Relevant bibliographies by topics / Computational Fluid Dynamics (CFD) model

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Academic literature on the topic 'Computational Fluid Dynamics (CFD) model'

Author: Grafiati
Published: 3 June 2025
Last updated: 13 July 2025

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Journal articles on the topic "Computational Fluid Dynamics (CFD) model"

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Pradeep, Shetty* Trupti P.Wani. "COMPUTATIONAL FLUID DYNAMICS SIMULATION OF PROPELLER FAN." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 10 (2016): 560–66. https://doi.org/10.5281/zenodo.160899.

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Cooling appliances growing demand to cool the ambience with high efficiency requires robust condenser unit. The objective of this work is to predict and correlate the mass flow rate of propeller type axial fan used in condenser unit using Computational Fluid Dynamics (CFD) technique. The flow field is simulated with the finite element Computational Fluid Dynamics CFD solver Altair HyperWorks. The three-dimensional computational domain with Spalart-Allmaras turbulence model is considered to predict the mass flow rate. The present computation is carried out for the axial fan speed of 820 rpm for the steady state condition using moving reference frame approach. The flow rate is correlated with the test results to validate the CFD modeling approach. The correlation level found closer with tested results, hence which will help to improve the futuristic model during conceptual design itself.
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van Driel, Michael R. "Cardioplegia heat exchanger design modelling using computational fluid dynamics." Perfusion 15, no. 6 (2000): 541–48. http://dx.doi.org/10.1177/026765910001500611.

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A new cardioplegia heat exchanger has been developed by Sorin Biomedica. A three-dimensional computer-aided design (CAD) model was optimized using computational fluid dynamics (CFD) modelling. CFD optimization techniques have commonly been applied to velocity flow field analysis, but CFD analysis was also used in this study to predict the heat exchange performance of the design before prototype fabrication. The iterative results of the optimization and the actual heat exchange performance of the final configuration are presented in this paper. Based on the behaviour of this model, both the water and blood fluid flow paths of the heat exchanger were optimized. The simulation predicted superior heat exchange performance using an optimal amount of energy exchange surface area, reducing the total contact surface area, the device priming volume and the material costs. Experimental results confirm the empirical results predicted by the CFD analysis.
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Bao, Henry. "Airfoil design with computational fluid dynamics." Theoretical and Natural Science 11, no. 1 (2023): 7–17. http://dx.doi.org/10.54254/2753-8818/11/20230368.

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In many industries, there is a need to model the flow of air over structural components. With sufficient information from these models, engineers can better implement these parts into a complete design. The purpose of this paper is to provide a model of specific airfoils using computational fluid dynamics (CFD). With computational fluid dynamics, the characteristics of air around an airfoil can be modeled, providing useful data to engineers who could be designing an airfoil or airplane. The CFD calculations are performed using Python, along with the two packages Numpy and Matplotlib. The governing equations of CFD, including Newton's Second Law, small disturbance equation (SDE), wave propagation, etc. are discretized and transformed into partial differentiation equations (PDE). Using the second order derivative of the wave propagation PDE, the SDE can be solved in iterations and plotted on a graph showing the velocity distributions for a particular airfoil. The results from the CFD calculations show general trends in velocity distributions, regardless of airfoil shape. These include a decrease in x-direction velocity at the ends of an airfoil with an increase at the midsection of the airfoil. Also, y-direction velocity is generally positive and increasing at the front of the airfoil, but negative and decreasing at the end of the airfoil. What is important to understand is how different airfoil shapes can change velocity distributions, moving to using 3D CFD calculations, and the possibility of using CFD for modeling airflow over a multitude of objects.[ Henry Bao, the first author, participated in the Illinois junior academy of science state fair, and abstracts of the regional winners' presentations were posted online. (ilacadofsci.com)]
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Chanel, Paul G., and John C. Doering. "Assessment of spillway modeling using computational fluid dynamics." Canadian Journal of Civil Engineering 35, no. 12 (2008): 1481–85. http://dx.doi.org/10.1139/l08-094.

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Throughout the design and planning period for future hydroelectric generating stations, hydraulic engineers are increasingly integrating computational fluid dynamics (CFD) into the process. As a result, hydraulic engineers are interested in the reliability of CFD software to provide accurate flow data for a wide range of structures, including a variety of different spillways. In the literature, CFD results have generally been in agreement with physical model experimental data. Despite past success, there has not been a comprehensive assessment that looks at the ability of CFD to model a range of different spillway configurations, including flows with various gate openings. In this article, Flow-3D is used to model the discharge over ogee-crested spillways. The numerical model results are compared with physical model studies for three case study evaluations. The comparison indicates that the accuracy of Flow-3D is related to the parameter P/Hd.
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Gonzales, Howell B., John Tatarko, Mark E. Casada, Ronaldo G. Maghirang, Lawrence J. Hagen, and Charles J. Barden. "Computational Fluid Dynamics Simulation of Airflow through Standing Vegetation." Transactions of the ASABE 62, no. 6 (2019): 1713–22. http://dx.doi.org/10.13031/trans.13449.

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Abstract. Maintaining vegetative cover on the soil surface is the most widely used method for control of soil loss by wind erosion. We numerically modeled airflow through artificial standing vegetation (i.e., simulated wheat plants) using computational fluid dynamics (CFD). A solver (simpleFoam within the OpenFOAM software architecture) was used to simulate airflow through various three-dimensional (3D) canopy structures in a wind tunnel, which were created using another open-source CAD geometry software (Salomé ver. 7.2). This study focused on two specific objectives: (1) model airflow through standing vegetation using CFD, and (2) compare the results of a previous wind tunnel study with various artificial vegetation configurations to the results of the CFD model. Wind speeds measured in the wind tunnel experiment differed slightly from the numerical simulation using CFD, especially near positions where simulated vegetation was present. Effective drag coefficients computed using wind profiles did not differ significantly (p <0.05) between the experimental and simulated results. Results of this study will provide information for research into other types of simulated stubble or sparse vegetation during wind erosion events.HighlightsMeasured airflow through a simulated canopy was successfully modeled using CFD software.Effective drag coefficients did not differ between the experimental and simulated results.Results of this study provide 3-D simulation data of wind flow through a plant canopy. Keywords: 3-D canopy structure, OpenFOAM, Wind erosion, Wind tunnel studies.
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Liu, Qiang, Wei Zhu, Feng Ma, Xiyu Jia, Yu Gao, and Jun Wen. "Graph attention network-based fluid simulation model." AIP Advances 12, no. 9 (2022): 095114. http://dx.doi.org/10.1063/5.0122165.

