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Статті в журналах з теми "Particle Heat Transfer"

1

Huang, Zheqing, Qi Huang, Yaxiong Yu, Yu Li, and Qiang Zhou. "A Comparative Study of Models for Heat Transfer in Bidisperse Gas–Solid Systems via CFD–DEM Simulations." Axioms 11, no. 4 (April 15, 2022): 179. http://dx.doi.org/10.3390/axioms11040179.

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In this study, flow and heat transfers in bidisperse gas–solid systems were numerically investigated using the computational fluid dynamics–discrete element method (CFD–DEM). Three different models to close the gas–solid heat transfer coefficient for each species of bidisperse systems were compared in the simulations. The effect of the particle diameter ratio and particle number ratio between large and small particles on the particle mean temperature and temperature distribution of each species were systematically investigated. The simulation results show that differences in the particle mean temperature and temperature distribution profiles exist among the three heat transfer models at a higher particle number ratio. The differences between the effects of three heat transfer models on heat transfer properties in bidisperse systems with particle diameter ratios of up to 4 are marginal when the particle number ratio between small and large particles is 1.
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2

Y. Hashim, Mohamed, Hyun Sik Sim, and Ik-Tae Im. "A Computational Study on Inter-Phase Heat Transfer in a Conical Fluidized Bed Reactor Using Hot Air." International Journal of Air-Conditioning and Refrigeration 29, no. 02 (May 29, 2021): 2150018. http://dx.doi.org/10.1142/s2010132521500188.

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This paper presents a computational study on the inter-phase heat transfer inside a conical fluidized bed reactor when hot air is introduced through the bottom inlet. Two different diameters, 2.0[Formula: see text]mm and 4.0[Formula: see text]mm glass particles are used as the first and second solid phase and hot air is used as the third phase. A gas–particle heat transfer and particle–particle heat transfer are investigated by using computational fluid dynamics. Euler–Euler two-fluid model is used to describe dynamics of particles and fluid flow in the reactor. We observe that gas–particle heat transfer coefficient is large when solid particle is small. This is the same tendency as the gas–particle heat transfer coefficient when cold air is introduced among hot particles. Particle-to-particle heat transfer depends much on the superficial velocity at the inlet.
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3

Bösenhofer, Markus, Mario Pichler, and Michael Harasek. "Heat Transfer Models for Dense Pulverized Particle Jets." Processes 10, no. 2 (January 26, 2022): 238. http://dx.doi.org/10.3390/pr10020238.

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Heat transfer is a crucial aspect of thermochemical conversion of pulverized fuels. Over-predicting the heat transfer during heat-up leads to under-estimation of the ignition time, while under-predicting the heat loss during the char conversion leads to an over-estimation of the burnout rates. This effect is relevant for dense particle jets injected from dense-phase pneumatic conveying. Heat fluxes characteristic of such dense jets can significantly differ from single particles, although a single, representative particle commonly models them in Euler–Lagrange models. Particle-resolved direct numerical simulations revealed that common representative particles approaches fail to reproduce the dense-jet characteristics. They also confirm that dense clusters behave similar to larger, porous particles, while the single particle characteristic prevails for sparse clusters. Hydrodynamics causes this effect for convective heat transfer since dense clusters deflect the inflowing fluid and shield the center. Reduced view factors cause reduced radiative heat fluxes for dense clusters. Furthermore, convection is less sensitive to cluster shape than radiative heat transfer. New heat transfer models were derived from particle resolved simulations of particle clusters. Heat transfer increases at higher void fractions and vice versa, which is contrary to most existing models. Although derived from regular particle clusters, the new convective heat transfer models reasonably handle random clusters. Contrary, the developed correction for the radiative heat flux over-predicts shading effects for random clusters because of the used cluster shape. In unresolved Euler–Lagrange models, the new heat transfer models can significantly improve dense particle jets’ heat-up or thermochemical conversion modeling.
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4

Sun, J. G., and M. M. Chen. "Measurement of Surface Heat Transfer Due to Particle Impact." Journal of Heat Transfer 117, no. 4 (November 1, 1995): 1028–35. http://dx.doi.org/10.1115/1.2836277.

