Relevant bibliographies by topics / Computational fluid dynamics (CFD)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computational fluid dynamics (CFD)'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Computational fluid dynamics (CFD)"

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Schierholz, W. F., and N. Gilbert. "Computational Fluid Dynamics (CFD)." Chemie Ingenieur Technik 75, no. 10 (October 15, 2003): 1412–14. http://dx.doi.org/10.1002/cite.200303306.

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Drikakis, Dimitris, Michael Frank, and Gavin Tabor. "Multiscale Computational Fluid Dynamics." Energies 12, no. 17 (August 25, 2019): 3272. http://dx.doi.org/10.3390/en12173272.

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Computational Fluid Dynamics (CFD) has numerous applications in the field of energy research, in modelling the basic physics of combustion, multiphase flow and heat transfer; and in the simulation of mechanical devices such as turbines, wind wave and tidal devices, and other devices for energy generation. With the constant increase in available computing power, the fidelity and accuracy of CFD simulations have constantly improved, and the technique is now an integral part of research and development. In the past few years, the development of multiscale methods has emerged as a topic of intensive research. The variable scales may be associated with scales of turbulence, or other physical processes which operate across a range of different scales, and often lead to spatial and temporal scales crossing the boundaries of continuum and molecular mechanics. In this paper, we present a short review of multiscale CFD frameworks with potential applications to energy problems.
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Denton, J. D., and W. N. Dawes. "Computational fluid dynamics for turbomachinery design." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 213, no. 2 (February 1, 1998): 107–24. http://dx.doi.org/10.1243/0954406991522211.

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Computational fluid dynamics (CFD) probably plays a greater part in the aerodynamic design of turbomachinery than it does in any other engineering application. For many years the design of a modern turbine or compressor has been unthinkable without the help of CFD and this dependence has increased as more of the flow becomes amenable to numerical prediction. The benefits of CFD range from shorter design cycles to better performance and reduced costs and weight. This paper presents a review of the main CFD methods in use, discusses their advantages and limitations and points out where further developments are required. The paper is concerned with the application of CFD and does not describe the numerical methods or turbulence modelling in any detail.
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Fisher, E. H., and N. Rhodes. "Uncertainty in Computational Fluid Dynamics." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 210, no. 1 (January 1996): 91–94. http://dx.doi.org/10.1243/pime_proc_1996_210_173_02.

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The Annual EPSRC/IMechE Expert Meeting brought together some 44 experts to consider sources of uncertainty in computational fluid dynamics (CFD). Presentations and discussions covered modelling, numerical solution techniques, boundary conditions, evaluation protocols and QA (quality assurance) procedures. The principal conclusions to emerge were: (a) the need for additional collaborative validation studies; (b) the desirability of introducing appropriate QA procedures, possibly based on the CFD Community Club initiative; (c) the need for additional postgraduate training, possibly based on the IGDS principle; (d) the value of continuing work in modelling and error estimation techniques for numerical schemes.
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Hamill, Nathalie. "Streamlining Fluid Dynamics." Mechanical Engineering 120, no. 03 (March 1, 1998): 76–78. http://dx.doi.org/10.1115/1.1998-mar-1.

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More-intuitive pre-processors and advanced solvers are making computational fluid dynamics (CFD) software easier to use, more accurate, and faster. CFD techniques involve the solution of the Navier-Stokes equations that describe fluid-flow processes. Using MSC/ PATRAN as a starting point, AEA Technology plc, Harwell, Oxfordshire, England, has developed a pre-processor for its software that is fully computer-aided design (CAD)-compatible and works with native CAD databases such as CADDS 5, CATIA, Euclid3, Pro /ENG INEER, and Unigraphics. The simplicity of modeling complex geometries in CFX allows more details to be included in models, such as gangways between coaches, bogies, and even some parts of the pantograph. CFX 5's coupled solver offers a radically different approach that solves all the hydrodynamic equations as a single system. CFX 5 has demonstrated its ability to deliver much faster pre-processing and shorter run times, thus increasing productivity for its users. CFX 5.2 should be a further step forward in commercial CFD, with its mixed element types combining the accuracy of prismatic meshes adjacent to surfaces with the speed and geometric flexibility of tetrahedral elements in the remainder of the grid.
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Bao, Henry. "Airfoil design with computational fluid dynamics." Theoretical and Natural Science 11, no. 1 (November 17, 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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Gou, Mengjiao, Bohua Liu, Xiaomao Sun, and Yuli Ma. "Computational fluid dynamics grid technology development." Frontiers in Computing and Intelligent Systems 1, no. 3 (October 25, 2022): 61–64. http://dx.doi.org/10.54097/fcis.v1i3.2110.

