Bibliografie tematiche / Multiphase flow Computational fluid dynamics

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Letteratura scientifica selezionata sul tema "Multiphase flow Computational fluid dynamics"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 11 febbraio 2022

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Articoli di riviste sul tema "Multiphase flow Computational fluid dynamics"

Malik, M. Rizwan, Tie Lin Shi, Zi Rong Tang, and Shi Yuan Liu. "Computational Fluid Dynamics (CFD) Based Simulated Study of Multi-Phase Fluid Flow." Defect and Diffusion Forum 307 (December 2010): 1–11. http://dx.doi.org/10.4028/www.scientific.net/ddf.307.1.

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It is critical to understand multiphase flow applications with regard to dynamic behavior. In this paper, a systematic approach to the study of these applications is pursued, leading to separated flows comprising the effects of free surface flows and wetting. For the first time, wetting phenomena (three wetting regimes such as no wetting, 90 º wetting angle and absolute wetting) are added in the separated flow model. Special attention is paid to computational fluid dynamics (CFD) in order to envisage the relationship between complex metallurgical practices such as mass and momentum exchange, t

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Olabode, Oluwasanmi, Gerald Egeonu, Richard Afolabi, Charles Onuh, and Chude Okonji. "Computational Fluid Dynamics (CFD) for Modelling Multiphase Flow in Hilly-Terrain Pipelines." Diffusion Foundations 28 (December 2020): 33–55. http://dx.doi.org/10.4028/www.scientific.net/df.28.33.

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The design and operation of subsea pipelines over the life-cycle of an asset is vital for continuous oil and gas production. Qualitative design and effective production operation of pipelines depend on fluid type(s) involved in the flow; and in the case of multiphase flow, the need to understand the behaviour of the fluids becomes more imperative. This work presented in this report is borne out of the need for more accurate ways of predicting multiphase flow parameters in subsea pipelines with hilly-terrain profiles by better understanding their flow behaviors. To this end, Computational Fluid

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Gel, A., R. Garg, C. Tong, M. Shahnam, and C. Guenther. "Applying uncertainty quantification to multiphase flow computational fluid dynamics." Powder Technology 242 (July 2013): 27–39. http://dx.doi.org/10.1016/j.powtec.2013.01.045.

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Shojaee, Saeed, Seyyed Hossein Hosseini, and Behzad Saeedi Razavi. "Computational Fluid Dynamics Simulation of Multiphase Flow in Structured Packings." Journal of Applied Mathematics 2012 (2012): 1–17. http://dx.doi.org/10.1155/2012/917650.

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A volume of fluid multiphase flow model was used to investigate the effective area and the created liquid film in the structured packings. The computational results revealed that the gas and liquid flow rates play significant roles in the effective interfacial area of the packing. In particular, the effective area increases as the flow rates of both phases increase. Numerical results were compared with the Brunazzi and SRP models, and a good agreement between them was found. Attention was given to the process of liquid film formation in both two-dimensional (2D) and three-dimensional (3D) mode

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Drikakis, Dimitris, Michael Frank, and Gavin Tabor. "Multiscale Computational Fluid Dynamics." Energies 12, no. 17 (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 intensi

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Hua, Tianyi, and Ryan L. Hartman. "Computational fluid dynamics of DNA origami folding in microfluidics." Reaction Chemistry & Engineering 4, no. 5 (2019): 818–27. http://dx.doi.org/10.1039/c8re00168e.

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Higdon, J. J. L. "Multiphase flow in porous media." Journal of Fluid Mechanics 730 (July 30, 2013): 1–4. http://dx.doi.org/10.1017/jfm.2013.296.

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AbstractMultiphase flows in porous media represent fluid dynamics problems of great complexity involving a wide range of physical phenomena. These flows have attracted the attention of an impressive group of renowned researchers and have spawned a number of classic problems in fluid dynamics. These multiphase flows are perhaps best known for their importance in oil recovery from petroleum reservoirs, but they also find application in novel areas such as hydrofracturing for natural gas recovery. In a recent article, Zinchenko & Davis (J. Fluid Mech. 2013, vol. 725, pp. 611–663) present comp

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Wong, Chong Yau, Joan Boulanger, and Gregory Short. "Modelling the Effect of Particle Size Distribution in Multiphase Flows with Computational Fluid Dynamics and Physical Erosion Experiments." Advanced Materials Research 891-892 (March 2014): 1615–20. http://dx.doi.org/10.4028/www.scientific.net/amr.891-892.1615.