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Traditional computational fluid dynamics (CFD) techniques deduce the dynamic variations in flow fields by using finite elements or finite differences to solve partial differential equations. CFD usually involves several tens of thousands of grid nodes, which entail long computation times and significant computational resources. Fluid data are usually irregular data, and there will be turbulence in the flow field where the physical quantities between adjacent grid nodes are extremely nonequilibrium. We use a graph attention neural network to build a fluid simulation model (GAFM). GAFM assigns weights to adjacent node-pairs through a graph attention mechanism. In this way, it is not only possible to directly calculate the fluid data but also to adjust for nonequilibrium in vortices, especially turbulent flows. The GAFM deductively predicts the dynamic variations in flow fields by using spatiotemporally continuous sample data. A validation of the proposed GAFM against the two-dimensional (2D) flow around a cylinder confirms its high prediction accuracy. In addition, the GAFM achieves faster computation speeds than traditional CFD solvers by two to three orders of magnitude. The GAFM provides a new idea for the rapid optimization and design of fluid mechanics models and the real-time control of intelligent fluid mechanisms.
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Yeo, Hyeonsoo, Mark Potsdam, and Robert A. Ormiston. "Rotor Aeroelastic Stability Analysis Using Coupled Computational Fluid Dynamics/Computational Structural Dynamics." Journal of the American Helicopter Society 56, no. 4 (2011): 1–16. http://dx.doi.org/10.4050/jahs.56.042003.

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Computational fluid dynamics/computational structural dynamics (CFD/CSD) coupling was successfully applied to the rotor aeroelastic stability problem to calculate lead–lag regressing mode damping of a hingeless rotor in hover and forward flight. A direct time domain numerical integration of the equations in response to suitable excitation was solved using a tight CFD/CSD coupling. Two different excitation methods—swashplate cyclic pitch and blade tip lead–lag force excitations—were investigated to provide suitable blade transient responses. The free decay transient response time histories were postprocessed using the moving-block method to determine the damping as a function of the rotor operating conditions. Coupled CFD/CSD analysis results are compared with the experimentally measured stability data obtained for a 7.5-ft-diameter Mach-scale hingeless rotor model as well as stability predictions using the comprehensive analysis Rotorcraft Comprehensive Analysis System (RCAS). The coupled CFD/CSD predictions agreed more closely with the experimental lead–lag damping measurements than RCAS predictions based on conventional aerodynamic methods, better capturing key features in the damping trends.
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Wang, Rui Li, Xiao Liang, Wen Zhou Lin, Xue Zhe Liu, and Yun Long Yu. "Verification and Validation of a Detonation Computational Fluid Dynamics Model." Defect and Diffusion Forum 366 (April 2016): 40–46. http://dx.doi.org/10.4028/www.scientific.net/ddf.366.40.

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Verification and validation (V&V) are the primary means to assess the accuracy and reliability in computational fluid dynamics (CFD) simulation. V&V of the multi-medium detonation CFD model is conducted by using our independently-developed software --- Lagrangian adaptive hydrodynamics code in the 2D space (LAD2D) as well as a large number of benchmark testing models. Specifically, the verification of computational model is based on the basic theory of the computational scheme and mathematical physics equations, and validation of the physical model is accomplished by comparing the numerical solution with the experimental data. Finally, some suggestions are given about V&V of the detonation CFD model.
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Chew, J. W., and N. J. Hills. "Computational fluid dynamics and virtual aeroengine modelling." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223, no. 12 (2009): 2821–34. http://dx.doi.org/10.1243/09544062jmes1597.

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Use of large-scale computational fluid dynamics (CFD) models in aeroengine design has grown rapidly in recent years as parallel computing hardware has become available. This has reached the point where research aimed at the development of CFD-based ‘virtual engine test cells’ is underway, with considerable debate of the subject within the industrial and research communities. The present article considers and illustrates the state-of-the art and prospects for advances in this field. Limitations to CFD model accuracy, the need for aero-thermo-mechanical analysis through an engine flight cycle, coupling of numerical solutions for solid and fluid domains, and timescales for capability development are considered. While the fidelity of large-scale CFD models will remain limited by turbulence modelling and other issues for the foreseeable future, it is clear that use of multi-scale, multi-physics modelling in engine design will expand considerably. Development of user-friendly, versatile, efficient programs and systems for use in a massively parallel computing environment is considered a key issue.
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Md., Saifur Rahman. "Computational Fluid Dynamics for Predicting and Controlling Fluid Flow in Industrial Equipment." European Journal of Advances in Engineering and Technology 11, no. 9 (2024): 1–9. https://doi.org/10.5281/zenodo.13788680.

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Computational Fluid Dynamics (CFD) has become a pivotal tool in predicting and controlling fluid flow within industrial equipment, offering significant advantages in optimizing performance and efficiency. This paper presents a comprehensive study of CFD applications in various industrial contexts, focusing on the modeling and analysis of fluid flow to enhance equipment design and operation. The study encompasses the development and implementation of CFD models to simulate complex flow dynamics in equipment such as pumps, turbines, heat exchangers, and reactors. Key aspects include the validation of CFD models against experimental data, the application of advanced turbulence models, and the integration of CFD results into design optimization processes. The paper highlights case studies where CFD has been instrumental in diagnosing performance issues, improving energy efficiency, and reducing operational costs. Additionally, it addresses challenges such as mesh generation, numerical accuracy, and the handling of multiphase flows. By providing insights into state-of-the-art CFD techniques and their practical implications, this study underscores the transformative impact of CFD on industrial equipment design and operational strategies, paving the way for more efficient and reliable industrial systems.
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Dissertations / Theses on the topic "Computational Fluid Dynamics (CFD) model"

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Roberge, Jennifer Anne. "Use of Computational Fluid Dynamics (CFD) to Model Flow at Pump Intakes." Digital WPI, 1999. https://digitalcommons.wpi.edu/etd-theses/1046.

