Relevant bibliographies by topics / Gas-particle flows

Academic literature on the topic 'Gas-particle flows'

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Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Gas-particle flows"

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Ishii, R., and Y. Umeda. "Freejet flows of gas-particle mixtures." Journal of Thermophysics and Heat Transfer 2, no. 1 (January 1988): 17–24. http://dx.doi.org/10.2514/3.56.

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Ishii, R., Y. Umeda, and K. Kawasaki. "Nozzle flows of gas–particle mixtures." Physics of Fluids 30, no. 3 (1987): 752. http://dx.doi.org/10.1063/1.866325.

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Zhou, Lixing, and Zhuoxiong Zeng. "Studies on gas turbulence and particle fluctuation in dense gas-particle flows." Acta Mechanica Sinica 24, no. 3 (May 8, 2008): 251–60. http://dx.doi.org/10.1007/s10409-008-0156-z.

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Ishii, R., Y. Umeda, and M. Yuhi. "Numerical analysis of gas-particle two-phase flows." Journal of Fluid Mechanics 203 (June 1989): 475–515. http://dx.doi.org/10.1017/s0022112089001552.

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This paper is concerned with a numerical analysis of axisymmetric gas-particle two-phase flows. Underexpanded supersonic free-jet flows and supersonic flows around a truncated cylinder of gas-particle mixtures are solved numerically on the super computer Fujitsu VP-400. The gas phase is treated as a continuum medium, and the particle phase is treated partly as a discrete one. The particle cloud is divided into a large number of small clouds. In each cloud, the particles are approximated to have the same velocity and temperature. The particle flow field is obtained by following these individual clouds separately in the whole computational domain. In estimating the momentum and heat transfer rates from the particle phase to the gas phase, the contributions from these clouds are averaged over some volume whose characteristic length is small compared with the characteristic length of the flow field but large compared with that of the clouds. The results so obtained reveal that the flow characteristics of the gas-particle mixtures are widely different from those of the dust-free gas at many points.
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Gusev, V. N., and Yu V. Nikol'skii. "Modeling gas dynamic particle interaction in rarefied gas flows." Fluid Dynamics 22, no. 1 (1987): 129–35. http://dx.doi.org/10.1007/bf01050863.

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Shaffer, F. D., and R. A. Bajura. "Analysis of Venturi Performance for Gas-Particle Flows." Journal of Fluids Engineering 112, no. 1 (March 1, 1990): 121–27. http://dx.doi.org/10.1115/1.2909359.

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In recent years, use of the venturi for measurement of gas-particle flows has received considerable attention. The technology for the venturi as a single-phase flowmeter has matured to the point that application is routine. Much more research, however, is required to establish the venturi as an acceptable gas-particle flowmeter. The first part of this paper consists of a discussion of the basic principles of venturi pressure-flow performance for gas-particle flows. This is followed by a description of the experimental calibration of a venturi for measurement of gas-particle flows with particle-to-gas mass-loading ratios up to 35. Next, a modified Stokes number is presented and shown to improve correlation of venturi pressure-flow data. Finally, the predictions of a model presented by Doss are compared with the pressure-flow data of the venturi calibration performed in this work. The Doss model provides good predictions of venturi differential pressures for particle-to-gas mass-loading ratios less than ten but tends to overpredict the differential pressure, by as much as 45 percent, for particle-to-gas mass-loading ratios above 10.
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Holloway, William, and Sankaran Sundaresan. "Filtered models for reacting gas–particle flows." Chemical Engineering Science 82 (September 2012): 132–43. http://dx.doi.org/10.1016/j.ces.2012.07.019.

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Holloway, William, and Sankaran Sundaresan. "Filtered models for bidisperse gas–particle flows." Chemical Engineering Science 108 (April 2014): 67–86. http://dx.doi.org/10.1016/j.ces.2013.12.037.

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Sikovskii, D. F. "Relations for particle deposition in turbulent gas-particle channel flows." Fluid Dynamics 45, no. 1 (February 2010): 74–84. http://dx.doi.org/10.1134/s0015462810010096.