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Heat transfer coefficients for a surface continuously impacted by a stream of falling particles in air and in helium were measured as functions of particle flux and particle velocity. The purpose was to provide well-controlled data to clarify the mechanisms of heat transfer in particle suspension flows. The particles were spherical glass beads with mean diameters of 0.5, 1.13, and 2.6 mm. The distribution of the particle impact flux on the surface was determined by deconvolution from the measurement of the total solid masses collected at both sides of a movable splitter plate. The particle velocity was calculated from a simple, well-established model. The experimental results showed that in air, the heat transfer coefficient increases approximately linearly with particle impact flux. At high impact fluxes, the heat transfer coefficient decreases with particle impact velocity, and at low impact fluxes, it increases with particle impact velocity. Furthermore, the heat transfer coefficient decreases drastically with the particle size. In helium gas, it was found that at low particle impact fluxes, the difference between the coefficients in helium and in air is small, whereas at high fluxes, the difference becomes large. A length scale, V/n˙dp2, was used to correlate the data. At low particle Reynolds numbers, gas-mediated heat conduction was identified as the dominant particle/surface heat transfer mechanism, whereas at high particle Reynolds numbers, induced gas convection was the dominant mechanism.
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5

Luo, Xiaotong, Jiachuan Yu, Bo Wang, and Jingtao Wang. "Heat Transfer and Hydrodynamics in Stirred Tanks with Liquid-Solid Flow Studied by CFD–DEM Method." Processes 9, no. 5 (May 12, 2021): 849. http://dx.doi.org/10.3390/pr9050849.

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The heat transfer and hydrodynamics of particle flows in stirred tanks are investigated numerically in this paper by using a coupled CFD–DEM method combined with a standard k-e turbulence model. Particle–fluid and particle–particle interactions, and heat transfer processes are considered in this model. The numerical method is validated by comparing the calculated results of our model to experimental results of the thermal convection of gas-particle flows in a fluidized bed published in the literature. This coupling model of computational fluid dynamics and discrete element (CFD–DEM) method, which could calculate the particle behaviors and individual particle temperature clearly, has been applied for the first time to the study of liquid-solid flows in stirred tanks with convective heat transfers. This paper reports the effect of particles on the temperature field in stirred tanks. The effects on the multiphase flow convective heat transfer of stirred tanks without and with baffles as well as various heights from the bottom are investigated. Temperature range of the multiphase flow is from 340 K to 350 K. The height of the blade is varied from about one-sixth to one-third of the overall height of the stirred tank. The numerical results show that decreasing the blade height and equipping baffles could enhance the heat transfer of the stirred tank. The calculated temperature field that takes into account the effects of particles are more instructive for the actual processes involving solid phases. This paper provides an effective method and is helpful for readers who have interests in the multiphase flows involving heat transfers in complex systems.
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6

Gorman, John, and Eph Sparrow. "Fluid flow and heat transfer for a particle-laden gas modeled as a two-phase turbulent flow." International Journal of Numerical Methods for Heat & Fluid Flow 28, no. 8 (August 6, 2018): 1866–91. http://dx.doi.org/10.1108/hff-04-2018-0144.

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Purpose The purpose of this study is to examine the physical processes experienced by a particle-laden gas due to various types of collisions, different heat transfer modalities and jet axis switching. Here, attention is focused on a particle-laden gas subjected to jet axis switching while experiencing fluid flow and heat transfer. Design/methodology/approach The methodology used to model and solve these complex problems is numerical simulation treated here as a two-phase turbulent flow in which the gas and the particles keep their separate identities. For the turbulent flow model, validation was achieved by comparisons with appropriate experimental data. The considered interactions between the fluid and the particles include one-way fluid–particle interactions, two-way fluid–particle interactions and particle–particle interactions. Findings For the fluid flow portion of the work, emphasis was placed on the particle collection efficiency and on independent variables that affect this quantity and the trajectories of the fluid and of the particles as they traverse the space between the jet orifice and the impingement plate. The extent of the effect depended on four factors: particle size, particle density, number of particles and the velocity of the fluid flow. The major effect on the heat transferred to the impingement plate occurred when direct heat transfer between the impinging particles and the plate was taken into account. Originality/value This paper deals with issues never before dealt with in the published literature: the effect of jet axis switching on the fluid mechanics of gas-particle flows without heat transfer and the effect of jet axis switching and the presence of particles on jet impingement heat transfer. The overall focus of the work is on the impact of jet axis switching on particle-laden fluid flow and heat transfer.
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7

Niazi Ardekani, M., O. Abouali, F. Picano, and L. Brandt. "Heat transfer in laminar Couette flow laden with rigid spherical particles." Journal of Fluid Mechanics 834 (November 17, 2017): 308–34. http://dx.doi.org/10.1017/jfm.2017.709.