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"This thesis presents a series of physical experiments and numerical simulations intended to determine whether the use of commercially available computational fluid dynamics (CFD) software may provide a viable alternative to the use of physical models for predicting the occurrence of vortices and swirl in pump intakes. The physical experiments were set up at Alden Research Laboratories, Inc. (ARL) of Holden, Massachusetts, using a simple pump intake model donated by ARL for use in this study. Swirl and velocity measurements and dye injections were used to characterize the flow in the physical model. Three flow conditions were chosen for the physical experiments because they demonstrated swirl and vortices developing at the pump intake. Once the physical experiments were performed, FIDAP, a general-purpose finite-element CFD package, was used to simulate the circulation patterns in the vicinity of a pump intake. The model configuration and scale were selected to simulate experimental conditions in the physical pump intake model. Some similarities were also identified in the locations of the models predicted vortex characteristics and the vortex characteristics that were observed in the experimental facility. However, the characteristics of swirl within the pump intake differed from experimental observations. Therefore, additional simulations were conducted to analyze the sensitivity of simulations to model assumptions. These additional simulations showed that the assumptions related to these model parameters have minor affects on the general nature of the predicted vortices, but do affect the predicted vortex strength. This thesis represents a first step in addressing the discrepancies between numerical and experimental results. Additional investigations are recommended to clarify the applicability of CFD to address pump intake problems."
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Cook, Malcolm J. "An evaluation of computational fluid dynamics for modelling buoyancy-driven displacement ventilation." Thesis, De Montfort University, 1998. http://hdl.handle.net/2086/4168.

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Karim, Abbas Adel. "Application of a computational fluid dynamics (CFD) approach to model atmospheric air pollution." Thesis, London South Bank University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618684.

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Landázuri, Andrea Carolina. "Aerosol Transport Simulations in Indoor and Outdoor Environments using Computational Fluid Dynamics (CFD)." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/612539.

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This dissertation focuses on aerosol transport modeling in occupational environments and mining sites in Arizona using computational fluid dynamics (CFD). The impacts of human exposure in both environments are explored with the emphasis on turbulence, wind speed, wind direction and particle sizes. Final emissions simulations involved the digitalization process of available elevation contour plots of one of the mining sites to account for realistic topographical features. The digital elevation map (DEM) of one of the sites was imported to COMSOL MULTIPHYSICS® for subsequent turbulence and particle simulations. Simulation results that include realistic topography show considerable deviations of wind direction. Inter-element correlation results using metal and metalloid size resolved concentration data using a Micro-Orifice Uniform Deposit Impactor (MOUDI) under given wind speeds and directions provided guidance on groups of metals that coexist throughout mining activities. Groups between Fe-Mg, Cr-Fe, Al-Sc, Sc-Fe, and Mg-Al are strongly correlated for unrestricted wind directions and speeds, suggesting that the source may be of soil origin (e.g. ore and tailings); also, groups of elements where Cu is present, in the coarse fraction range, may come from mechanical action mining activities and saltation phenomenon. Besides, MOUDI data under low wind speeds (<2 m/s) and at night showed a strong correlation for particles 1-micrometer in diameter between the groups: Sc-Be-Mg, Cr-Al, Cu-Mn, Cd-Pb-Be, Cd-Cr, Cu-Pb, Pb-Cd, As-Cd-Pb. The As-Cd-Pb group correlates strongly in almost all ranges of particle sizes. When restricted low wind speeds were imposed more groups of elements are evident and this may be justified with the fact that at lower speeds particles are more likely to settle. When linking these results with CFD simulations and Pb-isotope results it is concluded that the source of elements found in association with Pb in the fine fraction come from the ore that is subsequently processed in the smelter site, whereas the source of elements associated to Pb in the coarse fraction is of different origin. CFD simulation results will not only provide realistic and quantifiable information in terms of potential deleterious effects, but also that the application of CFD represents an important contribution to actual dispersion modeling studies; therefore, Computational Fluid Dynamics can be used as a source apportionment tool to identify areas that have an effect over specific sampling points and susceptible regions under certain meteorological conditions, and these conclusions can be supported with inter-element correlation matrices and lead isotope analysis, especially since there is limited access to the mining sites. Additional results concluded that grid adaption is a powerful tool that allows to refine specific regions that require lots of detail and therefore better resolve flow detail, provides higher number of locations with monotonic convergence than the manual grids, and requires the least computational effort. CFD simulations were approached using the k-epsilon model, with the aid of computer aided engineering software: ANSYS® and COMSOL MULTIPHYSICS®. The success of aerosol transport simulations depends on a good simulation of the turbulent flow. A lot of attention was placed on investigating and choosing the best models in terms of convergence, independence and computational effort. This dissertation also includes preliminary studies of transient discrete phase, eulerian and species transport modeling, importance of saltation of particles, information on CFD methods, and strategies for future directions that should be taken.
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Ma, Rui. "Development and experimental validation of a CFD model for Pd-based membrane technology in H2 separation and process intensification." Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-dissertations/544.