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It is known that particle size has an influence in determining the erosion rate, and hence equipment life, on a target material in single phase flows (i.e. flow of solid particles in liquid only or gas only flows). In reality single phase flow is rarely the case for field applications in the oil and gas industry. Field cases are typically multiphase in nature, with volumetric combinations of gas, liquid and sand. Erosion predictions of multiphase flows extrapolated from single phase flow results may be overly conservative. Current understanding of particle size distribution on material erosion

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Romaní Fernández, Xiana, and Hermann Nirschl. "A Numerical Study of the Impact of Radial Baffles in Solid Bowl Centrifuges Using Computational Fluid Dynamics." Physical Separation in Science and Engineering 2010 (August 23, 2010): 1–10. http://dx.doi.org/10.1155/2010/510570.

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Centrifugal separation equipment, such as solid bowl centrifuges, is used to carry out an effective separation of fine particles from industrial fluids. Knowledge of the streams and sedimentation behavior inside solid bowl centrifuges is necessary to determine the geometry and the process parameters that lead to an optimal performance. Regarding a given industrial centrifuge geometry, a grid was built to calculate numerically the multiphase flow of water, air, and particles with a computational fluid dynamics (CFD) software. The effect of internal radial baffles on the multiphase flow was inve

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Faltsi, O., S. D. Vlaev, D. Sofialidis, and J. Kirpitsas. "Novel areas and future trends of computational fluid dynamics software applications in chemical engineering." Chemical Industry and Chemical Engineering Quarterly 12, no. 4 (2006): 213–19. http://dx.doi.org/10.2298/ciceq0604213f.

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The paper presents a brief overview of advanced novel applications and future trends of Computational Fluid Dynamics software in Chemical Engineering. Among the cases of major importance, single phase turbulent flow, as well as multiphase flow models are reviewed. Referring to single phase flows, the LES and RANS approaches are described and illustrated. The RANS approach is revealed as the most popular and inexpensive method for the analysis and solving of technical tasks. The paper reports on two recent modeling applications, namely, the CFD facilitated design of a new mixing impeller and th

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Tesi sul tema "Multiphase flow Computational fluid dynamics"

Gilbertson, Mark. "Mixing in multiphase jet flow : experimental comparison with a computational model." Thesis, University of Oxford, 1993. http://ora.ox.ac.uk/objects/uuid:98fae523-d738-4392-8b63-ab9cfbeaf37b.

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A series of experiments has been conducted for comparison with the results of a computer code called CHYMES. It is intended to calculate the coarse mixing of molten metal with water by solving the equations of the Separated Flow Model. These are derived by volume averaging and the terms that relate them to the particular case of participate flow are discussed. An experimental apparatus that is compatible with CHYMES and coarse mixing has been constructed which projects a jet of ball bearings into a thin tank of water. Experiments over a wide range of conditions were conducted at room temperatu

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Olsen, Robert. "Time-dependent boundary conditions for multiphase flow." Doctoral thesis, [Trondheim : Norges teknisk-naturvitenskapelige universitet, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-237.

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Biswas, Souvik. "Direct numerical simulation and two-fluid modeling of multi-phase bubbly flows." Link to electronic thesis, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-050307-224407/.

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Dissertation (Ph.D.) -- Worcester Polytechnic Institute.<br>Keywords: Multiphase flow; Two-fluid modeling; Direct numerical simulation; Two fluid modeling. Includes bibliographical references (leaves 116-119).

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Soncini, Ryan Michael. "Computational Simulation of Coal Gasification in Fluidized Bed Reactors." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78733.