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We study heat transfer in plane Couette flow laden with rigid spherical particles by means of direct numerical simulations. In the simulations we use a direct-forcing immersed boundary method to account for the dispersed phase together with a volume-of-fluid approach to solve the temperature field inside and outside the particles. We focus on the variation of the heat transfer with the particle Reynolds number, total volume fraction (number of particles) and the ratio between the particle and fluid thermal diffusivity, quantified in terms of an effective suspension diffusivity. We show that, when inertia at the particle scale is negligible, the heat transfer increases with respect to the unladen case following an empirical correlation recently proposed in the literature. In addition, an average composite diffusivity can be used to approximate the effective diffusivity of the suspension in the inertialess regime when varying the molecular diffusion in the two phases. At finite particle inertia, however, the heat transfer increase is significantly larger, smoothly saturating at higher volume fractions. By phase-ensemble-averaging we identify the different mechanisms contributing to the total heat transfer and show that the increase of the effective conductivity observed at finite inertia is due to the increase of the transport associated with fluid and particle velocity. We also show that the contribution of the heat conduction in the solid phase to the total wall-normal heat flux reduces when increasing the particle Reynolds number, so that particles of low thermal diffusivity weakly alter the total heat flux in the suspension at finite particle Reynolds numbers. On the other hand, a higher particle thermal diffusivity significantly increases the total heat transfer.
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8

Yamada, Jun, Yasuo Kurosaki, and Takanori Nagai. "Radiation Heat Transfer Between Fluidizing Particles and a Heat Transfer Surface in a Fluidized Bed." Journal of Heat Transfer 123, no. 3 (January 8, 2001): 458–65. http://dx.doi.org/10.1115/1.1370503.

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We have investigated the radiation heat transfer occurring in a gas-solid fluidized bed between fluidizing particles and a cooled heat transfer surface. Experimental results reveal that cooled fluidizing particles exist near the surface and suppress the radiation heat transfer between the surface and the higher temperature particles in the depth of the bed. The results also clarify the effects of fluidizing velocity, optical characteristics of particles, and particle diameter on the radiation heat transfer. Based on these results, the authors propose a model for predicting the radiation heat transfer between fluidizing particles and a heat transfer surface.
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9

Pichler, Mario, Markus Bösenhofer, and Michael Harasek. "Dataset for the Heat-Up and Heat Transfer towards Single Particles and Synthetic Particle Clusters from Particle-Resolved CFD Simulations." Data 7, no. 2 (February 14, 2022): 23. http://dx.doi.org/10.3390/data7020023.

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Heat transfer to particles is a key aspect of thermo-chemical conversion of pulverized fuels. These fuels tend to agglomerate in some areas of turbulent flow and to form particle clusters. Heat transfer and drag of such clusters are significantly different from single-particle approximations commonly used in Euler–Lagrange models. This fact prompted a direct numerical investigation of the heat transfer and drag behavior of synthetic particle clusters consisting of 44 spheres of uniform diameter (60 μm). Particle-resolved computational fluid dynamic simulations were carried out to investigate the heat fluxes, the forces acting upon the particle cluster, and the heat-up times of particle clusters with multiple void fractions (0.477–0.999) and varying relative velocities (0.5–25 m/s). The integral heat fluxes and exact particle positions for each particle in the cluster, integral heat fluxes, and the total acting force, derived from steady-state simulations, are reported for 85 different cases. The heat-up times of individual particles and the particle clusters are provided for six cases (three cluster void fractions and two relative velocities each). Furthermore, the heat-up times of single particles with different commonly used representative particle diameters are presented. Depending on the case, the particle Reynolds number, the cluster void fraction, the Nusselt number, and the cluster drag coefficient are included in the secondary data.
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10

Tzeng, S. C., Wei Ping Ma, C. H. Liu, Wen Yuh Jywe, and Yung Cheng Wang. "Mechanisms of Heat Transfer in Rotary Shaft of Rotating Machine with Nano-Sized Particles Lubricant." Materials Science Forum 505-507 (January 2006): 31–36. http://dx.doi.org/10.4028/www.scientific.net/msf.505-507.31.