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Syngas production and hydrogen separation technologies are very mature, and also extremely important for energy and chemical industries. Furthermore, these processes are the most expensive elements for many applications such as hydrogen production from renewable sources. Enhancing or intensifying these very mature technologies is very challenging, but would have tremendous impact on the performance and economics of many processes. Traditional Integrated Gasification Combined Cycle (IGCC) for syngas production need to include a carbon capture process in order to regulate their carbon dioxide emission as more and more countries and regions have implemented carbon tax policy. Integration of this process with Pd membrane has long been considered a key component to make it more feasible. With these two technologies combined together, we can produce high purity hydrogen while capturing carbon dioxide and toxic gases from the syngas product. Besides, although manufacturing the membrane reactor is expensive, after considering the carbon tax factor, it actually is more economically preferable compare with the traditional Pressure Swing Adsorption (PSA) process. Most research on Pd membrane technology has been conducted at lab scale; nonetheless, the contribution of a palladium membrane technology to economic and societal development requires its commercialization, diffusion and utilization. To generate enough incentives for commercialization, it is necessary to demonstrate the scalability and robustness of the membranes in industrial settings. Consequently, a multitube membrane module suitable for IGCC system was designed and manufactured and sent to National Carbon Capture Center (NCCC) for testing. This work developed a Computational Fluid Dynamics (CFD) model for the module and validated the model utilizing the pilot-scale experimental data generated under industrial conditions. The model was then up-scaled and used to determine the intrinsic phenomena of palladium membrane scale up. This study reveals the technical/engineering requirements for the effective design of large-scale multitube membrane modules. Mass transfer limitations and concentration polarization effects were studied quantitatively with the developed model. Methods for diminishing the concentration polarization effect were proposed and tested through the simulations such as i) increasing convective forces and ii) designing baffles to create gas recirculation. For scaled-up membrane modules, mass transfer limitation is an important parameter to consider as large modules showed severe concentration polarization effects. IGCC systems produce H2 from coal combustion; other ways of H2 production include steam-reforming processes, using natural gas or bio-ethanol as the reactant. The product contains a mixture of H2, CH4, CO, CO2 and steam. Thus, steam-reforming processes are often followed by a Pressure Swing Adsorption (PSA) unit in order to obtain pure hydrogen. Palladium membrane, on the other hand, can be integrated with steam-reforming processes and achieve the simultaneous production and purification of H2 in a single unit by reaching process intensification. Higher H2 production rate can be reached by process intensification as one of the products H2 is constantly being removed. Temperature control is a very important topic in steam reforming processes, as the reaction is overall highly endothermic; although implementing an in-unit membrane improves H2 production rate, it also makes the temperature control more difficult as the reaction equilibrium is altered by the removal of one of the products H2. Hereby, an experimental study of catalytic membrane reactor (CMR) was carried out along with both isothermal and non-isothermal CFD simulations that are validated by the experimental data in order to visualize the temperature distribution inside the reactor and understand the influence of the operating conditions including temperature, pressure and the sweep gas flow patter on the permeate side.
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Lundberg, Karl. "Development of a CFD Model for a Rotating Bed Reactor in Large Volumes." Thesis, Umeå universitet, Institutionen för fysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-136101.

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Den roterande bäddreaktornSpinChem® RBR S2 kan fyllas med solida partiklar och sänkas ned och roteras ien vätska. Detta gör att kemiska reaktioner mellan vätskan och partiklarna iRBR:en kan äga rum.Flödet från en RBR S2 i en 76 dm3 stor vattentank undersöktes med hjälp avsimuleringar i ANSYS Fluent 18.0. Den tid som krävdes för ett färgämne attsprida sig jämnt i vattentanken på grund av flödet från RBR:en mättes i ettexperiment och jämfördes med motsvarande simuleringar. Mixningstiderna frånexperimentet visade att det krävdes i genomsnitt 161 s för färgämnet att blijämnt fördelat, medan simuleringarna överskattade denna tid med ungefär 89 %.En simuleringsmodell för att avgöra hur mycket av en vätska som varit i kontaktmed partiklarna i RBR:en efter en given tid togs fram och testades.Simuleringarna visade att ungefär 8660 s krävdes för att 95 % av vätskan ivattentanken skulle ha varit i kontakt med partiklarna. Denna tid verifieradesdock inte med experiment.<br>The rotating bed reactorSpinChem® RBR S2 can be filled with solid particles and submerged into a liquidwhere it is rotated, which allows for chemical reactions to occur between theliquid and the particles.The flow in a 76 dm3 large tank of water due to the rotating RBR S2 wasinvestigated using simulations performed in ANSYS Fluent 18.0. The timerequired for a colouring agent to become uniformly mixed in the tank due to theflow from the device was measured in a practical experiment and was compared tosimulations. The mixing times obtained in the practical experiment were onaverage approximately 161 s, whereas the times obtained in the simulationoverpredicted this with approximately 89 %.A simulation model for determining how much of a liquid has been in contactwith the particles in the RBR after a given amount of time was suggested andtested. The simulation results showed that approximately 8660 s was requriedfor 95 % of the liquid to be in contact with the porous bed, although this timewas not verified experimentally.
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Curry, Jacob Michael. "Subregion meshing for multiblock models." Thesis, Queen's University Belfast, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322619.

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Kanyabujinja, Nshuti Placide. "CFD modelling of ogee spillway hydraulics and comparison with physical model tests." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/96787.