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Sommerfeld, M. "Modelling of particle-wall collisions in confined gas-particle flows." International Journal of Multiphase Flow 18, no. 6 (November 1992): 905–26. http://dx.doi.org/10.1016/0301-9322(92)90067-q.

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Dissertations / Theses on the topic "Gas-particle flows"

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Strömgren, Tobias. "Model predictions of turbulent gas-particle shear flows." Doctoral thesis, KTH, Mekanik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-12135.

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A turbulent two-phase flow model using kinetic theory of granularflows for the particle phase is developed and implmented in afinite element code. The model can be used for engineeringapplications. However, in this thesis it is used to investigateturbulent gas-particle flows through numerical simulations.  The feedback from the particles on the turbulence and the meanflow of the gas in a vertical channel flow is studied. In particular,the influence of the particle response time, particle volumefraction and particle diameter on the preferential concentration ofthe particles near the walls, caused by the turbophoretic effect isexplored. The study shows that when particle feedback is includedthe accumulation of particles near the walls decreases. It is also foundthat even at low volume fractions particles can have a significant impacton the turbulence and the mean flow of the gas. The effect of particles on a developing turbulent vertical upward pipeflow is also studied. The development length is found to substantiallyincrease compared to an unladen flow. To understand what governs thedevelopment length a simple estimation was derived, showing that itincreases with decreasing particle diameters in accordance with themodel simulations. A model for the fluctuating particle velocity in turbulentgas-particle flow is derived using a set of stochastic differentialequations taking into account particle-particle collisions. Themodel shows that the particle fluctuating velocity increases whenparticle-particle collisions become more important and that increasingparticle response times reduces the fluctuating velocity. The modelcan also be used for an expansion of the deterministic model for theparticle kinetic energy.
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Slater, Shane Anthony. "Particle transport in laminar and turbulent gas flows." Thesis, University of Cambridge, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624527.

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Zhang, Yonghao. "Particle-gas interactions in two-fluid models of gas-solid flows." Thesis, University of Aberdeen, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367375.

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Modelling gas-solid two-phase flows using a two-fluid approach has two main difficulties: formulating constitutive laws for the particulate stresses and modelling the gas turbulence modulation. Due to the complex nature of the gas-particle interactions, there is no universal model covering every flow regime. In this thesis, three flow regimes with distinctive characteristics are studied, i.e. the very dense regime where the solid volume fraction, v2>5%, the dense flow regime where 5%≥1%, and the relatively dilute regime where 1%≥v2>0.1%. In the very dense flow regime, where the interstitial gas is normally neglected, the gas flow is assumed laminar and causes a viscous energy dissipation in the particulate phase. Numerical results for granular materials flowing down an inclined chute show that the interstitial gas may have a considerable effect in these flows. In the dense regime, where the inter-particle collisions are very important, a fluctuational energy transfer rate between the two phases is postulated, similar to that in a dilute Stokes flow. Consequently, the numerical solutions relax the restriction of elastic inter-particle collisions and show good agreement with experimental measurements. In the above two regimes, the kinetic theory of dry granular flow is adopted for the particulate stresses because the inter-particle collisions dominate the flows. The interstitial gas influence on the constitutive flow behaviour of the particulate phase is considered in the relatively dilute flow regime also, and a k-equation with a prescribed turbulent length scale is first used to address the gas turbulence modulation. Numerical results show that the gas turbulence has a significant effect on the microscopic flow behaviour of the particulate phase. The k-equation of Crowe & Gillandt (1998) has the best performance in predicting the experimentally observed phenomena. Finally, the influence of the particles on the k-Ε model coefficients are studied and the turbulent motion is considered to be restricted by the particles, thereby reducing the turbulent length scale directly. The simulation results indicate that these coefficients should be modified in order to incorporate the effect of particles.
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Yan, Fusheng Wood P. E. "Numerical study on turbulence modulation in gas-particle flows." *McMaster only, 2006.

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Strömgren, Tobias. "Modelling of turbulent gas-particle flow." Licentiate thesis, KTH, Mechanics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4639.