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The gasification of carbonaceous fuel materials offers significant potential for the production of both energy and chemical products. Advancement of gasification technologies may be expedited through the use of computational fluid dynamics, as virtual reactor design offers a low cost method for system prototyping. To that end, a series of numerical studies were conducted to identify a computational modeling strategy for the simulation of coal gasification in fluidized bed reactors. The efforts set forth by this work first involved the development of a validatable hydrodynamic modeling strategy

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Cheng, Zekang. "A moving mesh method for non-isothermal multiphase flows." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/288661.

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In this thesis, a numerical method is developed for simulating non-isothermal multiphase flows, which are important in many technical applications such as crystal growth and welding. The method is based on the arbitrary Lagrangian Eulerian method of Li (2013). The interface is represented explicitly by mesh lines, and is tracked by an adaptive moving unstructured mesh. The $P2-P1d$ finite element method (FEM) is used for discretisation and the incompressible Navier-Stokes equations are solved by the uzawa method. Firstly, a thorough study is presented on the method's capability in numerically

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Gunnesby, Michael. "On Flow Predictions in Fuel Filler Pipe Design - Physical Testing vs Computational Fluid Dynamics." Thesis, Linköpings universitet, Mekanisk värmeteori och strömningslära, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-117534.

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The development of a fuel filler pipe is based solely on experience and physical experiment. The challenge lies in designing the pipe to fulfill the customer needs. In other words designing the pipe such as the fuel flow does not splash back on the fuel dispenser causing a premature shut off. To improve this “trial-and-error” based development a computational fluid dynamics (CFD) model of the refueling process is investigated. In this thesis a CFD model has been developed that can predict the fuel flow in the filler pipe. Worst case scenario of the refueling process is during the first second

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Tebowei, Roland. "Computational fluid dynamics (CFD) modelling of critical velocity for sand transport flow regimes in multiphase pipe bends." Thesis, Robert Gordon University, 2016. http://hdl.handle.net/10059/2118.

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The production and transportation of hydrocarbon fluids in multiphase pipelines could be severely hindered by particulate solids deposit such as produced sand particles which accompany hydrocarbon production. Knowledge of the flow characteristics of solid particles in fluids transported in pipelines is important in order to accurately predict solid particles deposition in pipelines. This research thesis presents the development of a three-dimensional (3D) Computational Fluids Dynamics (CFD) modelling technique for the prediction of liquid-solids multiphase flow in pipes, with special emphasis

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Rabbani, Harris. "Pore-scale investigation of wettability effects on two-phase flow in porous media." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/porescale-investigation-of-wettability-effects-on-twophase-flow-in-porous-media(4da35c39-fc12-4d2c-8645-53bb617696aa).html.

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Physics of immiscible two-phase flow in porous media is relevant for various industrial and environmental applications. Wettability defined as the relative affinity of fluids with the solid surface has a significant impact on the dynamics of immiscible displacement. Although wettability effects on the macroscopic fluid flow behaviour are well known, there is a lack of pore-scale understanding. Considering the crucial role of wettability in a diverse range of applications; this research aims to provide a pore-scale picture of interface configuration induced by variations in the wetting characte

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Picardi, Robert N. "Numerical Analysis of Multiphase Flow in Bubble Columns and Applications for Microbial Fuel Cells." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/51689.

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Computational fluid dynamics (CFD) modeling was used to predict the hydrodynamics of a column reactor. Bubble columns have applications across many engineering disciplines and improved modeling techniques help to increase the accuracy of numerical predictions. An Eulerian-Eulerian multi-fluid model was used to simulate fluidization and to capture the complex physics associated therewith. The commercial code ANSYS Fluent was used to study two-dimensional gas-liquid bubble columns. A comprehensive parameter study, including a detailed investigation of grid resolution was performed. Specific

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Yazici, Bora. "Numerical And Experimental Investigation Of Flow Through A Cavitating Venturi." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/3/12607924/index.pdf.