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Thesis (MEng)--Stellenbosch University, 2015.<br>ENGLISH ABSTRACT: Modern Computational Fluid Dynamics modelling (CFD) are becoming common design and analysis tools in the engineering field. Nowadays, project designs involve the use of CFD techniques along with physical scale modelling to analyse the complex rapidly varied and turbulent flows which would not be easily analysed by physical modelling. In particular, the consideration and/or use of CFD modelling in the Hydraulic Engineering field remains on the increase. Apart from being used for comparison with other design techniques, CFD may in future become a standalone modelling technique in hydraulic structures design. This research aims to use CFD models to validate the simulation of the flow over two ogee dam spillways which are installed in the Hydraulic Laboratory of Stellenbosch University. To achieve this simulation of the flow which involves an interaction between water and air, the flow behaviour has been mapped by the Volume of Fluid (VOF) and the realisable "𝑘−𝜀" turbulence numerical models. The Volume of Fluid (VOF) and the realisable "𝑘−𝜀" models simulate the free surface of two-phase flow and the flow turbulence, respectively. Firstly, the study embarks with details on the actual design approaches of a typical ogee dam spillway. It subsequently presents the geometry and dimensions of the physical models, the testing procedure and the experimental test results achieved from this modelling exercise. For CFD modelling, a commercially available Computational Fluid Dynamics (CFD) package, Ansys-Fluent, was used. To model the physical model, the use of Reynolds-averaged Navier-Stokes equations in combination with the realisable k-ε eddy-viscosity closure model was adopted. The process of CFD model development and the underlying theory of it are discussed in this thesis. Different test scenarios including steady and fully hydrodynamic states simulation for two and three-dimensional geometries were considered in this simulation to achieve the most accurate results. In order to determine the required mesh size, the mesh sensitivity tests were conducted on the 2 dimensional and 3 dimensional models. Finally, the pressure readings and water levels produced by numerical models are discussed through a validation process by comparing the CFD model results with the results obtained from physical models. The outcome proved that CFD models are able to map the behaviour of both flow phases since they exhibited a close correlation to those achieved in the physical models. Even though some slight differences in values were revealed, the graphical trend remains reasonably similar for all test results.<br>AFRIKAANSE OPSOMMING: Moderne gerekenariseerde vloeidinamika numeriese modelle (CFD) word deesdae dikwels deur ingenieurs gebruik. Projekontwerpe sluit tans die gebruik van CFD tegnieke asook fisiese skaalmodellering in om komplekse, vinnig-veranderede en turbulente vloei te ontleed. Hierdie tipe vloeie is moeilik om met fisiese modellering te ontleed. Die gebruik van CFD numeriese modelle in hidrouliese ingenieurswese is besig om toe te neem, Die bevindinge van CFD modelering word tans vergelyk met die bevindinge van ander ontwerptegnieke, maar in die toekoms mag dit moontlik gebruik word as die enigste modelleringstegniek in hidrouliese struktuurontwerp. Die doel met hierdie navorsing is om CFD modelering te gebruik om die vloei oor twee ogee-vormige afvoergeute wat in die hidrouliese labrotorium van die Universiteit van Stellenbosch ge-installeer is, te ondersoek. Ten einde hierdie vloei, wat die interaksie tussen water en lug insluit, te simuleer, is die vloeigedrag deur ”volume van vloeistof” (VOF) en die "𝑘−𝜀" turbulensie numeriese modules, gemodeleer. Die VOF en "𝑘−𝜀" numeriese modules simuleer onderskeidelik die vry oppervlakte vloei van die twee-fase vloei en turbulente vloei. Die ontwerp van ’n tipiese ”ogee”-tipe dam oorloop word bespreek, gevolg deur die beskrywing van die geometrie van die fisiese modelle, die toetsprosedure en die eksperimentele toetsresultate. Vir die CFD modellering is die CFD pakket, Ansys-Fluent, gebruik. Vir die simulering van die fisiese model is die Reynolds-gemiddeld Navier-Stokes vergelykings tesame met die k-ε eddy-viskositeit geslote module gebruik. Die proses van CFD ontwikkeling en die onderliggende teorie daarvan word bespreek. Verskillende toets-scenario’s wat 2D en 3D simulasies insluit, uitgevoer. Ten einde die toepaslike berekeningsrooster grootte vir die numeriese model te verkry, is sensitiewiteitstoetse uitgevoer op die twee- en drie-dimensionele numeriese modelle. Laastens is die CFD numeries gesimuleerde drukke en die watervlakke met die van die fisiese modelle vergelyk om die akkuraatheid van die CFD resultate te verkry. Die uitkomstes het getoon dat CFD modelle gebruik kan word om die gedrag van albei vloei fases te simuleer aangesien dit goed vergelyk het met die uitkomstes van die fisiese modellering. Daar was wel klein verskille in die druk waardes, maar die tendense in drukverspreiding was ooreenstemmend.
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Fabritius, Björn. "Application of genetic algorithms to problems in computational fluid dynamics." Thesis, University of Exeter, 2014. http://hdl.handle.net/10871/15236.

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In this thesis a methodology is presented to optimise non–linear mathematical models in numerical engineering applications. The method is based on biological evolution and uses known concepts of genetic algorithms and evolutionary compu- tation. The working principle is explained in detail, the implementation is outlined and alternative approaches are mentioned. The optimisation is then tested on a series of benchmark cases to prove its validity. It is then applied to two different types of problems in computational engineering. The first application is the mathematical modeling of turbulence. An overview of existing turbulence models is followed by a series of tests of different models applied to various types of flows. In this thesis the optimisation method is used to find improved coefficient values for the k–ε, the k–ω-SST and the Spalart–Allmaras models. In a second application optimisation is used to improve the quality of a computational mesh automatically generated by a third party software tool. This generation can be controlled by a set of parameters, which are subject to the optimisation. The results obtained in this work show an improvement when compared to non–optimised results. While computationally expensive, the genetic optimisation method can still be used in engineering applications to tune predefined settings with the aim to produce results of higher quality. The implementation is modular and allows for further extensions and modifications for future applications.
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Barrows, Sean Thomas. "TURBO Turbulence Model Validation with Recommendations to Tip-Gap Modeling." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1213373781.

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Books on the topic "Computational Fluid Dynamics (CFD) model"

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Ward, S. C. Validation of a CFD model for predicting film cooling performance. American Institute of Aeronautics and Astronautics, 1993.

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Engineers, Society of Automotive, and International Off-Highway & Powerplant Congress & Exposition (1996 : Indianapolis, Ind.), eds. CFD and engine modeling. Society of Automotive Engineers, 1996.

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Association for Iron & Steel Technology, Minerals, Metals and Materials Society. Extraction and Processing Division. Process Technology and Modeling Committee, TMS Solidification Committee, and Minerals, Metals and Materials Society. Annual Meeting, eds. CFD modeling and simulation in materials processing. John Wiley & Sons, 2012.

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L, Zervas P., ed. CFD modeling and optimization of fuel-cell systems. Nova Science Publishers, 2008.

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Center, Langley Research, ed. Aeroelastic calculations using CFD for a typical business jet model. National Aeronautics and Space Administration, Langley Research Center, 1996.

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Mather A. R. Sadiq Al-Baghdadi. CFD models for analysis and design of PEM fuel cells CFD models for analysis & design of PEM fuel cells. Nova Science Publishers, 2008.

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Cavicchi, Richard H. A three-dimensional CFD investigation of secondary flow in an accelerating, 90 ̊elbow. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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Center, NASA Glenn Research, ed. A three-dimensional CFD investigation of secondary flow in an accelerating, 90 ̊elbow. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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NASA Workshop on Surface Modeling, Grid Generation, and Related Issues in Computational Fluid Dynamics (CFD) Solutions (1995 NASA Lewis Research Center). Surface modeling, grid generation, and related issues in computational fluid dynamic (CFD) solutions: Proceedings of a workshop. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1995.