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This study presents an analysis of surfactant added by CuO and Al2O3 nano-sized particles of different percentages. After adding suspending nanocrystalline particles into lubricant of machines, the nano-sized particles will augment the heat transfer characteristics of fluids. Some former studies showed that such liquids pose a great potential for heat transfer enhancement. By applying nanofluids to heat transfer of machine lubricant, this paper attempts to explore dominating factors of heat transfer performance from various weight concentrations of nano-sized particles, the correlation among wall temperature, heat flux, rotational Reynolds number, Nusselt number, Grashof number and rotational Grashof number of four different concentrations. The results show that nano-sized particle lubricant offer a better heat transfer performance than typical lubricants. Since random movement and diffusing effect of nano-sized particles are one crucial factor for an increased heat transfer coefficient, adding 3.5% weight concentration nano-sized particle lubricant will produce an optimum heat transfer performance among Case I~IV.
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Дисертації з теми "Particle Heat Transfer"

1

Siebert, Annegret Waltraud. "Heat transfer characteristics of mechanically mobilised particle beds." Thesis, Cranfield University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323829.

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2

Black, Jennifer May. "Particle motion and heat transfer in rotary drums." Thesis, University of Edinburgh, 1988. http://hdl.handle.net/1842/11987.

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3

Kelly, Barry P. "Liquid-particle heat transfer in two phase flow systems." Thesis, Queen's University Belfast, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286853.

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4

Lints, Michael C. "Particle-to-wall heat transfer in circulating fluidized beds." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/13065.

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5

Balasubramaniam, V. M. "Liquid-to-particle convective heat transfer in aseptic processing systems." Connect to resource, 1993. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1145452388.

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6

Sistern, M. I. "An investigation into fluid to particle heat transfer and particle mixing in air and water fluidised beds." Thesis, University of Salford, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381700.

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7

Malhotra, Karun. "Particle flow and contact heat transfer characeristics of stirred granular beds." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=74233.

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Particle flow features and wall-to-bed contact heat transfer characteristics of beds of granular solids stirred by flat blades (paddle-type) in horizontal cylindrical troughs are presented and discussed. Variables examined include: bed-to-blade height ratio (2-10), agitator speed (0-60 rev/min), wall-to-blade clearance (2.3-80 mm), vessel diameter (250 and 500 mm), solids flowability (0.07-0.25), air flow rate (0-0.5 m/s), particle moisture content (0-0.85 kg water/kg dry particles), particle surface stickiness (0-1.3 $ times$ 10$ sp{-3}$ kg glycerine/kg dry particles) and blade configuration (perforated and non-perforated). Glass beads, rice, millet and linseed were used as model particles.
Overall mixing maps showing regimes of good and poor solids mixing are presented. Granular solids flowability was found to influence particle flow characteristics substantially within the bulk as well as the wall-to-blade clearance region of the bed. Bulk solids flowability in stirred vessels was characterized by a novel procedure which incorporated the combined effects of particle shape, surface roughness, moisture/stickiness and deformability. The torque required to stir the particulate bed is influenced strongly by the solids flowability and blade configuration.
A physical model for the wall-to-bed contact heat transfer coefficient based on particle renewal rates at the heated surface is proposed. The particle renewal rates and particle-surface contact times are evaluated exclusively from the particle flow information in the clearance region with no empirical parameters. The effects of particle shape and bed porosity at the contacting surface on the surface-to-particle thermal contact resistance were evaluated. Experimental results showing the effects of agitator speed, wall-to-blade clearance, solids flowability and air flow rate on the wall-to-bed average heat transfer rate are presented and discussed. The contact heat transfer model was found to predict the experimentally measured results reasonably well.
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8

He, Long. "Study of Fluid Forces and Heat Transfer on Non-spherical Particles in Assembly Using Particle Resolved Simulation." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/91400.