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This paper reviews the development of computational fluid dynamics, especially computational aerodynamics. This paper summarizes the achievements of CFD in grid technology, analyzes the existing problems and perplexities, and prospects its development trend. The CFD grid technology includes structured grid, unstructured grid, hybrid grid and overlapping grid.
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Choi, Seongim, Anubhav Datta, and Juan J. Alonso. "Prediction of Helicopter Rotor Loads Using Time-Spectral Computational Fluid Dynamics and an Exact Fluid–Structure Interface." Journal of the American Helicopter Society 56, no. 4 (October 1, 2011): 1–15. http://dx.doi.org/10.4050/jahs.56.042001.

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The objectives of this paper are to introduce time-spectral computational fluid dynamics (CFD) for the analysis of helicopter rotor flows in level flight and to introduce an exact fluid–structure interface for coupled CFD/computational structural dynamics (CSD) analysis. The accuracy and efficiency of time-spectral CFD are compared with conventional time-marching computations. The exact interface is equipped with an exact delta coupling procedure that bypasses the requirement for sectional airloads. Predicted loads are compared between time-spectral and time-marching CFD using both interfaces and validated using UH-60A flight data for high-vibration and dynamic stall conditions. It is concluded that time-spectral CFD can indeed predict rotor performance and peak-to-peak structural loads efficiently, and hence, open opportunity for blade shape optimization. The vibratory and dynamic stall loads, however, require a large number of time instances, which reduces its efficiency. The exact interface and delta procedure allow coupling to be implemented for arbitrary grids and advanced structural models exactly, without the requirement for two-dimensional sectional airloads.
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van Driel, Michael R. "Cardioplegia heat exchanger design modelling using computational fluid dynamics." Perfusion 15, no. 6 (December 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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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 (October 1, 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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Dissertations / Theses on the topic "Computational fluid dynamics (CFD)"

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Dodds, David Scott. "Computational fluid dynamics (CFD) modelling of dilute particulate flows." Swinburne Research Bank, 2008. http://hdl.handle.net/1959.3/44947.

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Thesis (PhD) - Swinburne University of Technology, Faculty of Engineering and Industrial Sciences, 2008.
A thesis submitted for the degree of Doctor of Philosophy, Faculty of Engineering and Industrial Sciences, Swinburne University of Technology, 2008. Typescript. Bibliography: p. 129-142. Includes bibliographical references (p. 259-274)
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Charmchi, Isar. "Computational Fluid Dynamics (CFD) Modeling of a Continuous Crystallizer." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Crystallization is one of the most important separation and purification processes in chemical and especially in pharmaceutical industries. Currently most crystallization processes in the industry are based on batch crystallization; however, due to the variation of product quality per batch, efforts are made to move to continuous processes instead. In this respect, micro and meso scale reactors represents a promising technology due to enhanced heat and mass transfer rates, which, translated to particle generation, provide control of size, morphology, and composition. In this study, a meso-scale continuous crystallizer has been characterized and optimized. A stirred tubular continuous-crystallizer has been characterized and optimized in which the crystallization of active pharmaceutical ingredients (APIs) can be performed under controlled conditions. The crystallizer is formed by two tubes, one for nucleation and the other one for growth, in order to separate different phenomena to control better the process and hence the crystal size distribution. The optimized nucleation tube has a length of 35 cm and a diameter of 3 cm with a long axial blade across the tube with the length of 30 cm and 2.5 cm of diameter. The phenomena of mixing helps to achieve homogeneous supersaturation along the tube to prevent growth during the nucleation and enables narrow residence time distribution of the crystals in the tube with the help of gravity to achieve narrower crystal size distribution. Computational fluid dynamics (CFD) is used to optimize the process. CFD is the application of numerical methods to solve systems of partial differential equations related to fluid dynamics. The continuity and the momentum equations are the most commonly applied equations within CFD, and together they can be used to calculate the velocity and pressure distributions in a fluid.
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Kaggerud, Torbjørn Herder. "Modeling an EDC Cracker using Computational Fluid Dynamics (CFD)." Thesis, Norwegian University of Science and Technology, Department of Energy and Process Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9536.

