Doktorarbeit / Dissertation, 2013
152 Seiten, Note: 1
Chapter 1 introduces the motivation and objective of the dissertation. It provides a brief overview of particle-laden flows and the challenges associated with their simulation. The chapter also outlines the structure of the thesis. Chapter 2 reviews the fundamental equations governing fluid flow and introduces the concepts of discrete particle modeling and Eulerian-Lagrangian coupling. It discusses the advantages and disadvantages of different modeling approaches. Chapter 3 describes the numerical methods used in the dissertation. It presents details about the finite volume method for solving the fluid flow equations and the discrete element method for simulating particle motion. It also discusses various coupling approaches for integrating the two methods. Chapter 4 focuses on the validation and application of the developed hybrid model. It presents validation cases using experimental data and an industrial application of the model.
EUgran+ is a numerical hybrid model that combines Eulerian-Eulerian granular phase modeling with Eulerian-Lagrangian methods for simulating particulate flows.
The Poly version accounts for poly-dispersed particle diameter distributions, including new drag laws and particle-wall collision conditions (sliding vs. non-sliding).
It is a new implementation of the population balance equation in the agglomeration model using an Eulerian-Lagrangian approach.
The model was validated using poly-dispersed particle conveying in square and rectangular pipes and a vertical pipe for agglomeration, as well as an industrial cyclone simulation.
Hybrid models provide a computational efficient compromise for simulating particle transport and separation across different mass loading regimes, improving agreement with measurements.
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