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Friday, April 24, 2020 | History

2 edition of Measuring and modelling of particle-fluid flow in a riser reactor found in the catalog.

Measuring and modelling of particle-fluid flow in a riser reactor

Pekka Viitanen

Measuring and modelling of particle-fluid flow in a riser reactor

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  • 16 Currently reading

Published by Technical Research Centre of Finland in Espoo .
Written in English

    Subjects:
  • Fluidization -- Mathematical models.

  • Edition Notes

    Includes bibliographical references (p. 72-74).

    StatementPekka Viitanen.
    SeriesVTT publications -- 88., VTT julkaisuja -- 88.
    ContributionsValtion teknillinen tutkimuskeskus.
    The Physical Object
    Pagination74 p. :
    Number of Pages74
    ID Numbers
    Open LibraryOL15535193M
    ISBN 109513840662

    An example is the riser of a circulating gas fluidised bed. As the upward flow of gas causes the solid particles to accelerate from zero velocity at the bottom to an equilibrium velocity at the height of about five to ten meters, the full multiphase model is required to describe this process. Free essays, homework help, flashcards, research papers, book reports, term papers, history, science, politics.


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Measuring and modelling of particle-fluid flow in a riser reactor by Pekka Viitanen Download PDF EPUB FB2

Under the volumetric flow balance conditions, we deduce different boundary conditions at the entrance and the exit of the reactor, and in both discrete model and. A three-dimensional model for gas-solid flow in a circulating fluidized bed (CFB) riser was developed based on computational particle fluid dynamics (CPFD).

The model was used to simulate the gas-solid flow behavior inside a circulating fluidized bed riser operating at various superficial gas velocities and solids mass fluxes in two fluidization regimes, a dilute phase Cited by: This study analyzes particle-fluid flow patterns in the riser, and diagnoses Measuring and modelling of particle-fluid flow in a riser reactor book uneven distribution of particle flow using a computational particle fluid dynamics (CPFD) method to solve this real industrial problem.

Through this analysis, the effect of the number of feed injectors is by: 1. Gas–solid flow in the riser of a dense fluidized bed using Geldart B particles (sand), at high gas velocity (– m/s) and with comparatively high solid flux (– kg/m 2 s), was investigated experimentally and simulated by computational fluid dynamics (CFD), both two- and three-dimensional and using the Gidaspow, O’Brien-Syamlal, Koch-Hill-Ladd and EMMS drag Cited by: 5.

Modelling and Simulation of Unsteady Reactive Fluid-Particle Multiphase Flows. Abbas, A. Ozel, JF Parmentier, R. Ansard, A. Konan, B.

Metay, - Spray into the enclosure of a nuclear reactor - Coal boiler for CO2 capture: "chemical looping" based on a Lagrangian modelling of particle- fluid, particle -particle. developed based on computational particle fluid dynamics (CPFD).

The model was used to simulate the gas-solid flow behavior inside a circulating fluidized bed riser operating at various. and return to the reactor at different elevations through the primary- and secondary-stage diplegs.

Figure 1. Three-dimensional large-scale reactor model with internals. The turbulent gas-solid flow inside the reactor was numerically simulated with the commercial Barracuda CPFD TM software package.

Three 2-stage (primary and secondary) cyclones. Particle-fluid two-phase flow: the energy-minimization minimum fluidization Mode PFC/FD Model LG operating conditions optical fiber parameters particle aggregation particle velocity particle-fluid contacting particle-fluid interaction particle-fluid system particle-fluid two-phase flow PFC regime References to this book.

Multiscaling in. With the development of computing power, the simulation of circulating fluidized bed (CFB) has developed from Measuring and modelling of particle-fluid flow in a riser reactor book simulation to riser-only simulation, then to full-loop simulation.

This paper compared these three methods based on pilot-scale CFB experiment data to find the scope of application of each method. All these simulations, using the Eulerian–Eulerian two Cited by: 1.

The flow structure, and particle-particle and particle-fluid forces are analysed to understand the fundamentals governing this effect.

The results suggest that the solids volume fraction of 20% (or M:C ratio of 4 by volume) is a critical point for the DMC. Gas–solid concurrent Measuring and modelling of particle-fluid flow in a riser reactor book possess unique features when compared to other gas–solid systems.