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The process used by the Norwegian company Hydro for making Vinyl Chloride Monomer (VCM) from natural gas and sodium chloride has been studied. A three dimensional CFD model representing the firebox of the EDC cracker has been developed using the commercial CFD tool Fluent. Heat to the cracker is delivered by means of combustion of a fuel gas consisting of methane and hydrogen. In the developed CFD model used in this work, the combustion reaction itself is omitted, and heat is delivered by hot flue gas. With the combustion reaction left out, the only means of tuning the CFD model is through the flue gas inlet temperature. With the flue gas inlet temperature near the adiabatic flame temperature, the general temperature level of the EDC cracker was reported to be too high. The outer surface temperature of the coil was reported to be 3-400 K higher than what was expected. By increasing the mass flow of flue gas and decreasing the temperature, the net delivered heat to the firebox was maintained at the same level as the first case, but the temperature on the coil was reduced by 100-150 K. Further reductions in the flue gas inlet temperature and modifications in the mass flow of flue gas at the different burner rows, eventually gave temperature distributions along the reaction coil, and flue gas and refractory temperatures, that resemble those in the actual cracker. The one-dimensional reactor model for the cracking reaction represents the actual cracker in a satsifactorily manner. The cracking reaction was simulated using a simple, global reaction mechanism, thus only the main components of the process fluid, EDC, VCM and HCl, can be studied. The model is written in a way suitable for implementation of more detailed chemical reaction mechanisms. The largest deviation in temperature between measured and simulated data are about 5%. At the outlet the temperature of the process fluid is equal to the measured data. The conversion of EDC out of the firebox is assumed to be 50 wt-%, this value is met exactly by the model.

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Al-Far, Salam H. "Indirect fired oven simulation using computational fluid dynamics (CFD)." Thesis, London South Bank University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618655.

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Demir, H. Ozgur. "Computational Fluid Dynamics Analysis Of Store Separation." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605294/index.pdf.

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In this thesis, store separation from two different configurations are solved using computational methods. Two different commercially available CFD codes
CFD-FASTRAN, an implicit Euler solver, and an unsteady panel method solver USAERO, coupled with integral boundary layer solution procedure are used for the present computations. The computational trajectory results are validated against the available experimental data of a generic wing-pylon-store configuration at Mach 0.95. Major trends of the separation are captured. Same configuration is used for the comparison of unsteady panel method with Euler solution at Mach 0.3 and 0.6. Major trends are similar to each other while some differences in lateral and longitudinal displacements are observed. Trajectories of a fueltank separated from an F-16 fighter aircraft wing and full aircraft configurations are found at Mach 0.3 using only the unsteady panel code. The results indicate that the effect of fuselage is to decrease the drag and to increase the side forces acting on the separating fueltank from the aircraft. It is also observed that the yawing and rolling directions of the separating fueltank are reversed when it is separated from the full aircraft configuration when compared to the separation from the wing alone configuration.
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Kleemann, Andreas Peter. "CFD simulation of advanced diesel engines." Thesis, Imperial College London, 2001. http://hdl.handle.net/10044/1/62159.

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This study uses CFD methodology to simulate an advanced Diesel engine operated at higher than conventional peak cylinder pressures. The existing mathematical models for Diesel combustion, pollutant formation and wall heat transfer are improved and validated for this operating range. The fluid flow is described via the gas-phase Favre-averaged transport equations, governing the conservation of mass, chemical species, momentum and energy, based on the Eulerian continuum framework. These equations are closed by means of the k — e turbulence model. The liquid phase uses the Lagrangian approach, in which parcels, representing a class of droplets, are described by differential equations for the conservation of mass, momentum and energy. The numerical solution of the gas phase is obtained by the finite volume method applied to unstructured meshes with moving boundaries. Diesel ignition is modeled via a reduced kinetics mechanism, coupled with a characteristic timescale combustion model. Additionally, NOx and soot emissions are simulated. For the elevated cylinder temperatures and pressures, the behaviour of the thermophysical properties of the gases and liquids involved is critically examined. A near-wall treatment is applied accounting for the large gradients of thermophysical properties in the vicinity of the wall. Furthermore an alternative combined combustion and emissions modelling approach, RIF, based on the laminar flamelet concept is tested. The methodology is validated by reference to experimental data from a research engine, a constant volume pressure chamber and a high-pressure DI Diesel engine at various operating conditions. The modified near-wall treatment gives better agreement with the heat transfer measurements. The methodology predicts Diesel combustion evolution reasonably well for the elevated pressures. Best agreement was achieved using the LATCT combustion model combined with a NOx and soot model. The predictions of emissions show encouraging trends especially regarding the soot/NOx tradeoff, but require tuning of model coefficients.
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Chambers, Steven B. "Investigation of combustive flows and dynamic meshing in computational fluid dynamics." Thesis, Texas A&M University, 2004. http://hdl.handle.net/1969.1/1324.