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An Eulerian-Eulerian model for dilute gas-particle turbulent flows is

developed for engineering applications. The aim is to understand the effect of particles on turbulent flows. The model is implemented in a finite element code which is used to perform numerical simulations. The feedback from the particles on the turbulence and the mean flow of the gas in a vertical channel flow is studied. In particular, the influence of the particle response time and particle volume fraction on the preferential concentration of the particles near the walls, caused by the turbophoretic effect is explored. The study shows that the particle feedback decreases the accumulation of particles on the walls. It is also found that even a low particle volume fraction can have a significant impact on the turbulence and the mean flow of the gas. A model for the particle fluctuating velocity in turbulent gas-particle flow is derived using a set of stochastic differential

equations. Particle-particle collisions were taken into account. The model shows that the particle fluctuating velocity increases with increasing particle-particle collisions and that increasing particle response times decrease the fluctuating velocity.

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Liu, Xue. "Instability and segregation in bounded gas-particle and granular flows." Saarbrücken VDM Verlag Dr. Müller, 2006. http://d-nb.info/988937298/04.

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Liu, Xue. "Instability and segregation in bounded gas-particle and granular flows /." Saarbrücken : VDM Verlag Dr. Müller, 2008. http://d-nb.info/988937298/04.

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Tsui, Chak M. "A computational model for gas-particle flows with distributed phase interfaces." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ28819.pdf.

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Hodgson, Sarah M. "Turbulence modulation in gas-particle flows, a comparison of selected models." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0003/MQ46074.pdf.

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Tian, Zhaofeng, and rmit tian@gmail com. "Numerical Modelling of Turbulent Gas-Particle Flow and Its Applications." RMIT University. Aerospace, Mechanical and Manufacturing Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080528.150211.

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The aim of this thesis is three-fold: i) to investigate the performance of both the Eulerian-Lagrangian model and the Eulerian-Eulerian model to simulate the turbulent gas-particle flow; ii) to investigate the indoor airflows and contaminant particle flows using the Eulerian-Lagrangian model; iii) to develop and validate particle-wall collision models and a wall roughness model for the Eulerian-Lagrangian model and to utilize these models to investigate the effects of wall roughness on the particle flows. Firstly, the Eulerian-Lagrangian model in the software package FLUENT (FLUENT Inc.) and the Eulerian-Eulerian model in an in-house research code were employed to simulate the gas-particle flows. The validation against the measurement for two-phase flow over backward facing step and in a 90-degree bend revealed that both CFD approaches provide reasonably good prediction for both the gas and particle phases. Then, the Eulerian-Lagrangian model was employed to investigate the indoor airflows and contaminant particle concentration in two geometrically different rooms. For the first room configuration, the performances of three turbulence models for simulating indoor airflow were evaluated and validated against the measured air phase velocity data. All the three turbulence models provided good prediction of the air phase velocity, while the Large Eddy Simulation (LES) model base on the Renormalization Group theory (RNG) provided the best agreement with the measurements. As well, the RNG LES model is able to provide the instantaneous air velocity and turbulence that are required for the evaluation and design of the ventilation system. In the other two-zone ventilated room configuration, contaminant particle concentration decay within the room was simulated and validated against the experimental data using the RNG LES model together with the Lagrangian model. The numerical results revealed that the particle-wall coll ision model has a considerable effect on the particle concentration prediction in the room. This research culminates with the development and implementation of particle-wall collision models and a stochastic wall roughness model in the Eulerian-Lagrangian model. This Eulerian-Lagrangian model was therefore used to simulate the gas-particle flow over an in-line tube bank. The numerical predictions showed that the wall roughness has a considerable effect by altering the rebounding behaviours of the large particles and consequently affecting the particles motion downstream along the in-line tube bank and particle impact frequency on the tubes. Also, the results demonstrated that for the large particles the particle phase velocity fluctuations are not influenced by the gas-phase fluctuations, but are predominantly determined by the particle-wall collision. For small particles, the influence of particle-wall collisions on the particle fluctuations can be neglected. Then, the effects of wall roughness on the gas-particle flow in a two-dimensional 90-degree bend were investigated. It was found that the wa ll roughness considerably altered the rebounding behaviours of particles by significantly reducing the 'particle free zone' and smoothing the particle number density profiles. The particle mean velocities were reduced and the particle fluctuating velocities were increased when taking into consideration the wall roughness, since the wall roughness produced greater randomness in the particle rebound velocities and trajectories.
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Books on the topic "Gas-particle flows"

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Varaksin, Aleksej Y., ed. Turbulent Particle-Laden Gas Flows. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-68054-3.

