFD applications. Time and cost turn out to be key factors in consideration along with the accuracy of results. High costs of experiments and limitations in testing several scenarios in towing tests led to an increased use of CFD codes for ship resistance and propulsion applications. Bureau Veritas (BV) Solutions has interests in developing in-house CFD codes in order to reduce license costs and to enable the engineers to contribute to the code development. One of these CFD tool is being jointly developed by Bureau Veritas (BV) and École Centrale de Nantes (ECN). It is based on OpenFOAM open-source libraries for obvious reasons of accessibility and cost. Its name is foamStar. The work performed in this internship enabled to verify the robustness and sensitivity of foamStar in view of its industrial use on resistance cases. At first, multiple sensitivity studies both on numerical parameters and grid parameters were conducted. It showed the importance of good practices to optimise its use and highlighted some of the key setup options to be used. Moreover, some unstable cases/configurations were encountered showing the poor stability of foamStar, especially with regard to the mesh. Then, the benchmark cases of KCS and DTMB 5415 hulls have been performed in calm water resistance computations. Good agreement was observed in resistance coefficients, free surface pattern and wave profiles between foamStar and experimental results. It can be said that foamStar can capture flow phenomena with the certain degree of accuracy. These results are encouraging and tend to validate the capability of the software for resistance predictions with a small tendency to over-estimate it. For industrialisation purpose, the setup procedure to run foamStar calculations have also been automatized by modifying the BVS’s existing script. The workability and the reliability is well established by testing it on hull optimisation cases. In addition, the results obtained for this optimisation study showed that while over-estimating the resistance, foamStar results are in line with ISIS-CFD results with regard to relative comparison of the various hull forms tested. It is a positive outcome which tends to validate its use for such applications. However, it needs to be investigated further prior to any industrial use as one case is not enough for validation.
Hydrodynamics --- Ship Resistance --- foamStar --- OpenFOAM --- CFD Benckmark --- Hull Optimisation --- BVS --- ECN --- Ingénierie, informatique & technologie > Ingénierie mécanique
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This thesis deals with density-based topology optimisation applied in the scope of a conjugate heat transfer problem. After an explanation of the methods of topology optimisation, the latter is specified to fluid based problems, and especially to conjugate heat transfer applications for which the density-based method is used. The goal of the optimisation is to maximise the heat transferred to the coolant fluid while limiting the pressure drops as much as possible. A single type of design variable stands for the representation of the material distribution. Through this variable, the presence of solid will be taken into account thanks to a Brinkmann type penalisation term that is included in the flow equations. This term blocks the flow where there should be solid material. The temperature is modelled through the convection-diffusion equation which describes both conduction in the solid and convection in the fluid. As the gradient-based approach is used to perform the optimisation, the design variable can take intermediate values which leads to an unclear topology. To cope with this, a processing of the design field known under the name of the Three Field Topology Optimisation Scheme is used. The analysis of the density-based topology optimisation is conducted on a simple conjugate heat transfer problem using the adjointOptimisationFoam solver of OpenFOAM. The optimisation conducted topologically proves its efficiency by increasing up to almost 200% the heat transferred to the coolant fluid, and a drastically reduced pressure drop compared to the initial configuration of the domain. The method is then applied on the optimisation of a 3D heat exchanger subjected to a highly turbulent flow. Although the design generated by the optimisation is not converged, the method gave interesting topologies for the first optimisation cycles.