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Maher A. R. Sadiq Al-Baghdadi. CFD modeling and analysis of different novel designs of air-breathing PEM fuel cells. Nova Science Publishers, 2009.

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Book chapters on the topic "Computational Fluid Dynamics (CFD) model"

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Lane, S. N., R. J. Hardy, R. I. Ferguson, and D. R. Parsons. "A Framework for Model Verification and Validation of CFD Schemes in Natural Open Channel Flows." In Computational Fluid Dynamics. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470015195.ch8.

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Périaux, J., M. Sefrioui, E. J. Whitney, L. Gonzalez, K. Srinivas, and J. Wang. "Evolutionary Algorithms, Game Theory and Hierarchical Models in CFD." In Computational Fluid Dynamics 2002. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59334-5_145.

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Horritt, M. S. "Parameterisation, Validation and Uncertainty Analysis of CFD Models of Fluvial and Flood Hydraulics in the Natural Environment." In Computational Fluid Dynamics. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470015195.ch9.

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Ishida, Fujimaro, Masanori Tsuji, Satoru Tanioka, Katsuhiro Tanaka, Shinichi Yoshimura, and Hidenori Suzuki. "Computational Fluid Dynamics for Cerebral Aneurysms in Clinical Settings." In Acta Neurochirurgica Supplement. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63453-7_4.

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AbstractHemodynamics is thought to play an important role in the pathogenesis of cerebral aneurysms and recent development of computer technology makes it possible to simulate blood flow using high-resolution 3D images within several hours. A lot of studies of computational fluid dynamics (CFD) for cerebral aneurysms were reported; therefore, application of CFD for cerebral aneurysms in clinical settings is reviewed in this article.CFD for cerebral aneurysms using a patient-specific geometry model was first reported in 2003 and it has been revealing that hemodynamics brings a certain contribution to understanding aneurysm pathology, including initiation, growth and rupture. Based on the knowledge of the state-of-the-art techniques, this review treats the decision-making process for using CFD in several clinical settings. We introduce our CFD procedure using digital imaging and communication in medicine (DICOM) datasets of 3D CT angiography or 3D rotational angiography. In addition, we review rupture status, hyperplastic remodeling of aneurysm wall, and recurrence of coiled aneurysms using the hemodynamic parameters such as wall shear stress (WSS), oscillatory shear index (OSI), aneurysmal inflow rate coefficient (AIRC), and residual flow volume (RFV).
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Szubel, Mateusz, Mariusz Filipowicz, Karolina Papis-Frączek, and Maciej Kryś. "A Practical Look at the Steps of CFD Model Development." In Computational Fluid Dynamics in Renewable Energy Technologies. CRC Press, 2023. http://dx.doi.org/10.1201/9781003202226-3.

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Nozaleda, Guillermo L., Sofia Poloni, Luca Soliveri, and Kristian Valen-Sendstad. "Impact of Modeling Assumptions on Hemodynamic Stresses in Predicting Cerebral Aneurysm Rupture Status." In Computational Physiology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53145-3_7.

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AbstractApproximately 3% of the population is estimated to have cerebral aneurysms, which are the leading cause of subarachnoid haemorrhage. Convincing evidences suggest that wall shear stresses (WSS) play a role in vessel remodeling and in the development of vascular diseases. SinceWSS cannot be directly measured, researchers have resorted to using medical images available in routine clinical practice to simulate computational fluid dynamics (CFD) and investigate patient-specific vascular conditions. They retrospectively analyse the correlation between WSS and disease outcomes to find potential clinical tools for future use. However, most of these models are based on assumptions that introduce variability and error. In this work we investigated the effects of a non-Newtonian viscosity model and inflow uncertainty on the prediction of commonly computed hemodynamic metrics. Our results show a substantial influence of the non-Newtonian model and blood flow rate on CFD outcomes, highlighting the need of incorporating non-Newtonian rheology and patient-specific blood flow measurements in CFD simulations.
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Sethuramalingam, Ramamoorthy, and Abhishek Asthana. "Design Improvement of Water-Cooled Data Centres Using Computational Fluid Dynamics." In Springer Proceedings in Energy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_14.

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AbstractData centres are complex energy demanding environments. The number of data centres and thereby their energy consumption around the world is growing at a rapid rate. Cooling the servers in the form of air conditioning forms a major part of the total energy consumption in data centres and thus there is an urgent need to develop alternative energy efficient cooling technologies. Liquid cooling systems are one such solution which are in their early developmental stage. In this article, the use of Computational Fluid Dynamics (CFD) to further improve the design of liquid-cooled systems is discussed by predicting temperature distribution and heat exchanger performance. A typical 40 kW rack cabinet with rear door fans and an intermediate air–liquid heat exchanger is used in the CFD simulations. Steady state Reynolds-Averaged Navier–Stokes modelling approach with the RNG K-epsilon turbulence model and the Radiator boundary conditions were used in the simulations. Results predict that heat exchanger effectiveness and uniform airflow across the cabinet are key factors to achieve efficient cooling and to avoid hot spots. The fundamental advantages and limitations of CFD modelling in liquid-cooled data centre racks were also discussed. In additional, emerging technologies for data centre cooling have also been discussed.
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Kazidenov, Daniyar, Sagyn Omirbekov, and Yerlan Amanbek. "Optimal Time-Step for Coupled CFD-DEM Model in Sand Production." In Computational Science and Its Applications – ICCSA 2023 Workshops. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37111-0_9.

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AbstractThe coupled Computational Fluid Dynamics and Discrete Element Method (CFD-DEM) is a useful tool for modeling the dynamics of sand production that occurs in oil and gas reservoirs. To perform accurate, physically relevant and efficient calculations, the optimal size of the simulation time-step should be selected. In this study, we investigate the selection of an appropriate time-step interval between CFD and DEM models in sand production simulations. The CPU time, speedup and root mean squared relative error of the obtained results are examined to compare the sand production phenomenon at different coupling numbers. Most of the results including the final sand production rate, bond number and bond ratio indicate that the simulations with coupling numbers of N = 10 and N = 100 produce more accurate results. Moreover, these outcomes demonstrate significant improvements in terms of acceleration of the modeling process.
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Martens, Johannes, Sabine Panzer, Jeroen P. H. M. van den Wijngaard, Maria Siebes, and Laura M. Schreiber. "Development of a Computational Fluid Dynamics (CFD)-Model of the Arterial Epicardial Vasculature." In Functional Imaging and Modeling of the Heart. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21949-9_24.