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Varaksin, A. Y. Collisions in particle-laden gas flows. New York: Begell House, 2013.

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Dall, Henrik. Development of a Computer Model for Stationary Turbulent 3-D Gas-Particle Flows: Characteristics parameters of gas-particle flow. Roskilde, Denmark: Riso National Laboratory, 1988.

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Lock, G. D. Gas density and particle concentration measurements in shock-induced dusty-gas flows. [S.l.]: [s.n.], 1989.

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Riethmuller, M. L. LDV and pressure measurements of gas particle flows in bends. Rhode Saint Genèse, Belgium: Von Karman Institute for Fluid Dynamics, 1987.

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Riethmuller, M. L. LDV and pressure measurements of gas particle flows in bends. Rhode Saint Genese, Belgium: von Karman Institute for Fluid Dynamics, 1987.

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Garrick, Sean C., and Michael Bühlmann. Modeling of Gas-to-Particle Mass Transfer in Turbulent Flows. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-59584-9.

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Tsui, Chak M. A computational model for gas-particle flows with distributed phase interfaces. [Toronto]: Dept. of Aerospace Science and Engineering, Unieristy of Toronto, 1997.

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Tsui, Chak M. A computational model for gas-particle flows with distributed phase interfaces. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1999.

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Kaupert, Kevin A. A unique light extinction calibration technique for particle concentrations in dusty gas flows. [Downsview, Ont.]: University of Toronto, 1992.

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Book chapters on the topic "Gas-particle flows"

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Mazzei, Luca. "Recent Advances in Modeling Gas-Particle Flows." In Handbook of Multiphase Flow Science and Technology, 1–43. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-4585-86-6_8-1.

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Garrick, Sean C., and Michael Bühlmann. "Fundamentals of Gas-to-Particle Mass Transfer." In Modeling of Gas-to-Particle Mass Transfer in Turbulent Flows, 1–16. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59584-9_1.

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Garrick, Sean C., and Michael Bühlmann. "LES of Particle Dispersion and Gas-to-Particle Mass Transfer in Turbulent Shear Flows." In Modeling of Gas-to-Particle Mass Transfer in Turbulent Flows, 37–55. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59584-9_3.

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Garrick, Sean C., and Michael Bühlmann. "Particle Dispersion and Mass Transfer in Turbulent Shear Flows." In Modeling of Gas-to-Particle Mass Transfer in Turbulent Flows, 17–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59584-9_2.

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Wyrzykowski, Roman, Sebastian Pluta, and Jacek Leszczynski. "Object Oriented Implementation of Modelling Bi-phase Gas-Particle Flows." In Parallel Processing and Applied Mathematics, 738–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24669-5_97.

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Pluta, Sebastian, and Roman Wyrzykowski. "Parallel Implementation of Software Package for Modelling Bi–phase Gas–Particle Flows." In Parallel Processing and Applied Mathematics, 373–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11752578_45.

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Kim, Young Jin, and H. S. Kim. "Functional Assessment of an Anti-Abrasive Elbow for Particle-Laden Gas Flows." In Key Engineering Materials, 2345–50. Stafa: Trans Tech Publications Ltd., 2005. http://dx.doi.org/10.4028/0-87849-978-4.2345.

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Zhang, S. J., P. Zulli, Y. Q. Feng, X. F. Dong, and A. B. Yu. "Effects of Differencing Schemes on Simulation of Dense Gas-Particle Two-Phase Flows." In Computational Fluid Dynamics 2002, 547–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59334-5_82.

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Subrat Kotoky, Amaresh Dalal, and Ganesh Natarajan. "Eulerian-Eulerian Modeling of Dispersed Laminar Gas-Particle Flows over an Unstructured Grid." In Fluid Mechanics and Fluid Power – Contemporary Research, 1101–10. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2743-4_104.