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The research in the field of Computational Fluid Dynamic in turbulent separated flows is a hot topic in the industrial and academic aerospace sector. Aeronautic industrial standards require each time better and more powerful CFD methods to inquire the behavior of turbulent flows as a consequence of their growing use in aeronautical design. They are extremely important in almost every engineering discipline, especially in those which are facing aerodynamic and structural design; as aerospace, vehicle or naval engineering. This present master thesis centers its work exploring the turbulent separated flow physics and vortex detachment in a simple flat plate geometry. In the first place, the flat plate profile was considered static at an angle of attack of 30 degrees and 4e4 Re. In the second case, the flat plate was moved with a large oscillation angle of attack at a determined frequency of rotation in pitching motion. The simulation results were compared with experiments, trying to reproduce the reality of the flow behavior and detecting possible discrepancies. For every case, a mesh refinement study was performed, reducing the numerical error to stabilize the solution. The aerodynamic coefficients, shedding frequency and vortex detachment results were presented for unsteady RANS and DDES approaches with two solvers: OpenFOAM and SU2, both open-source software. Moreover, a certain sensitivity analysis was accomplished to discern how the span-length or the pivot point parameter might affect the results. The analysis was completed shifting the turbulence modeling; Spalart-Allmaras and k-omega SST model of Menter were both verified. The results in the static plate show a better approach with DDES method than with RANS, finding those pretty acceptable for both solvers. The high angle induces separation, increasing the relative error in the aerodynamic coefficients. The DDES case was able to predict the reality with an error around 8%. The shedding frequency was exactly the same that the one detected in the experiment, both in 3D URANS and DDES. On the other hand, the performances with OpenFOAM for the pitching plate have distortions when the plate is moved in rigid motion, although in SU2 those results were quite accurate, with errors bellow 5%. The k-omega SST model has positive consequences in the static plate, reducing the relative errors for both codes. However, in the pitching mode, the S-A model presents a better approach for both solvers, even if the outcomes in OF are quite poor. Finally, and with the aim of further understanding the physics of the phenomena, the data resulting from the DDES cases were decomposed by using a Dynamic Mode Decomposition algorithm to extract the mode shapes.
CFD --- Unsteady RANS --- Detached-Eddy Simulations --- Turbulent separated flows --- OpenFOAM --- SU2 --- DMD --- Ingénierie, informatique & technologie > Ingénierie aérospatiale
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Phase change materials (PCMs) are of high interest in thermal storage and thermal management applications for the earth and for space environments. Nevertheless, their functionality is intrinsically attached to phase change processes, which, from experience, it is known that they are computationally challenging. The present project arises with the intention to give a numerical solution to this problematic. A solver based on the enthalpy-porosity technique, capable to deal with diffusive-convective phase change has been adapted for OpenFOAM 4.1. For the implementation of the enthalpy technique, the work of Voller Mushy has been closely followed, and a detailed explanation of the equations employed and the assumptions that support them is given. Furthermore, the numerical approach is also specified, with a close attention to the discretization process based on the Finite Volume Method (FVM). The solver algorithm is provided with a deep explanation of its implementation in OpenFOAM. Furthermore, an analysis of the convergence of the numerical solution is provided. Moreover, the works of several authors, have been employed to help in some aspects of the implementation and validation of the solver. As part of this validation, the controversial case of the melting of pure Gallium in a rectangular cavity is computed with the OpenFOAM solver. The author gives some discussion about the results obtained and compares them with the existing literature in order to assess the accuracy of the mathematical model employed. The last part of the project employs the customize solver to analyze the thermal behaviour of a PCM during melting. Three different cases are proposed and tested for two different geometries: one under gravity conditions, where natural convection is part of the heat transfer process, and another two independent of gravity or proper of micro-gravity environments: a pure conductive case and a case with Bénard-Marangoni convection.
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"The book provides a resource for understanding the effluent discharge mechanisms and approaches for modeling them. It bridges the gap between the fundamentals of jets and numerical techniques in hydraulic engineering by integrating the numerical modeling techniques in effluent discharge modeling. The book will benefit both academics and professional engineers working in the area of environmental fluid mechanics and using effluent discharge modeling. With a detailed discussion on performing numerical modeling of effluent discharges in various ambient waters, with different discharge configurations, the book covers the application of OpenFOAM in predictive and regulatory simulations"--
Sewerage. --- Égouts. --- Sewage disposal. --- Eaux usées --- Viscosity. --- Viscosité. --- Programming languages (Electronic computers) --- Langages de programmation. --- Évacuation. --- OpenFOAM (Computer program) --- Égouts. --- Eaux usées --- Viscosité. --- Évacuation.
