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The Resource CFD simulations of particle laden flows : Particle transport and separation
CFD simulations of particle laden flows : Particle transport and separation
Resource Information
The item CFD simulations of particle laden flows : Particle transport and separation represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Multnomah County Library.This item is available to borrow from all library branches.
Resource Information
The item CFD simulations of particle laden flows : Particle transport and separation represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Multnomah County Library.
This item is available to borrow from all library branches.
 Summary

 This study presents the basic models for discrete and continuous particle laden flow simulation. An overview of the two main approaches, the Lagrangian discrete particle model and the Eulerian granular phase model is given. Moreover these two approaches are combined to a hybrid model to use the benefits of the discrete and continuous description. This safes computational time and increase the efficiency of particle laden flow simulations. Furthermore the models are extended to polydisperse particles including a simple agglomeration model based on a population balance equation. Finally the usability of the models is shown at a pneumatic particle transport system including particle strand building and the separation of particles using an industrial cyclone. Auszug aus dem Text Text Sample: Chapter 2.7, Turbulence modeling: In the preheating tower, the gas flow has a Reynolds number of more than Re = 105. Furthermore, the gas flow is turbulent. One problem due to computational limitations, is that the grid size must be in a range where it is not possible to resolve all turbulent scales. Hence, the turbulence of the gas phase is commonly represented by turbulence models to account for the influence of unresolved eddies in the mean flow. Turbulence models that are commonly used in industrial cases are the Reynolds Averaged NavierStokes (RANS) models (for example ke, RSM) because they include the influence of small vortices. In literature there are two basic approaches to extend single phase RANS to multiphase flows. One approach is the mixture approach and the second one is the dispersed approach. In the mixture approach a dilute to medium density particulate flow is assumed and for the dispersed approach a dilute particulate flow is assumed. Furthermore, in dense particulate flow regimes, the gas flow through the particles is assumed to be
 laminar. The mixture model is a good choice if the density ratio between the phases is around one [ANSYS, 2009], which is not the case in our flow situation. Consequently, in this work we used the dispersed RANS model as turbulence model, because it is important to model the physics of turbulence in dispersed regions correctly. 2.8, Boundary Conditions: The main challenge at the wall is to calculate the shear stresses t kcs and the flux of fluctuation energy, q, from the wall into the domain. Particles hitting a wall can either slide, roll or are directly reflected back. Johnson and Jackson [1987] presented a model, which is nowadays commonly used for simulations. However, this model ignores the fact that a granular medium sliding at a wall can only exert a shear stress limited by Coulumbs law to the wall. This, in term, implies that these boundary conditions overestimate t kcs and q in rapid granular flows. This is recognized by the model of Jenkins and Louge [1997]. The paper of Schneiderbauer et al. [2012b] is a generalization of the boundary conditions derived in Jenkins and Louge [1997]. The new set of boundary conditions for the Eulerian phase described in Schneiderbauer et al. [2012b] has been applied during this survey. In the case of the preheating tower, simulating wall bounded particle conveying is crucial because of the high impact of walls on strand formated particleladen flows. Obviously, this requires a thorough modelling of particlewall interactions. Hence this new boundary condition should be used for the simulations. Biographische Informationen Dr. David Schellander was born on 17th of December 1983 in Hall in Tirol in Austria. After his study of mechatronics he wrote his PhDthesis at the Johannes Kepler University in Linz in the field of particle laden flow simulations. During his study he worked several years in the topic
 of particle flows and pneumatic particle laden flows. After finishing his PhDthesis he used his expert knowledge in particle laden flow simulations to improve the quality of CFD simulation codes
 Language
 eng
 Edition
 1st ed.
 Extent
 1 online resource (153 pages)
 Contents