Establishing their fluid dynamic properties requires both experimental measurements of gas-solid flow properties and computational modeling. Measuring gas-solid flow properties such as cluster solid concentrations, individual cluster slip velocities, and cluster sizes, involves the Cited by: 3.

Laboratory for Simulation and Modelling of Particulate Systems Publications. SIMPAS Publications. When applying a measuring Measuring and modelling of particle-fluid flow in a riser reactor book to a laboratory or industrial gas–solid fluidized bed, the validity and accuracy of the measurement strongly depend on the intrinsic complexity of the flow system, such as the heterogeneous phase distribution, flow-regime variation, velocity and acceleration of gas and solid phase, flow disturbance as well as opacity Cited by:   A particulate system can be described through the discrete approach at the microscopic level or through the continuum approach at the macroscopic level.

It is very significant to develop the method to link the two approaches for the development of models allowing a better understanding of the fundamentals of particulate systems. Several averaging Cited by: 9. Three flow configurations are considered in order to study the effect of finite particle size on the overall flowfield: (a) gravitational settling, (b) fluidization by Cited by: Abstract.

China’s unique energy reserve structure abundant in coal and scarce in crude oil and natural gas has promoted heavy investment on the research and development of clean coal chemical technologies during last two decades, which has turned China into a heartland for demonstrating, developing, and commercializing virtually every aspect of new coal chemical.

We apply smoothed dissipative particle dynamics (SDPD) [Español and Revenga, Phys. Rev. E 67, ()] to model solid particles in suspension. SDPD is a thermodynamically consistent version of smoothed particle hydrodynamics (SPH) and can be interpreted as a multiscale particle framework linking the macroscopic SPH to the mesoscopic Cited by: We report a computational fluid dynamics–discrete element method (CFD-DEM) simulation study on the interplay between mass transfer and a heterogeneous catalyzed chemical reaction in cocurrent gas-particle flows as encountered in risers.

Slip velocity, axial gas dispersion, gas bypassing, and particle mixing phenomena have been evaluated under riser flow conditions to Cited by: Figure 3: Computational domain for the fluid flow on the LD9 concentrator.

Figure 4: Computational domain for the Eulerian particulate-water flow on the LD9 concentrator. The volume fraction and mainstream velocity of the particulate phase were arbitrarily specified to give the desired flow rate.

Time-steps of s were used. In this work, a CFD model for simulating industrial scale particle-fluid systems is used to model a fluidized bed reactor for the deposition of high-purity silicon from silane gas.

The performance of these reactors is directly dependent on a large number of factors and parameters which make the design and optimization of the deposition reactors Cited by: 9.

3 Wang C-X and Zhu J-X, “Development in the Understanding of Gas-Solid Contract Efficiency in the Circulating Fluidized Bed Riser Reactor: A Review”, Chinese J.

of Chem. Eng., 24(1),4 Kong L, Zhu J-X and Zhang C, “Numerical Simulation of Catalytic Ozone Decomposition Reaction in a Gas-Solids Circulating Fluidized Bed Riser. Measuring gas −solid flow properties such as cluster solid concentrations, individual cluster slip velocities, and cluster sizes, involves the use of specialized optical equipment, as well as a rigorous data analysis by: 3.

An important topic in fluid dynamics is multiphase flows. Multiphase flows can be found in numerous fields in engineering, e.g. aerospace, biomedical, chemical, electrical, environmental, mechanical, materials, nuclear and naval engineering. There is an enormous variation in applications, e.g.

rocket engines, chemical reactors, contamination spreading, multiphase. The book comprises the fundamentals of the numerical simulation of fluid flows as well as the modelling of a power plant and plant components. The fundamental equations for heat and mass transfer will be prepared for the application in the numerical simulation.

Selected numerical methods will be discussed in detail. Work published on gas-solid fluidization since is reviewed, with emphasis on findings that appear to be new or to represent significant steps forward in advancing the understanding of fluidization phenomena, or which have potential practical implications.

Hydrodynamic regimes ranging from bubbling to fast fluidization are addressed. Mixing phenomena and circulating. list of pg courses in iit delhi. Urnf 1 t t t t (i) 0 (iilO 6 a where A is the cross-sectional area of the bed. the theory models a fluidized bed as consisting of: (a) A particulate phase in which the flow rate is equal to the flowrate for incipient fluidization) thus remains the best initial estimate for bubble flowrate.

and (b) A bubble phase which carries the addItional. As defined by the latter authors, the theory models a fluidized bed as consisting of: (a) A particulate phase in which the flow rate is equal to the flowrate for incipient fluidization, i.e.

the voidage.i~essentially con~t~n~at Em!; and (b) A bubble phase which carries the addItional flow of flUIdIZIng flUId.

