Solid particles heavily affect the hydrodynamics in slurry bubble columns. The effects arise through varying breakup and coalescence behavior of the bubbles with the presence of solid particles where particles in the micrometer range lead to a promotion of coalescence in particular. To simulate the gas–liquid–solid flow in a slurry bubble column, the Eulerian multifluid approach can be employed to couple computational fluid dynamics (CFD) with the population balance equation (PBE) and thus to account for breakup and coalescence of bubbles.
In this work, three approaches are presented to modify the breakup and coalescence models to account for enhanced coalescence in the coupled CFD–PBE framework. The approaches are applied to a reference simulation case with available experimental data. In addition, the impacts of the modifications on the simulated bubble size distribution (BSD) and the applicability of the approaches are evaluated. The capabilities as well as the differences and limits of the approaches are d emonstrated and explained.
Components of the Book:
- Chapter 1
Modeling of Solid-Particle Effects on Bubble Breakage and Coalescence in Slurry Bubble Columns
- Chapter 2
Impact of Chosen Force Fields and Applied Load on Thin Film Lubrication
- Chapter 3
CO2 Capture Using Membrane Contactors: A Systematic Literature Review
- Chapter 4
The Comparison of Design Airflow Rates with Dynamic and Steady-State Displacement Models in Varied Dynamic Conditions
- Chapter 5
The Use of Carbon Nanomaterials in Membrane Distillation Membranes: A Review
- Chapter 6
Evolution of Real Area of Contact Due To Combined Normal Load and Sub-Surface Straining In Sheet Metal
- Chapter 7
CFD-Based Modelling Of Phase Transformation in Laser Welded Low-Carbon Steel
- Chapter 8
Information Criteria and Cross Validation for Bayesian Inference in Regular and Singular Cases
- Chapter 9
Typical Field Lines of Beltrami Flows and Boundary Field Line Behaviour of Beltrami Flows on Simply Connected, Compact, Smooth Manifolds with Boundary
- Chapter 10
Holographic Anisotropic Model for Light Quarks with Confinement-Deconfinement Phase Transition
- Chapter 11
Multiscale Friction Model for Hot Sheet Metal Forming
- Chapter 12
Optimal Control of Buoyancy-Driven Liquid Steel Stirring Modeled With Single-Phase Navier–Stokes Equations
- Chapter 13
Analysis of a Bistable Climate Toy Model with Physics-Based Machine Learning Methods
- Chapter 14
Operator Complexity: A Journey to The Edge Of Krylov Space
- Chapter 15
Multi-Paradigm Modelling For Cyber–Physical Systems: A Descriptive Framework
Readership:
Students, academics, teachers and other people attending or interested in High Energy Physics
Thi D. TA
School of Mechanical, Materials, Mechatronics, and Biomedical Engineering, University of Wollongong, NSW 2522, Australia
Sanaa Hafeez
Division of Chemical and Energy Engineering, School of Engineering, London South Bank University, London SE1 0AA, UK
Sebastian Leaper
Department of Chemical Engineering and Analytical Science, School of Engineering, The University of Manchester, Manchester, M13 9PL, UK
David MATTHEWS
Laboratory for Surface Technology and Tribology, Faculty of Engineering Technology, University of Twente, Enschede 7522 NB, the Netherlands
E. Rabinovici
Racah Institute of Physics, The Hebrew University, Jerusalem 9190401, Israel
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