 CFD simulations of particle laden flows
 Preface
 Abstract
 Contents
 Abbreviations
 Chapter 1: Introduction and motivation
 1.1 Numerical simulation of particleladen flow
 1.2 Aim of this work
 1.3 Organization of this book
 Chapter 2: Eulerian granular phase modelling
 2.1 Continuity equation
 2.2 Moment balance
 2.3 Granular temperature
 2.4 Radial distribution function
 2.5 Drag coefficient and interphase momentum exchange
 2.6 Solids Stresses
 2.7 Turbulence modelling
 2.8 Boundary Conditions
 Chapter 3: Lagrangian discrete phase modelling
 3.1 Force balance and torque balance
 3.2 Forces on a particle
 3.3 Torq ue
 3.4 Turbulent fluctuations
 3.5 Particle wall collisions
 Chapter 4: The hybrid model EUgran+Poly
 4.1 Motivation and overview
 4.2 Coupling and exchange forces
 4.3 Coupling forces on the Eulerian granular phase
 4.4 Coupling forces on the Lagrangian tracer particles
 4.5 Simulation sequence and implementation
 Chapter: Agglomeration
 5.1 Simple models
 5.2 Particle population balance equation
 5.3 Bus stop model
 5.4 Volume population balance model
 Chapter 6: Validation by labscale experiments
 6.1 Dilute polydispersed flow in a duct
 6.2 Monodispersed flow in a medium laden duct
 6.3 Agglomeration of polydispersed particulate flow in a vertical pipe
 Chapter 7: Application to cyclone seperation
 7.2 Hybrid Model
 7.2 Agglomeration
 Chapter 8: Conclusion and Outlook
 A: Restitution coefficients are no constants
 B: Computation of Lagrangian particlewall collision
 C: UDF Structure of hybrid model
 D: Cyclone dimensions based on Muschelknautz theory
 E: Nomenclature
 List of Figures
 List of Tables
 Bibliography
 Isbn
 9783954896714
 Label
 CFD simulations of particle laden flows : Particle transport and separation
 Title
 CFD simulations of particle laden flows
 Title remainder
 Particle transport and separation
 Language
 eng
 Summary

 This study presents the basic models for discrete and continuous particle laden flow simulation. An overview of the two main approaches, the Lagrangian discrete particle model and the Eulerian granular phase model is given. Moreover these two approaches are combined to a hybrid model to use the benefits of the discrete and continuous description. This safes computational time and increase the efficiency of particle laden flow simulations. Furthermore the models are extended to polydisperse particles including a simple agglomeration model based on a population balance equation. Finally the usability of the models is shown at a pneumatic particle transport system including particle strand building and the separation of particles using an industrial cyclone. Auszug aus dem Text Text Sample: Chapter 2.7, Turbulence modeling: In the preheating tower, the gas flow has a Reynolds number of more than Re = 105. Furthermore, the gas flow is turbulent. One problem due to computational limitations, is that the grid size must be in a range where it is not possible to resolve all turbulent scales. Hence, the turbulence of the gas phase is commonly represented by turbulence models to account for the influence of unresolved eddies in the mean flow. Turbulence models that are commonly used in industrial cases are the Reynolds Averaged NavierStokes (RANS) models (for example ke, RSM) because they include the influence of small vortices. In literature there are two basic approaches to extend single phase RANS to multiphase flows. One approach is the mixture approach and the second one is the dispersed approach. In the mixture approach a dilute to medium density particulate flow is assumed and for the dispersed approach a dilute particulate flow is assumed. Furthermore, in dense particulate flow regimes, the gas flow through the particles is assumed to be
 laminar. The mixture model is a good choice if the density ratio between the phases is around one [ANSYS, 2009], which is not the case in our flow situation. Consequently, in this work we used the dispersed RANS model as turbulence model, because it is important to model the physics of turbulence in dispersed regions correctly. 2.8, Boundary Conditions: The main challenge at the wall is to calculate the shear stresses t kcs and the flux of fluctuation energy, q, from the wall into the domain. Particles hitting a wall can either slide, roll or are directly reflected back. Johnson and Jackson [1987] presented a model, which is nowadays commonly used for simulations. However, this model ignores the fact that a granular medium sliding at a wall can only exert a shear stress limited by Coulumbs law to the wall. This, in term, implies that these boundary conditions overestimate t kcs and q in rapid granular flows. This is recognized by the model of Jenkins and Louge [1997]. The paper of Schneiderbauer et al. [2012b] is a generalization of the boundary conditions derived in Jenkins and Louge [1997]. The new set of boundary conditions for the Eulerian phase described in Schneiderbauer et al. [2012b] has been applied during this survey. In the case of the preheating tower, simulating wall bounded particle conveying is crucial because of the high impact of walls on strand formated particleladen flows. Obviously, this requires a thorough modelling of particlewall interactions. Hence this new boundary condition should be used for the simulations. Biographische Informationen Dr. David Schellander was born on 17th of December 1983 in Hall in Tirol in Austria. After his study of mechatronics he wrote his PhDthesis at the Johannes Kepler University in Linz in the field of particle laden flow simulations. During his study he worked several years in the topic
 of particle flows and pneumatic particle laden flows. After finishing his PhDthesis he used his expert knowledge in particle laden flow simulations to improve the quality of CFD simulation codes
 Cataloging source
 MiAaPQ
 LC call number
 TA357  .S3 2014eb
 Literary form
 non fiction
 Nature of contents
 dictionaries
 Label
 CFD simulations of particle laden flows : Particle transport and separation
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 CFD simulations of particle laden flows  Preface  Abstract  Contents  Abbreviations  Chapter 1: Introduction and motivation  1.1 Numerical simulation of particleladen flow  1.2 Aim of this work  1.3 Organization of this book  Chapter 2: Eulerian granular phase modelling  2.1 Continuity equation  2.2 Moment balance  2.3 Granular temperature  2.4 Radial distribution function  2.5 Drag coefficient and interphase momentum exchange  2.6 Solids Stresses  2.7 Turbulence modelling  2.8 Boundary Conditions  Chapter 3: Lagrangian discrete phase modelling  3.1 Force balance and torque balance  3.2 Forces on a particle  3.3 Torq ue  3.4 Turbulent fluctuations  3.5 Particle wall collisions  Chapter 4: The hybrid model EUgran+Poly  4.1 Motivation and overview  4.2 Coupling and exchange forces  4.3 Coupling forces on the Eulerian granular phase  4.4 Coupling forces on the Lagrangian tracer particles  4.5 Simulation sequence and implementation  Chapter: Agglomeration  5.1 Simple models  5.2 Particle population balance equation  5.3 Bus stop model  5.4 Volume population balance model  Chapter 6: Validation by labscale experiments  6.1 Dilute polydispersed flow in a duct  6.2 Monodispersed flow in a medium laden duct  6.3 Agglomeration of polydispersed particulate flow in a vertical pipe  Chapter 7: Application to cyclone seperation  7.2 Hybrid Model  7.2 Agglomeration  Chapter 8: Conclusion and Outlook  A: Restitution coefficients are no constants  B: Computation of Lagrangian particlewall collision  C: UDF Structure of hybrid model  D: Cyclone dimensions based on Muschelknautz theory  E: Nomenclature  List of Figures  List of Tables  Bibliography
 Control code
 EBC1640291
 Dimensions
 unknown
 Edition
 1st ed.
 Extent
 1 online resource (153 pages)
 Form of item
 online
 Isbn
 9783954896714
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Note
 Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
 Sound
 unknown sound
 Specific material designation
 remote
 System control number