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Tarlet, Dominique, Christian Bendicks, Robert Bordás, Bernd Wunderlich, Dominique Thévenin, and Bernd Michaelis. "3-D Particle Tracking Velocimetry (PTV) in gas flows using coloured tracer particles." In Springer Proceedings in Physics, 43–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03085-7_10.

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Conference papers on the topic "Gas-particle flows"

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ISHII, R., and Y. UMEDA. "Free-jet flows of gas-particle mixtures." In 4th Thermophysics and Heat Transfer Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1986. http://dx.doi.org/10.2514/6.1986-1317.

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Boyd, Iain, and Quanhua Sun. "Particle simulation of micro-scale gas flows." In 39th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-876.

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Zhang, Xinyu, and Goodarz Ahmadi. "Particle Effects on Gas-Liquid-Solid Flows." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-65695.

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A numerical simulation is carried out to study the role of particles in gas-liquid-solid flows in bubble columns. An Eulerian-Lagrangian model is used and the liquid flow is modeled using a volume-averaged system of governing equations, while motions of bubbles and particles are evaluated using Lagrangian trajectory analysis. It is assumed that the bubbles remain spherical. The interactions between bubble-liquid and particle-liquid are included in the study. The discrete phase equations include drag, lift, buoyancy, and virtual mass forces. Particle-particle interactions and bubble-bubble interactions are accounted for by the hard sphere model approach. The bubble coalescence is also included in the model. Neutrally buoyant particles are used in the study. A parcel approach is used and a parcel represents a certain number of particles of same size, velocity, and other properties. Variation of particle loading is modeled by changing the corresponding number of particles in every parcel. In a previous work, the predicted results were compared with the experimental data, and good agreement was obtained. The transient flow characteristics of the three-phase flow are studied and the effects of particle loading on flow characteristics are discussed. The simulations show that the transient characteristics of the three-phase flow in a column are dominated by time-dependent vortices. The particle loading can affect the characteristics of the three-phase flows and flows with high particle loading evolve faster.
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Kaminsky, Robert D., Chris M. Robinson, and Larry D. Talley. "Drag Reduction by Particle Addition in Gas Flows." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2004. http://dx.doi.org/10.2118/89747-ms.

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Nussbaum, Julien, Philippe Helluy, Jean-Marc Hérard, and Alain Carrière. "Numerical Simulations of Reactive Diphasic Gas-Particle Flows." In 39th AIAA Thermophysics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-4161.

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Oesterlé, B. "A note on crossing-trajectory effects in gas-particle turbulent flows." In MULTIPHASE FLOW 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/mpf070371.

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CHEN, C. "Calculation of confined gas-particle two-phase turbulent flows." In 24th Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1986. http://dx.doi.org/10.2514/6.1986-219.

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Zhao, Xiang, and Sijun Zhang. "A Numerical Method for Gas-Particle Flows With Accumulation." In ASME 2006 2nd Joint U.S.-European Fluids Engineering Summer Meeting Collocated With the 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/fedsm2006-98018.

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A mathematical model is proposed to describe the gas-particle flow in a bed packed with particles. The model is in essence the same as the two fluid model developed on the basis of the space-averaged theorem but extended to consider the interactions among the gas, powder and packed particles and the static and dynamic holdups of powder. In particular, a method is proposed to determine the boundary between powder mobile and non-mobile zones, i.e. the profile of powder accumulation zone. The validity of the numerical modelling is examined by comparing the predicted and measured distributions of powder accumulation under various flow conditions.
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Ahmadi, Goodarz, and Xinyu Zhang. "Gas-Liquid-Particle Three-Phase Flows in Bubble Columns." In ASME/JSME 2003 4th Joint Fluids Summer Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/fedsm2003-45556.