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Computational Fluid Dynamics (CFD) is a field that is constantly advancing. Its advances in terms of capabilities are a result of new theories, faster computers, and new numerical methods. In this thesis, advances in the computational fluid dynamic modeling of moving bodies and combustive flows are investigated. Thus, the basic theory behind CFD is being extended to solve a new class of problems that are generally more complex. The first chapter that investigates some of the results, chapter IV, discusses a technique developed to model unsteady aerodynamics with moving boundaries such as flapping winged flight. This will include mesh deformation and fluid dynamics theory needed to solve such a complex system. Chapter V will examine the numerical modeling of a combustive flow. A three dimensional single vane burner combustion chamber is numerically modeled. Species balance equations along with rates of reactions are introduced when modeling combustive flows and these expressions are discussed. A reaction mechanism is validated for use with in situ reheat simulations. Chapter VI compares numerical results with a laminar methane flame experiment to further investigate the capabilities of CFD to simulate a combustive flow. A new method of examining a combustive flow is introduced by looking at the solutions ability to satisfy the second law of thermodynamics. All laminar flame simulations are found to be in violation of the entropy inequality.
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Chou, Ching Ju. "The Application of Computational Fluid Dynamics to Comfort Modelling." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/16686.

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This thesis studies thermal comfort in heating, ventilation and air-conditioning (HVAC) scenarios with computational fluid dynamics (CFD) models at domain and occupant levels. Domain level comfort modelling, where the details of the occupant are not modelled, is investigated utilising Fanger’s Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD) comfort models. Occupant level comfort modelling, where the occupant geometry and skin temperature are required, is explored using two different models. The first model termed the thermal manikin model couples the University of California Berkeley (UCB) psychological model to a new physiological model which neglects the thermal regulation of the human body, and consists of a central core at constant temperature surrounded by a layer with thickness and corresponding thermal properties to allow the skin temperature to vary over the modelled human body. The second model based on Gagge’s two-node model, which includes thermal regulation, yet assumes the skin temperature of the occupant to be spatially uniform. The models are validated with the experimental results from the Technical University of Denmark, which provides the data of the air flow, and the Indoor Environmental Quality (IEQ) laboratory at the University of Sydney, which offered the actual votes of human subjects for a range of environmental conditions. To conclude, the prediction of the skin temperature and its spatial variation is the most important parameter to predict occupant comfort correctly. The occupant level comfort modelling approach employing the thermal manikin is found to be the superior method to evaluate thermal comfort as it can still be accurate when the environment is complex. However, the computational cost and model setup time is high. Further work employing multi-node thermal manikin models would be a fruitful area of research if the accuracy of occupant comfort prediction in complex thermal environments is of interest.
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Murad, Nurul Muiz. "Computational fluid dynamics (CFD) of vehicle aerodynamics and associated acoustics." Swinburne Research Bank, 2009. http://hdl.handle.net/1959.3/47824.

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Thesis (PhD) - Swinburne University of Technology, School of Engineering and Science, 2009.
A thesis submitted in accordance with the regulations for the degree of Doctor of Philosophy, School of Engineering and Science, Swinburne University of Technology, 2009. Typescript. Includes bibliographical references (p. 315-330)
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Chiu, Ya-Tien. "Computational Fluid Dynamics Simulations of Hydraulic Energy Absorber." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/34775.