 (MiAaPQ)EBC1640291
 (AuPeEL)EBL1640291
 (CaPaEBR)ebr10856533
 (OCoLC)871859385
 Label
 CFD simulations of particle laden flows : Particle transport and separation
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 CFD simulations of particle laden flows  Preface  Abstract  Contents  Abbreviations  Chapter 1: Introduction and motivation  1.1 Numerical simulation of particleladen flow  1.2 Aim of this work  1.3 Organization of this book  Chapter 2: Eulerian granular phase modelling  2.1 Continuity equation  2.2 Moment balance  2.3 Granular temperature  2.4 Radial distribution function  2.5 Drag coefficient and interphase momentum exchange  2.6 Solids Stresses  2.7 Turbulence modelling  2.8 Boundary Conditions  Chapter 3: Lagrangian discrete phase modelling  3.1 Force balance and torque balance  3.2 Forces on a particle  3.3 Torq ue  3.4 Turbulent fluctuations  3.5 Particle wall collisions  Chapter 4: The hybrid model EUgran+Poly  4.1 Motivation and overview  4.2 Coupling and exchange forces  4.3 Coupling forces on the Eulerian granular phase  4.4 Coupling forces on the Lagrangian tracer particles  4.5 Simulation sequence and implementation  Chapter: Agglomeration  5.1 Simple models  5.2 Particle population balance equation  5.3 Bus stop model  5.4 Volume population balance model  Chapter 6: Validation by labscale experiments  6.1 Dilute polydispersed flow in a duct  6.2 Monodispersed flow in a medium laden duct  6.3 Agglomeration of polydispersed particulate flow in a vertical pipe  Chapter 7: Application to cyclone seperation  7.2 Hybrid Model  7.2 Agglomeration  Chapter 8: Conclusion and Outlook  A: Restitution coefficients are no constants  B: Computation of Lagrangian particlewall collision  C: UDF Structure of hybrid model  D: Cyclone dimensions based on Muschelknautz theory  E: Nomenclature  List of Figures  List of Tables  Bibliography
 Control code
 EBC1640291
 Dimensions
 unknown
 Edition
 1st ed.
 Extent
 1 online resource (153 pages)
 Form of item
 online
 Isbn
 9783954896714
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Note
 Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
 Sound
 unknown sound
 Specific material designation
 remote
 System control number

 (MiAaPQ)EBC1640291
 (AuPeEL)EBL1640291
 (CaPaEBR)ebr10856533
 (OCoLC)871859385
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