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Gas-solid flow is fundamental to many industrial processes. Extensive experimental and numerical studies have been devoted to understand the interphase momentum and heat transfer in these systems. Most of the studies have focused on spherical particle shapes, however, in most natural and industrial processes, the particle shape is seldom spherical. In fact, particle shape is one of the important parameters that can have a significant impact on momentum, heat and mass transfer, which are fundamental to all processes. In this study particle-resolved simulations are performed to study momentum and heat transfer in flow through a fixed random assembly of ellipsoidal particles with sphericity of 0.887. The incompressible Navier-Stokes equations are solved using the Immersed Boundary Method (IBM). A Framework for generating particle assembly is developed using physics engine PhysX. High-order boundary conditions are developed for immersed boundary method to resolve the heat transfer in the vicinity of fluid/particle boundary with better accuracy. A complete framework using particle-resolved simulation study assembly of particles with any shape is developed. The drag force of spherical particles and ellipsoid particles are investigated. Available correlations are evaluated based on simulation results and recommendations are made regarding the best combinations. The heat transfer in assembly of ellipsoidal particle is investigated, and a correlation is proposed for the particle shape studied. The lift force, lateral force and torque of ellipsoid particles in assembly and their variations are quantitatively presented and it is shown that under certain conditions these forces and torques cannot be neglected as is done in the larger literature.
Ph. D.
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9

English, Justin. "HEAT TRANSFER CHARACTERISTICS IN WILDLAND FUELBEDS." UKnowledge, 2014. http://uknowledge.uky.edu/me_etds/52.

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The fundamental physics governing wildland fire spread are still largely misunderstood. This thesis was motivated by the need to better understand the role of radiative and convective heat transfer in the ignition and spread of wildland fires. The focus of this work incorporated the use of infrared thermographic imaging techniques to investigate fuel particle response from three different heating sources: convective dominated heating from an air torch, radiative dominated heating from a crib fire, and an advancing flame front in a laboratory wind tunnel test. The series of experiments demonstrated the uniqueness and valuable characteristics of infrared thermography to reveal the hidden nature of heat transfer and combustion aspects which are taking place in the condensed phase of wildland fuelbeds. In addition, infrared thermal image-based temperature history and ignition behavior of engineered cardboard fuel elements subjected to convective and radiative heating supported experimental findings that millimeter diameter pine needles cannot be ignited by radiation alone even under long duration fire generated radiant heating. Finally, fuel characterization using infrared thermography provided a better understanding of the condensed phase fuel pyrolysis and heat transfer mechanisms governing the response of wildland fuel particles to an advancing flame front.
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10

Al-Rjoub, Marwan Faisal. "Enhanced Heat Transfer in Micro-Scale Heat Exchangers Using Nano-Particle Laden Electro-osmotic Flow (EOF)." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439305691.

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Книги з теми "Particle Heat Transfer"

1

Hassan, Onn. Liquid to particle heat transfer and particle mixing in fluidised beds. Salford: University of Salford, 1988.

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2

Sistern, Mark Ian. An investigation into fluid to particle heat transfer and particle mixing in air and water fluidised beds. Salford: University of Salford, 1987.

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3

Koskinen, Jukka Tapio. Use of population balances and particle size distribution analysis to study particulate processes affected by simultaneous mass and heat transfer an nonuniform flow conditions. Lappeenranta: Lappeenranta University of Technology, 1993.

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4

Danilov, V. G. Mathematical Modelling of Heat and Mass Transfer Processes. Dordrecht: Springer Netherlands, 1995.

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5

Wachspress, Eugene. The ADI Model Problem. New York, NY: Springer New York, 2013.

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6

1964-, Ji Lizhen, ed. Fifth International Congress of Chinese Mathematicians. Providence, R.I: American Mathematical Society, 2012.

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7

International Congress of Chinese Mathematicians (5th 2010 Beijing, China). Fifth International Congress of Chinese Mathematicians. Edited by Ji Lizhen 1964-. Providence, R.I: American Mathematical Society, 2012.

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8

Bensoussan, Alain. Asymptotic analysis for periodic structures. Providence, R.I: American Mathematical Society, 2011.