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Cavitating venturies are one of the simplest devices to use on a flow line to control the flow rate without using complex valve and measuring systems. It has no moving parts and complex electronic systems. This simplicity increases the reliability of the venturi and makes it a superior element for the military and critical industrial applications. Although cavitating venturis have many advantages and many areas of use, due to the complexity of the physics behind venturi flows, the characteristics of the venturies are mostly investigated experimentally. In addition, due to their military applic

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Più fonti

Libri sul tema "Multiphase flow Computational fluid dynamics"

Jung, Jonghwun. Design and understanding of fluidized-bed reactors: Application of CFD techniques to multiphase flows. VDM Verlag Dr. Müller, 2009.

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Multiphase fluid dynamics. Science Press, 1990.

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Nigmatulin, Robert Iskanderovich. Dynamics of multiphase media. Hemisphere Pub. Corp., 1991.

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Brill, J. P. Multiphase flow in wells. Henry L. Doherty Memorial Fund of AIME, Society of Petroleum Engineers, 1999.

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Talwar, Mahesh. Multiphase, compressible, and incompressible flow. Gulf Pub. Co., Book Division, 1985.

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Particulates and continuum: Multiphase fluid dynamics. Hemisphere Pub. Corp., 1989.

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Hewitt, G. F. (Geoffrey Frederick) and Alimonti Claudio, eds. Multiphase flow metering. Elsevier, 2010.

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A, Mammoli A., Brebbia C. A, Wessex Institute of Technology, and University of New Mexico, eds. Computational methods in multiphase flow II. WIT, 2004.

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Lyczkowski, Robert W. The History of Multiphase Science and Computational Fluid Dynamics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-66502-3.

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Hunter, L. G. Inlet analysis using computational fluid dynamics. AIAA, 1986.

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Capitoli di libri sul tema "Multiphase flow Computational fluid dynamics"

Ihm, Seung-Won, Kyung Rok Lee, Chongam Kim, and Kyu Hong Kim. "Computation of Multiphase Mixture Flows using RoeM and AUSMPW + Schemes." In Computational Fluid Dynamics 2006. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92779-2_99.

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Kolev, Nikolay I. "One-dimensional three-fluid flows." In Multiphase Flow Dynamics. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/3-540-69833-7_8.

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Kolev, Nikolay Ivanov. "One-Dimensional Three-Fluid Flows." In Multiphase Flow Dynamics 1. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15296-7_8.

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Kolev, Nikolay Ivanov. "One-dimensional three-fluid flows." In Multiphase Flow Dynamics 1. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20605-4_8.

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Kolev, Nikolay Ivanov. "Bubble dynamics in single-component fluid." In Multiphase Flow Dynamics 3. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21372-4_5.

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Kolev, Nikolay Ivanov. "The “Simple” Steady Three-Fluid Boiling Flow XE three-fluid boiling flow in a Pipe." In Multiphase Flow Dynamics 5. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15156-4_4.

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Kolev, Nikolay Ivanov. "The “simple” steady three-fluid boiling flow in a pipe." In Multiphase Flow Dynamics 5. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20601-6_4.

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Kolev, Nikolay I. "The “simple” steady three-fluid boiling flow in a pipe." In Multiphase Flow Dynamics 4. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92918-5_4.

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Bates, P. D., M. S. Horritt, N. M. Hunter, D. Mason, and D. Cobby. "Numerical Modelling of Floodplain Flow." In Computational Fluid Dynamics. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470015195.ch11.

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Ben-Artzi, M., A. Birman, and J. Falcovitz. "The GRP Treatment of Flow Singularities." In Computational Fluid Dynamics. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79440-7_16.

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Atti di convegni sul tema "Multiphase flow Computational fluid dynamics"

Ropelato, K., A. V. Castro, W. O. Geraldelli, and M. Mori. "Computational fluid dynamic as a feature to understand the heat and mass transfer in a vacuum tower." In MULTIPHASE FLOW 2009. WIT Press, 2009. http://dx.doi.org/10.2495/mpf090151.

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Lindau, Jules, Sankaran Venkateswaran, Robert Kunz, and Charles Merkle. "Multiphase Computations for Underwater Propulsive Flows." In 16th AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-4105.