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Internal combustion engines are by far the most common power source used nowadays: from automobiles and vehicles to electrical power generation, etc. Fossil fuels (e.g., diesel and gasoline) are generally used, which raises serious environmental concerns: damaging the environment, harming the health of humans and other living beings. The exhaust gases generated by the combustion of fossil fuels represent a real and significant risk. Alternatives are being studied nowadays, such as power cells and electric engines, but also natural gas or hydrogen based internal combustion engines. This work is part of a series of tools that GDtech is implementing using OpenFOAM to be applied in the development of new internal combustion engines using either hydrogen or natural gas as fuels. The first tool developed is a re-meshing procedure to simulate a complete engine cycle. While this work provides the tools to evaluate the quality of the mixture within the cylinder. The aim is to provide quantitative criteria to analyse the mixture formation, both spatially and in time, as well as the capacity to decide the optimal situation for combustion. Furthermore, the criteria can be used as comparison tools to benchmark injection nozzles or strategies with respect to the mixture formation. Additionally, the criteria were found to be better to evaluate the dependence between the mesh resolution and the flow results than traditional cylinder’s mean variables. The criteria are general and can be applied for any (gas) mixture The tools are developed in Python using the built-in capabilities of ParaView and are used here to post-process cold RANS simulations and one detached eddy simulation obtained with OpenFoam. The tools are applied to 5 different injection nozzle geometries that introduce hydrogen inside a constant volume cylinder without considering the piston’s dynamic. The same cylinder’s volume is used for all the nozzles. The difficulty to validate the results is the principal limitation. Flow visualisation remain of utmost importance. But new technologies related to image processing through artificial intelligence may present an opportunity to reconstruct experimental results and post-process them in a similar way and with the criteria defined in this work.
CFD --- mixture --- mixing --- mixture quality --- mixing indices --- hydrogen --- combustion --- internal --- engine --- gdtech --- openfoam --- Ingénierie, informatique & technologie > Ingénierie aérospatiale --- Ingénierie, informatique & technologie > Ingénierie mécanique
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With current infrastructure, meeting the ever-growing demand for electrical energy across the globe is becoming increasingly difficult. The widespread adoption of both commercial and residential non-dispatchable renewable energy facilities, such as solar and wind, further taxes the stability of the electrical grid, often causing traditional fossil fuel power plants to operate at lower efficiency, and with increased carbon emissions. Hydropower, as a proven renewable energy technology, has a significant part to play in the future global electrical power market, especially as increasing demand for electric vehicles will further amplify the need for dispatchable energy sources during peak charging times. Even with more than a century of proven experience, significant opportunities still exist to expand the worldwide hydropower resources and more efficiently utilize existing hydropower installations. Given this context, this Special Issue of Energies intended to present recent developments and advancements in hydropower design and operation. This Special Issue includes five articles, authored by international research teams from Japan, Pakistan, Sweden, Norway, the United States, and China. The authors bring the collective expertise of government research laboratories, university professors, industry research engineers, computer scientists, and economists. The articles explore advancements in hydroturbine and pump-turbine design, power plant operation, auxiliary equipment design to mitigate environmental damage, and an exploration of community-owned small hydropower facilities.
community development --- community ownership --- small hydropower --- SHP --- renewable energy --- crowdfunding --- FIT --- community-based business --- agricultural cooperative --- hydropower --- pumped hydro storage --- low-head --- counter-rotating --- pump-turbine --- transient sequences --- shutdown --- startup --- OpenFOAM --- CFD --- sand trap --- sediment transport --- particle --- multiphase --- hybrid power --- neural networks --- pumped-storage hydro --- solar --- photovoltaic --- pump turbine --- pump mode --- slight opening --- flow deflection --- dynamic meshing technique --- n/a
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