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9

Wirth, K. E., K. Wirth, and O. Molerus. Heat Transfer in Fluidized Beds (Particle Technology Series). Springer, 1997.

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10

Turton, Richard. Heat transfer studies in fine particle fluidized beds. 1986.

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Частини книг з теми "Particle Heat Transfer"

1

Merzkirch, Wolfgang. "Particle Image Velocimetry." In Heat and Mass Transfer, 341–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56443-7_16.

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2

Proulx, Pierre. "Plasma-Particle Heat Transfer." In Handbook of Thermal Science and Engineering, 2885–922. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-26695-4_25.

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3

Proulx, Pierre. "Plasma-Particle Heat Transfer." In Handbook of Thermal Science and Engineering, 1–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32003-8_25-1.

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4

Molerus, O., and K. E. Wirth. "Heat transfer in particle beds." In Heat Transfer in Fluidized Beds, 18–34. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5842-8_3.

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5

Faghri, Amir, and Yuwen Zhang. "Fluid-Particle Flow and Heat Transfer." In Fundamentals of Multiphase Heat Transfer and Flow, 623–86. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22137-9_11.

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6

Gouesbet, G., B. Maheu, and J. N. Le Toulouzan. "Simulation of Particle Multiple Scattering and Applications to Particle Diagnosis." In Heat Transfer in Radiating and Combusting Systems, 173–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84637-3_10.

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Boulos, Maher I., Pierre L. Fauchais, and Emil Pfender. "Plasma-Particle Momentum, Heat and Mass Transfer." In Handbook of Thermal Plasmas, 1–73. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-12183-3_29-1.

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Boulos, Maher I., Pierre L. Fauchais, and Emil Pfender. "Plasma-Particle Momentum, Heat and Mass Transfer." In Handbook of Thermal Plasmas, 1–65. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-12183-3_29-2.

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Molerus, O., and K. E. Wirth. "Particle migration at solid surfaces and heat transfer in bubbling fluidized beds." In Heat Transfer in Fluidized Beds, 5–17. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5842-8_2.

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10

Dong, Qiwu, Ke Wang, Songtao Kong, and Yongqing Wang. "Flow Field and Heat Transfer in Chaoticadvector Fins." In Particle and Continuum Aspects of Mesomechanics, 761–68. London, UK: ISTE, 2010. http://dx.doi.org/10.1002/9780470610794.ch78.

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Тези доповідей конференцій з теми "Particle Heat Transfer"

1

Kumar, Apurv, Jin-Soo Kim, and Wojciech Lipiński. "Radiation Characteristics of a Particle Curtain in a Free-Falling Particle Solar Receiver." In ASME 2017 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ht2017-5117.

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Radiation absorption by a particle curtain formed in a solar free falling particle receiver is investigated using a Eulerian-Eulerian granular two-phase model to solve the two-dimensional mass and momentum equations (CFD). The radiative transfer equation is subsequently solved by the Monte-Carlo (MC) ray-tracing technique using the CFD results to quantify the radiation intensity through the particle curtain. The CFD and MC results provide reliable opacity predictions and are validated with the experimental results available in literature. The particle curtain was found to absorb the solar radiation efficiently for smaller particles at high flowrates due to higher particle volume fraction and increased radiation extinction. However, at low mass-flowrates the absorption efficiency decreases for small and large particles.
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2

Schmeling, Daniel, Marek Czapp, Johannes Bosbach, and Claus Wagner. "Development of Combined Particle Image Velocimetry and Particle Image Thermography for Air Flows." In 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-22774.

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Simultaneous measurements of instantaneous velocity and temperature fields of air flows by means of Particle Image Velocimetry (PIV) and Particle Image Thermography (PIT) enables highly demanded studies on thermal plumes, their dynamics and the resulting heat transfer for Pr ≈ 0.7. Thereby, small particles of thermochromic liquid crystals (TLCs), which reveal temperature depending reflection properties are used as tracer particles for combined PIT and PIV. The feasibility of the method is demonstrated in a Rayleigh-Be´nard convection experiment in a cubical enclosure. Furthermore, a new particle generator being able to produce continuously very small monodisperse droplets of TLCs has been designed. The improvement of the developmental process for mixed and Rayleig-Be´nard convection studies is discussed. Thereby, special focus is laid on the production process of small TLCs, the generation of monodisperse acetone-TLC droplets and the temperature depending colour play of the produced particles.
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3

Ma, Binjian, and Debjyoti Banerjee. "Predicting Particle Size Distribution in Nanofluid Synthesis." In ASME 2017 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ht2017-5048.