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An Eulerian-Lagrangian computational model for simulations of gas-liquid-solid flows in three-phase slurry reactors is developed. In this approach, the liquid flow is modeled using a volume-averaged system of governing equations, whereas motions of bubbles and particles are evaluated by Lagrangian trajectory analysis procedure. It is assumed that the bubbles remain spherical and their shape variations are neglected. The two-way interactions between bubble-liquid and particle-liquid are included in the analysis. The discrete phase equations include drag, lift, buoyancy, and virtual mass forces. Particle-particle interactions are accounted for by the hard sphere model approach. The bubble collisions and coalescence are also included in the computational model. The simulation results show that the transient characteristics of the three-phase flow in a column are dominated by time-dependent staggered vortices. The bubble plume moves along a S-shape path and exhibit an oscillatory behavior. While most particles are located outside the vortices, some bubbles and particles are retained in the vortices. Bubble upward velocities are much larger than both liquid and particle velocities. Particle upward velocities are slightly smaller than the liquid velocities.
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Guda, Sai Satish, and Ismail B. Celik. "Particle-Cluster Formation and Vorticity in Gas-Solid Flows." In ASME 2017 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/fedsm2017-69317.

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Fluidized beds are widely used in industry for combustion, gasification, catalytic cracking and several other purposes. Pneumatic conveying of air is popularly used in industry to transport materials such as pulverized coal through pipelines. A common observation in gas-solid flow dynamics in both of the above systems is the formation of high concentration regions of particles; known as clusters in fluidized beds and rope like structures in pipe bends and ducts. Both the clustering and roping phenomenon were clearly observed in some experiments and in simulations of both fluidized beds and gas-solid flows in pipe bends. It has been found from these simulations that there is a strong correlation between vorticity and concentration. The high particle concentration regions are bounded by vortices of clockwise and counter clockwise direction of roughly the same order of magnitude and there is very low vorticity at the high concentration regions. The goal of this study is to find the cause and effect relation between the gas vorticity and the high particle concentration regions; in particular whether the gas vorticity causes particle agglomeration into clusters or vice-versa. Numerical study has been performed on a vertical pipe by creating a vortex field. In this regard, very large eddy simulations with Lagrangian Discrete Phase model have been performed using Ansys FLUENT and MFIX software packages. The influence of particles on the vorticity has been studied. Influence of several factors such as particle size, injection velocity etc. have also been studied. Correlations among turbulent kinetic energy, vorticity, and particle clustering and/or roping are illustrated.
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Reports on the topic "Gas-particle flows"

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Sankaran Sundaresan. Closures for Course-Grid Simulation of Fluidized Gas-Particle Flows. Office of Scientific and Technical Information (OSTI), February 2010. http://dx.doi.org/10.2172/1007990.

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Sankaran Sundaresan. COARSE-GRID SIMULATION OF REACTING AND NON-REACTING GAS-PARTICLE FLOWS. Office of Scientific and Technical Information (OSTI), March 2004. http://dx.doi.org/10.2172/822872.

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Sankaran Sundaresan. COARSE-GRID SIMULATION OF REACTING AND NON-REACTING GAS-PARTICLE FLOWS. Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/836624.

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Horn, M. DANIEL: A computer code for high-speed dusty gas flows with multiple particle sizes. Office of Scientific and Technical Information (OSTI), May 1989. http://dx.doi.org/10.2172/6167869.

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Xu, Ying. An improved multiscale model for dilute turbulent gas particle flows based on the equilibration of energy concept. Office of Scientific and Technical Information (OSTI), January 2004. http://dx.doi.org/10.2172/850057.

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Kwon, Kyung, Liang-Shih Fan, Qiang Zhou, and Hui Yang. Study of Particle Rotation Effect in Gas-Solid Flows using Direct Numerical Simulation with a Lattice Boltzmann Method. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1183009.

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Muthanna Al-Dahhan, Milorad P. Dudukovic, Satish Bhusarapu, Timothy J. O'hern, Steven Trujillo, and Michael R. Prairie. Flow Mapping in a Gas-Solid Riser via Computer Automated Radioactive Particle Tracking (CARPT). Office of Scientific and Technical Information (OSTI), June 2005. http://dx.doi.org/10.2172/881590.

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Bobis, J. P., K. G. A. Porges, A. C. Raptis, W. E. Brewer, and L. T. Bernovich. Particle velocity and solid volume fraction measurements with a new capacitive flowmeter at the Solid/Gas Flow Test Facility. [Glass beads]. Office of Scientific and Technical Information (OSTI), August 1986. http://dx.doi.org/10.2172/6918929.

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