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Chang, Chih-Hao, and Meng-Sing Liou. "A Conservative Compressible Multifluid Model for Multiphase Flow: Shock-Interface Interaction Problems." In 17th AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-5344.

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Balachandar, S. "Large-scale Multiphase Large Eddy Simulation of Flow in Solid Rocket Motors." In 16th AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-3700.

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Hartmann, Daniel, and Tim Colonius. "A projection method for multiphase flows." In 20th AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-3831.

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Weber, Justin, William Fullmer, Aytekin Gel, and Jordan Musser. "Optimization of a Cyclone Using Multiphase Flow Computational Fluid Dynamics." In ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/ajkfluids2019-5182.

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Abstract The US Department of Energy (DOE) National Energy Technology Laboratory’s (NETL) 50 kWth chemical looping reactor has an underperforming cyclone, designed using empirical correlations. To improve the performance of this cyclone, the vortex tube radius and length, barrel radius, and the inlet width and height are optimized using computational fluid dynamics (CFD). For this work, NETL’s open source Multiphase Flow with Interphase eXchange (MFiX) CFD code has been used to model a series of cyclones with varying geometric differences. To perform the optimization process, the surrogate mod

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Nili, Samaun, Chanyoung Park, Raphael T. Haftka, Sivaramakrishnan Balachandar, and Nam H. Kim. "Sensitivity Analysis of Force Models for a Four-Way Coupled Eulerian-Lagrangian Dispersed Multiphase Flow." In 23rd AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-3800.

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Cook, Grant, Kyoungsu Im, and ZengChan Zhang. "Multiphase and Chemically Reactive Flows in LS-DYNA." In 21st AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-2695.

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Henry de Frahan, Marc, and Eric Johnsen. "High-order Discontinuous Galerkin Methods Applied to Multiphase Flows." In 22nd AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-3045.

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Kinzel, Michael, Jules Lindau, and Robert Kunz. "A Level-Set Approach for Compressible, Multiphase Fluid Flows with Mass Transfer." In 19th AIAA Computational Fluid Dynamics. American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-4152.

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Rapporti di organizzazioni sul tema "Multiphase flow Computational fluid dynamics"

Garabedian, Paul R. Computational Fluid Dynamics and Transonic Flow. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada288962.

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Garabedian, Paul R. Computational Fluid Dynamics and Transonic Flow. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada292797.

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Gibson, J. S. Joint Research on Computational Fluid Dynamics and Fluid Flow Control. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada308103.

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Sahu, Jubaraj, and Karen R. Heavey. Computational Fluid Dynamics Modeling of a 40-mm Grenade with and Without Jet Flow. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada396072.

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Sakagawa, Keiji, Hideto Yoshitake, and Eiji Ihara. Computational Fluid Dynamics for Design of Motorcycles (Numerical Analysis of Coolant Flow and Aerodynamics). SAE International, 2005. http://dx.doi.org/10.4271/2005-32-0033.

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Heavey, Karen R., James DeSpirito, and Jubaraj Sahu. Computational Fluid Dynamics Flow Field Solutions for a Kinetic Energy (KE) Projectile With Sabot. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada419491.

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Marc Cremer, Kirsi St. Marie, and Dave Wang. Computational Fluid Dynamics Based Investigation of Sensitivity of Furnace Operational Conditions to Burner Flow Controls. Reaction Engineering International, 2003. http://dx.doi.org/10.2172/899455.

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Marc Cremer, Zumao Chen, Dave Wang, and Paul Wolff. COMPUTATIONAL FLUID DYNAMICS BASED INVESTIGATION OF SENSITIVITY OF FURNACE OPERATIONAL CONDITIONS TO BURNER FLOW CONTROLS. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/828894.

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Marc Cremer, Dave Wang, Connie Senior, Andrew Chiodo, Steven Hardy, and Paul Wolff. Computational Fluid Dynamics Based Investigation of Sensitivity of Furnace Operational Conditions to Burner Flow Controls. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/859091.

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Tentner, A. Computational fluid dynamics modeling of two-phase flow in a BWR fuel assembly. Final CRADA Report. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/967950.

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