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Wet chemistry approaches have been widely used to synthesize nanoparticle suspensions with different size and shape. Controlling particle size is crucial for tailoring the properties of the nanofluid. In this study, we simulated the particle size growth during a thermal-chemical nanofluid synthesis routine. The simulation was based on the population balance model for aggregation kinetics, which is coupled with thermal decomposition, nucleation and crystal growth kinetics. The simulation result revealed a typical burst nucleation mechanism towards self-assembly of supersaturated monomers in the nanoparticle formation process and the shift from monodispersed particles to polydispersed particles by the particle-particle coagulation.
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4

Kumar, Anurag, Eiyad Abu-Nada, Toru Yamada, Yutako Asako, and Mohammad Faghri. "Non-Orthogonal Transformation of Irregular Geometry for Particle Based Simulation." In 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-22476.

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Simulations of irregular geometries using non-orthogonal transformation is widely used in grid based methodology such as computational fluid dynamics. However, this approach is not utilized for particle based models. In this paper we introduce non-orthogonal transformation to simulate fluid flow in irregular geometry using dissipative particle dynamics (DPD). Applying boundary condition is not trivial in DPD methodology and problem becomes more complicated for irregular boundary. In the present work, irregular (physical) domain is transformed into a rectangular domain and boundary particles are frozen along the wall. Transformation for position and velocity is used to relate physical and computational domains. As particle’s position and velocity change with time, transformation matrices are determined for each DPD particle at every time step. In DPD, forces are function of actual distance between the particles and acts within a cutoff radius, which change in transformed domain at every location. To solve this problem, firstly, interacting particles are identified in the physical domain and then forces are calculated in the transformed domain. This approach is described by simulating fluid flow inside a convergent-divergent nozzle, whose geometry is controlled by the contraction ratio (CR) in the middle of the nozzle. The DPD results were validated against in-house computational fluid dynamic (CFD) finite volume code based on the stream function vorticity approach. The range of Reynolds number and CR, under study here, is Re = 10–200 and CR = 0.8 and 0.6, respectively. The results revealed an excellent agreement between the DPD and CFD. The maximum deviation between the DPD and CFD results is within 2%. It is found that using large values of dissipative force parameter velocity fluctuations are less.
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5

van der Geld, Cees W. M., J. J. van de Voorde, P. Venkateswaran, and B. I. Master. "PARTICLE TRAJECTORIES IN A HELIXCHANGER." In International Heat Transfer Conference 11. Connecticut: Begellhouse, 1998. http://dx.doi.org/10.1615/ihtc11.1460.

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6

Cao, Lujie, Gang Pan, and Hui Meng. "Three-Dimensional Measurement of Aerosol Particle Clustering in Homogeneous Isotropic Turbulence." In ASME 2003 Heat Transfer Summer Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/ht2003-47435.

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Due to the inertial mismatch between dense particles and lighter surrounding gas, aerosol particles in the size range 1 to 10 μm cluster in a flow field. This phenomenon, sometimes referred to as preferential concentration, can increase the particle coagulation rate by as much as two orders of magnitude. Many direct numerical simulation (DNS) studies have been conducted to study preferential concentration and various theoretical models have been proposed to predict the effect of clustering on particle collision rate. However, to date there is very little experimental data available to validate DNS results and theoretical models. In this study, we apply our state-of-the-art holographic imaging system to measure the 3D position of particles in a turbulence chamber. Nearly homogenous isotropic turbulence is generated in the center of the chamber by use of eight fans mounted in the corners. With our holographic imaging system, individual particles can be measured simultaneously and hence we are able to calculate particle radial distribution function (RDF), a statistical measure of particle clustering and a key variable in collision kernel. In this paper we report the first experimental 3D RDF to date. Comparison between our 3D RDF and 2D RDF results shows that significant bias exists in experimental results obtained using 2D experimental techniques.
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7

Paz, M. C., J. Porteiro, A. Eirís, and E. Suárez. "Computational model for particle deposition in turbulent gas flows for CFD codes." In HEAT TRANSFER 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/ht100121.