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Hydraulic energy absorbers may be described as high-loss centrifugal turbomachines arranged to operate as stalled torque converters. The device absorbs the kinetic energy of a vehicle in motion and dissipates the energy into water. A steady, single-phase, Computational Fluid Dynamics (CFD) simulation has been performed to investigate the flow field in a hydraulic energy absorber. It was determined that to better predict the performance of the energy absorber, more sophisticated modeling approaches may be needed. In this research, a steady, two-phase calculation with basic turbulence modeling was used as a first assessment. The two-phase model was used to investigate cavitation effects. Unsteady and advanced turbulence modeling techniques were then incorporated into single-phase calculations. The Multiple Reference Frame (MRF) Technique was used to model the interaction between the rotor and the stator. The calculations provided clearer details of the flow field without dramatically increasing the computational cost. It was found that unsteady modeling was necessary to correctly capture the close coupling between the rotor and the stator. The predicted torque in the unsteady calculations was 70% of the experimental value and twice of the result in the steady-state calculations. It was found that the inaccuracy of torque prediction was due to (1) high pressures in the regions with complicated geometrical boundaries and, (2) dynamic interactions between the rotor and the stator were not captured fully. It was also determined that the unrealistically low pressure values were not caused by the physical cavitation, but by the lack of proper boundary conditions for the model. Further integration of the modeling techniques studied would improve the CFD results for use in the design of the energy absorber.
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Books on the topic "Computational fluid dynamics (CFD)"

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Wilcox, David C. Turbulence modeling for CFD. La Cãnada, CA: DCW Industries, Inc., 1993.

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Wilcox, David C. Turbulence modeling for CFD. 2nd ed. La Cãnada, Calif: DCW Industries, 1998.

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Wilcox, David C. Turbulence modeling for CFD. La Cañada, CA: DCW Industries, 1994.

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Peraire, Jaime. Unstructured mesh methods for CFD. London, England: Imperial College of Science, Technology and Medicine. Dept. of Aeronautics, 1990.

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North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Turbomachinery design using CFD. Neuilly sur Seine, France: AGARD, 1994.

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North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. CFD techniques for propulsion applications. Neuilly sur Seine, France: AGARD, 1992.

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CFD 94 (1994 Toronto, Ont.). Proceedings, CFD 94: Second Annual Conference of the CFD Society of Canada : Toronto, Ontario, June 1-3, 1994. Edited by Gottlieb J. J and Ethier Christopher Ross 1959-. [Toronto, Ont.]: CFD Society of Canada, 1994.

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World, Conference in Applied Computational Fluid Dynamics (2nd 1994 Basel Switzerland). Basel world CFD user days 1994: Conference proceedings. Basel: International Hightech-Forum Basel, 1994.

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A grassroots campaign for CFD analysis. [New York, N.Y.]: Knovel, 2010.

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CFD 96 (1996 Ottawa, Ont.). CFD 96: Ottawa (Ontario) Canada, June 2-6 1996. [Toronto, Ont: CFD Society of Canada], 1996.

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Book chapters on the topic "Computational fluid dynamics (CFD)"

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Schwarze, Rüdiger. "Computational Fluid Dynamics." In CFD-Modellierung, 3–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24378-3_1.

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Wagner, S. "Computational Fluid Dynamics (CFD)." In High Performance Computing in Science and Engineering ’99, 239–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59686-5_20.

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Anderson, J. D. "Basic Philosophy of CFD." In Computational Fluid Dynamics, 3–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85056-4_1.

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Anderson, J. D. "Basic Philosophy of CFD." In Computational Fluid Dynamics, 3–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-662-11350-9_1.

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Pender, G., H. P. Morvan, N. G. Wright, and D. A. Ervine. "CFD for Environmental Design and Management." In Computational Fluid Dynamics, 487–509. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470015195.ch18.

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Wu, Zi-Niu, and Jing Shi. "Coordinate Transformation for CFD." In Computational Fluid Dynamics 2002, 171–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59334-5_23.

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Leclerc, M. "Ecohydraulics: A New Interdisciplinary Frontier for CFD." In Computational Fluid Dynamics, 429–60. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470015195.ch16.

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Ingham, D. B., and L. Ma. "Fundamental Equations for CFD in River Flow Simulations." In Computational Fluid Dynamics, 17–49. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470015195.ch2.

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Nakahashi, Kazuhiro. "Progress in Unstructured-Grid CFD." In Computational Fluid Dynamics 2000, 3–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56535-9_1.