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Sethuramalingam, R., Abhishek Asthana, S. Xygkaki, et al. "Energy Demand Reduction in Data Centres Using Computational Fluid Dynamics." In Springer Proceedings in Energy. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30960-1_26.

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AbstractA data centre is a facility where it hosts the server systems, computer systems, and its associated components such as cooling units, redundancy power supplies and power storage systems. Data centres are a very energy-demanding sector. Data Centre Dynamics magazine forecasts that by 2025, Data Centres will consume more than 2% of the global electricity supply. Due to this forecast, it is become vital to reduce the energy consumption in the data centre industry. On average, data centres use 30–50% of their total energy supply on mechanical cooling to cool their IT equipment. However, many of them still have difficulties with high-temperature regions such as hot spots in the server data hall which contributes to server downtime. Along with this, the power densities of the data centres are on the rise as the telecommunication industry at exponential growth over the years. This inefficiency in the temperature distribution can be resolved through advanced computational fluid dynamics software. It also becomes essential to expand the use of CFD (computational fluid dynamics) into key sections of Data Centre design, to reduce thermal inefficiencies. It is necessary to identify the potential issues at the initial stages to deliver efficient solutions which will work at a low Power Usage Effectiveness (PUE), to future-proof data centre facilities. This paper outlines the importance of a computational fluid dynamics (CFD) analysis in the data centre design. The mock-up data centre internal and external models are analysed in 6Sigma Software. The various parameters were investigated to optimise the energy performance of the infrastructure. The results also provided the analysis of the data hall with detailed rack inlet and 3D modelling of the data hall, external simulations with chillers and generators inlet temperatures highlighting trouble areas. Additional to this, Water cooled, and Air-cooled chiller performance comparison also studied and concluded that Water cooled chiller performance well than Air cooled chiller. Having the data hall air supply temperature 27 °C than 24 °C, has improved the energy efficiency in the data centre. The model developed in this study can be used as a benchmark study for the present and future thermal optimization of data centres.
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Conference papers on the topic "Computational Fluid Dynamics (CFD) model"

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Papadimitriou, Dimitrios I., and Costas Papadimitriou. "Optimal Sensor Location for Model Parameter Estimation in CFD." In 21st AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-3091.

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Luu, Van Thuan, Christophe Grignon, and Frédérric PLOURDE. "Toward a CFD/6 DOF Coupled Model Enhancing Projectile Trajectory Prediction." In 21st AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-2591.

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Cavotta, Marilou, Mohammad Hotait, and Avinash Singh. "A Computational Fluid Dynamics (CFD) Model for Gear Churning." In WCX World Congress Experience. SAE International, 2018. http://dx.doi.org/10.4271/2018-01-0401.

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Bush, R., and R. Bush. "Engine face and screen loss models for CFD applications." In 13th Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-2076.

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Bui-Thanh, Tan, and Karen Willcox. "Model Reduction for Large-Scale CFD Applications Using Balanced Proper Orthogonal Decomposition." In 17th AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-4617.

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Willcox, Karen, and Alexandre Megretski. "Fourier Series for Accurate, Stable, Reduced-Order Models for Linear CFD Applications." In 16th AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-4235.

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Zahr, Matthew J., David Amsallem, and Charbel Farhat. "Construction of Parametrically-Robust CFD-Based Reduced-Order Models for PDE-Constrained Optimization." In 21st AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-2845.

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Amsallem, David, Matthew J. Zahr, and Charbel Farhat. "On the Accuracy and Convergence of Minimum-Residual-Based Nonlinear Reduced-Order Models in CFD." In 21st AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-2447.

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Ellison, T. K., D. T. Hatziavramidis, B. Sun, and D. Gidaspow. "Computational Fluid Dynamics (CFD) Model for Phase Separation at Branching Tee Junctions." In SPE Western Regional Meeting. Society of Petroleum Engineers, 1997. http://dx.doi.org/10.2118/38274-ms.

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Gleyzes, Christian, and Guy Pailhas. "Flow control using continuous fluidic vortex generators: validation of a simple CFD model of the interaction between a boundary layer and an inclined jet." In 20th AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-3849.

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Reports on the topic "Computational Fluid Dynamics (CFD) model"

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Meidani, Hadi, and Amir Kazemi. Data-Driven Computational Fluid Dynamics Model for Predicting Drag Forces on Truck Platoons. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-036.

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Fuel-consumption reduction in the truck industry is significantly beneficial to both energy economy and the environment. Although estimation of drag forces is required to quantify fuel consumption of trucks, computational fluid dynamics (CFD) to meet this need is expensive. Data-driven surrogate models are developed to mitigate this concern and are promising for capturing the dynamics of large systems such as truck platoons. In this work, we aim to develop a surrogate-based fluid dynamics model that can be used to optimize the configuration of trucks in a robust way, considering various uncertainties such as random truck geometries, variable truck speed, random wind direction, and wind magnitude. Once trained, such a surrogate-based model can be readily employed for platoon-routing problems or the study of pavement performance.
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Hawley, Owston, and Thorson. PR-015-13610-R01 Effect of Upstream Piping Configuration on Ultrasonic Meter Bias - Flow Validation. Pipeline Research Council International, Inc. (PRCI), 2014. http://dx.doi.org/10.55274/r0010033.

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This research demonstrated the ability of a Computational Fluid Dynamics (CFD) modeling approach to predict the severity of velocity profile disturbances in two different header configurations with AGA-9 default meter runs. The CFD model was also used to predict the flow measurement error based on the ultrasonic path geometry from four commercially-available ultrasonic flow meters. In addition to the CFD modeling, this project experimentally tested the same two header configurations in a natural gas flow loop. The results from the experimental testing were used to validate the CFD model.
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Apostolatos, A., R. Rossi, and C. Soriano. D7.2 Finalization of "deterministic" verification and validation tests. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.006.