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8

Chen, Xue, Mingyan Gu, Xianhui He, Yu-Yu Lin, and Huaqiang Chu. "NUMERICAL STUDIES OF COAL PARTICLE HEAT TRANSFER AND IGNITION MODE OF TWO INTERACTING COAL PARTICLES." In International Heat Transfer Conference 16. Connecticut: Begellhouse, 2018. http://dx.doi.org/10.1615/ihtc16.cat.023167.

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9

Hetsroni, Gad, Albert Mosyak, and Elena Pogrebnyak. "Heat transfer in particle laden flow." In International Heat Transfer Conference 12. Connecticut: Begellhouse, 2002. http://dx.doi.org/10.1615/ihtc12.4440.

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10

Fan, Jing, and Liqiu Wang. "Numerical Simulation of Thermal Conductivity of Nanofluids." In 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-22453.

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The recent first-principle model shows a dual-phase-lagging heat conduction in nanofluids at the macroscale. The macroscopic heat-conduction behavior and the thermal conductivity of nanofluids are determined by their molecular physics and microscale physics. We examine numerically effects of particle-fluid thermal conductivity ratio, particle volume fraction, shape, aggregation, and size distribution on macroscale thermal properties for nine types of nanofluids, without considering the interfacial thermal resistance and dynamic processes on particle-fluid interfaces and particle-particle contacting surfaces. The particle radius of gyration and non-dimensional particle-fluid interfacial area in the unit cell are two very important parameters in characterizing the effect of particles’ geometrical structures on thermal conductivity of nanofluids. Nanofluids containing cross-particle networks have conductivity which practically reaches the Hashin-Shtrikman bounds. Moreover, particle aggregation influences the effective thermal conductivity only when the distance between particles is less than the particle dimension. Uniformly-sized particles are desirable for the conductivity enhancement, although to a limited extent.
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Звіти організацій з теми "Particle Heat Transfer"

1

Sun, J., M. M. Chen, and B. T. Chao. Surface heat transfer due to particle impact. Office of Scientific and Technical Information (OSTI), August 1989. http://dx.doi.org/10.2172/5721537.

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2

Campbell, C. S. Mechanics/heat-transfer relation for particle flows: Quarterly report. Office of Scientific and Technical Information (OSTI), January 1989. http://dx.doi.org/10.2172/6233102.

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3

Thuc Bui, Michael Read, and Lawrence ives. Integration of Heat Transfer, Stress, and Particle Trajectory Simulation. Office of Scientific and Technical Information (OSTI), May 2012. http://dx.doi.org/10.2172/1040617.

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4

Golden, James H. Convective Heat Transfer Enhancement Using Alternating Magnetic Fields and Particle Laden Fluid Applied to the Microscale. Fort Belvoir, VA: Defense Technical Information Center, May 2010. http://dx.doi.org/10.21236/ada548935.

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5

Campbell, C. S. Mechanics/heat-transfer relation for particulate materials. [Measure of particle pressure generated in a bed of FCC catalyst that is undergoing particulate fluidization]. Office of Scientific and Technical Information (OSTI), July 1991. http://dx.doi.org/10.2172/5126131.

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6

Rightley, M. Multi-dimensional discrete ordinates solutions to combined mode radiation heat transfer problems and their application to a free-falling particle, direct absorption solar receiver. Office of Scientific and Technical Information (OSTI), November 1989. http://dx.doi.org/10.2172/5232064.

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7

Lattanzi, Aaron, and Christine Hrenya. Final Technical Report: Using Solid Particles as Heat Transfer Fluid for use in Concentrating Solar Power (CSP) Plants. Office of Scientific and Technical Information (OSTI), March 2016. http://dx.doi.org/10.2172/1253079.

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8

Hruby, Jill, Richard Steeper, Gregory Evans, and Clayton Crowe. An Experimental and Numerical Study of Flow and Convective Heat Transfer in a Freely Falling Curtain of Particles. Office of Scientific and Technical Information (OSTI), April 1986. http://dx.doi.org/10.2172/1616232.

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