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Nicholas, A. P. "Roughness Parameterization in CFD Modelling of Gravel-Bed Rivers." In Computational Fluid Dynamics, 329–55. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470015195.ch13.

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Conference papers on the topic "Computational fluid dynamics (CFD)"

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Chrisochoides, N., G. Fox, and T. Haupt. "A computational toolkit for colliding black holes and CFD." In Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-2249.

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SHANKAR, VIJAYA, WILLIAM HALL, and ALIREZA MOHAMMADIAN. "A CFD-based finite-volume procedure for computational electromagnetics - Interdisciplinary applications of CFD methods." In 9th Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-1987.

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Peri, Shrinivas, and Brian M. Rogers. "Computational Fluid Dynamics (CFD) Erosion Study." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/110463-ms.

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Karahalios, G. T., V. C. Loukopoulos, George Maroulis, and Theodore E. Simos. "Symposium on Computational Fluid Dynamics (CFD)." In COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING: Advances in Computational Science: Lectures presented at the International Conference on Computational Methods in Sciences and Engineering 2008 (ICCMSE 2008). AIP, 2009. http://dx.doi.org/10.1063/1.3225371.

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Thompson, Peter M., Trevor T. Robinson, and C. Armstrong. "Efficient CAD-based Aerodynamic Design Optimization with Adjoint CFD Data." In 21st AIAA Computational Fluid Dynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-2847.

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Hawick, K., E. Bogucz, A. Degani, G. Fox, and G. Robinson. "CFD algorithms in high performance FORTRAN." In 12th Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-1752.

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Dadone, A., and B. Grossman. "CFD design problems using progressive optimization." In 14th Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-3295.

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Yee, H., H. Yee, J. Torczynski, S. Morton, J. Torczynski, S. Morton, M. Visbal, P. Sweby, M. Visbal, and P. Sweby. "On spurious behavior of CFD simulations." In 13th Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-1869.

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Aly, Sherif, Madara Ogot, Richard Pelz, Frank Marconi, and Mike Siclari. "Stochastic optimization applied to CFD shape design." In 12th Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-1647.

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Liou, Meng-Sing. "Progress towards an improved CFD method - AUSM+." In 12th Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-1701.

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Reports on the topic "Computational fluid dynamics (CFD)"

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Behr, Marek, Daniel M. Pressel, Walter B. Sturek, and Sr. Comments on Computational Fluid Dynamics (CFD) Code Performance on Scalable Architectures. Fort Belvoir, VA: Defense Technical Information Center, December 2002. http://dx.doi.org/10.21236/ada409739.

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Strons, P., J. Bailey, A. Frigo, and ( NE). Computational Fluid Dynamics (CFD) Analyses of a Glovebox under Glove Loss Conditions. Office of Scientific and Technical Information (OSTI), October 2014. http://dx.doi.org/10.2172/1160209.

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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, November 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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Heavy, Karen R., Jubaraj Sahu, and Stephen A. Wilkerson. A Multidisciplinary Coupled Computational Fluid Dynamics (CFD) and Structural Dynamics (SD) Analysis of a 2.75-in Rocket Launcher. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada402247.

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Nickolaus, D. Computational Fluid Dynamics (CFD) Analysis and Development of Halon-Replacement Fire Extinguishing Systems (Phase 2). Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada585794.

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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, Owston, and Thorson. PR-015-13610-R01 Effect of Upstream Piping Configuration on Ultrasonic Meter Bias - Flow Validation. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 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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Dr. Chenn Zhou. Computational Fluid Dynamics (CFD) Modeling for High Rate Pulverized Coal Injection (PCI) into the Blast Furnace. Office of Scientific and Technical Information (OSTI), October 2008. http://dx.doi.org/10.2172/949189.

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JACKSON VL. COMPUTATIONAL FLUID DYNAMICS MODELING OF SCALED HANFORD DOUBLE SHELL TANK MIXING - CFD MODELING SENSITIVITY STUDY RESULTS. Office of Scientific and Technical Information (OSTI), August 2011. http://dx.doi.org/10.2172/1028214.

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Jiang, Minyee. Joint High Speed Sealift (JHSS) Appendage Resistance Computation Fluid Dynamics (CFD) Analysis. Fort Belvoir, VA: Defense Technical Information Center, December 2009. http://dx.doi.org/10.21236/ada514547.

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