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This deliverable focus on the verification and validation of the solvers of Kratos Multiphysics which are used within ExaQUte. These solvers comprise standard body-fitted approaches and novel embedded approaches for the Computational Fluid Dynamics (CFD) simulations carried out within ExaQUte. Firstly, the standard body-fitted CFD solver is validated on a benchmark problem of high rise building - CAARC benchmark and subsequently the novel embedded CFD solver is verified against the solution of the body-fitted solver. Especially for the novel embedded approach, a workflow is presented on which the exact parameterized Computer-Aided Design (CAD) model is used in an efficient manner for the underlying CFD simulations. It includes: A note on the space-time methods Verification results for the body-fitted solver based on the CAARC benchmark Workflow consisting of importing an exact CAD model, tessellating it and performing embedded CFD on it Verification results for the embedded solver based on a high-rise building API definition and usage
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Hawley and Owston. PR-015-12605-R01 Effect of Upstream Piping Configuration on Ultrasonic Meter Bias. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010812.

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This research investigated the effects on ultrasonic meter performance of header configurations upstream from a default AGA-9 meter run. To minimize the expense of experimentally testing numerous header configurations, the approach of this research was to use Computational Fluid Dynamics (CFD) to model multiple header configurations. The CFD model used for this research was developed by using experimental data from a previous PRCI-funded project (Contract PR-015-10603) to tune and validate the model. Twelve header configurations were evaluated using the developed CFD model. The 12 header configurations were selected based on input from the PRCI project committee. The effect of the headers on measurement error was assessed for Daniel and Instromet path configurations.
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Harman. PR-364-09606-R01 Investigation into the Jetting Behavior of Perforated Plate Flow Conditioners. Pipeline Research Council International, Inc. (PRCI), 2012. http://dx.doi.org/10.55274/r0010742.

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A study was conducted to determine the presence of jetting downstream of a perforated plate flow conditioner in an 8 inch pipe flowing high pressure natural gas. Data presented indicates no measurable jetting is present 10 pipe diameters (10D) downstream of the perforated plate tested from 110 FPS to 10 FPS. Slight velocity profile anomalies were detected 3D downstream of the perforated plate, and severe jetting was detected at 0.9D. Additionally, a double-blind CFD (Computational Fluid Dynamics) model was created for the three different test configurations. The CFD modeling results showed good agreement with experimental data.
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Pasupuleti, Murali Krishna. Mathematical Modeling for Machine Learning: Theory, Simulation, and Scientific Computing. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv125.

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Abstract Mathematical modeling serves as a fundamental framework for advancing machine learning (ML) and artificial intelligence (AI) by integrating theoretical, computational, and simulation-based approaches. This research explores how numerical optimization, differential equations, variational inference, and scientific computing contribute to the development of scalable, interpretable, and efficient AI systems. Key topics include convex and non-convex optimization, physics-informed machine learning (PIML), partial differential equation (PDE)-constrained AI, and Bayesian modeling for uncertainty quantification. By leveraging finite element methods (FEM), computational fluid dynamics (CFD), and reinforcement learning (RL), this study demonstrates how mathematical modeling enhances AI-driven scientific discovery, engineering simulations, climate modeling, and drug discovery. The findings highlight the importance of high-performance computing (HPC), parallelized ML training, and hybrid AI approaches that integrate data-driven and model-based learning for solving complex real-world problems. Keywords Mathematical modeling, machine learning, scientific computing, numerical optimization, differential equations, PDE-constrained AI, variational inference, Bayesian modeling, convex optimization, non-convex optimization, reinforcement learning, high-performance computing, hybrid AI, physics-informed machine learning, finite element methods, computational fluid dynamics, uncertainty quantification, simulation-based AI, interpretable AI, scalable AI.
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Kubilay, Aytaç, John Bourcet, Jan Carmeliet, and Dominique Derome. How to predict wind driven rain in a changing climate? Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541649835.

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We are nowadays confronted with changes in moisture-related durability problems arising from climate change. As one example, building facades of historical buildings that before were hardly exposed to frost damage, may in future be exposed to an increase in frost-thaw cycling leading to a higher risk for moisture-related damage. An essential step in hygrothermal and durability analysis is the prediction of wind-driven rain (WDR). A computational fluid dynamics (CFD) Eulerian multiphase model provides WDR catch ratio charts. Building further on this work, methods are developed to predict WDR loads and moisture damage risks.
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Gu, Tianbao, Samuel Simon Araya, and Vincenzo Liso. CFD Modeling of NH3 Synthesis on Ru-Based Catalyst for Hydrogen Storage and Transport. Aalborg University, 2024. https://doi.org/10.54337/aau772652211.

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Hydrogen is often considered as a promising alternative to fossil fuels, however its low boiling point and diffusivity cause a huge challenge for storage and transport. Therefore an alternative fuel like ammonia, containing 17 wt.% hydrogen with a higher boiling point, seems a very promising solution for hydrogen storage and transport. In this paper, ammonia synthesis via the most widely used Haber-Bosch process has been investigated. A computational fluid dynamics (CFD) model is developed for a lab-scale reactor, incorporating the modified Temkin kinetic model describing the complex catalytic reaction on the novel Ruthenium (Ru) catalyst. The isothermal simulation is first carried out for validation, i.e., comparing with the experimental data performed under the same conditions. Then the non-isothermal simulation is conducted to investigate the synthesis process in detail for the case study. The temperature gradient and species distributions inside the catalyst bed are captured and analyzed, which shows meaningful references for the design and operation of ammonia synthesis demonstrators.
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Ansari, A., S. Mohaghegh, M. Shahnam, J. F. Dietiker, and T. Li. Data Driven Smart Proxy for CFD Application of Big Data Analytics & Machine Learning in Computational Fluid Dynamics, Report Two: Model Building at the Cell Level. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1431303.

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Ansari, A., S. Mohaghegh, M. Shahnam, J. F. Dietiker, T. Li, and A. Gel. Data Driven Smart Proxy for CFD Application of Big Data Analytics & Machine Learning in Computational Fluid Dynamics, Part Three: Model Building at the Layer Level. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1463895.

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