dc.description.abstract | When a disordered packed bed, or any heterogeneous media is studied
using computational fluid dynamics, the tortuous task of generating a
domain and creating a workable mesh presents a challenging issue to
Engineers and Scientists. In this Thesis these challenges are addressed
in the form of three studies in which both traditional and novel techniques
are used to generate packed beds of spheres and cylinders for
analysis using computational fluid dynamics, more specifically, the finite
volume method. The first study uses a Monte-Carlo method to
generate random particle locations for use with a traditional CADbased
meshing approach. Computational studies are performed and
compared in detail with experimental equivalent beds. In the second
study, where there is a need for actual, physical beds to be studied,
magnetic-resonance-imaging is used coupled with a novel approach
known as image based meshing. In parallel experimental studies are
performed on the experimental bed and compared with computational
data. In the third study, to overcome fidelity issues with the previous
approaches, a physical packed bed is manufactured which is
100% geometrically faithful to its computational counterpart to provide
a direct comparison. All three computational studies have shown
promising results in comparison with the experimental data described
in this Thesis, with the data of Reichelt (1972) and the semi-empirical
correlation of Eisfeld & Schnitzlein (2001). All experiments and computational
models were carried out by the author unless otherwise
stated. | en_GB |