Single AM L Modelling & Analysis-I: degree of freedom systems. Multi-degree of 3 credits () freedom systems. Distributed parameter systems. Modelling and analysis in the context of design morphology, CAD and concurrent AML Modern Engineering Materials: Engineering Analysis of stress, fluid flow and 3 Credits () heat transfer.

This chapter describes the mathematical equations used to model fluid flow, heat, and mass transfer in ANSYS CFX for single-phase, single and multi-component flow without combustion or radiation. It is designed to be a reference for those users who desire a more detailed understanding of the mathematics underpinning the CFX-Solver, and is.

It is our intention that Modeling and Simulation of Catalytic Reactors for Petroleum Refining will quickly become a leading book in this field through its emphasis on detailed descriptions of catalytic reactor modeling used in the petroleum refining industry, its use of laboratory and commercial data for model validations, the details provided.

70 Instrumentation for Fluid-Particle Flow analyzer was varied with the applied voltage (0+4 kv) from which the mobility distribution was back calculated. A knowledge of the mobility K, gives the particle charge Q from the relation (K= +1 for the Cunningham correction, Brodkeyd.

An overview of the computational fluid dynamics (CFD) modelling techniques used to study multiphase reacting flow in fluidized bed reactors is presented in this chapter. Research in fluidized bed gasifiers has gained momentum in recent years due. where Ap = (pp - PG). Here pp, PG, dp,/2 Gand g refer to particle and gas density, particle diameter, gas viscosity and gravity respectively.

New pairs of values of (G, C2) have been proposed (Lucas et al. ; Adanez & Abanades ) which are particle-shape dependent and species dependent, adding to the large number of pairs already in the literature as. The canonical flow in the central cross section of a a cubic cavity ( aspect ratio) in our lid-driven cavity apparatus is used for validation purposes.

The downstream secondary eddy (DSE) is the sensitive portion of this flow and its size was measured with increasing Reynolds number (via increasing belt velocity). Modeling of a Transport of Riser Reactor.

Catalytic Cracking of Vacuum Gas Oil. UNIT II PARTICLE FLUID INTERACTION 9 boundary layer flow, conduction, heat exchanger, heat transfer in packed bed, diffusion, packed bed adsorption, plug flow reactor, hierarchy in model development, classification and solution.

Basic Solver Capability Theory: Documentation Conventions Symbol Description concentration of components A and B i.e. mass per unit volume of components A and B (single-phase flow) Reynolds Stress model constant Dimensions cp specific heat capacity at constant pressure L T Θ cv specific heat capacity at constant volume L T Θ c ε1 Reynolds.

An example is the riser of a circulating gas fluidised bed. As the upward flow of gas causes the solid particles to accelerate from zero velocity at the bottom to an equilibrium velocity at the height of about five to ten meters, the full multiphase model is required to describe this : This report is the result of a workshop on multiphase flow research held at the National Energy Technology Laboratory, Morgantown, West Virginia, on JuneThe workshop was sponsored by Dr.

Robert Romanosky, Technology Manager for Power Systems Advanced Research at : Foreword MS/PhD are completely different from other programmes at IIT Madras. These are the research based programmes and the scholars acquire the capability of finding solutions to those problems that are encountered in industries, by applying the theory studied earlier.

Full text of "Hydraulic research in the United States and Canada, " See other formats.The feedstock material, whose composition, mass flow rate, and phase distribution often vary with time, is introduced to the core process (e.g., a catalytic reactor or a flotation tank).

The chemistry or physics driving the core process will generally depend upon the .Direct Numerical Simulation of Particle-Fluid Flow: the State-of-the-Art. Ho, T. Ebook. / Kosinski, Design of a Laser Assisted Aerosol Reactor for Production of Ceramics on Semi-Industrial Scale.

van Erven, J. W. M. / Trzeciak, Meso-Scale Modelling and Measuring Bulk Cohesion in Surface-Wet Granular Assemblies. Tuzun.