This module aims to provide the student with the necessary skills to collate experimental data from previous research papers and build a model of that scenario and critically analyse the data using a range of mathematical models and cross reference that with other published literature.
Differential flow analysis: Introduction and history of CFD, various codes available, typical applications, case studies from various real life applications such as biomedical problems, environmental fluid dynamics, and pipe flows. Conservation laws of fluid motion and boundary conditions, mass conservation in 3D, Navier stokes equations for a Newtonian fluid, differential and integral forms of the general transport equations.
CFD theory: Turbulence and its modelling, eddies, vortex, Reynolds stresses, closure issues, characteristics of simple turbulent flows such as Jets, mixing layer and a wake, flat plate, boundary layer and pipe flow, log-law layer. Finite volume method theory and various turbulence models (Turbulence models such as zero equation, k-e, RSM, large eddy), discretisation techniques and solution algorithms for pressure-velocity coupling in unsteady flow.
Practical CFD: CFD Operation, pre-processing grid generation, selection of physical and chemical phenomena and specification of boundary conditions for various scenarios. Post processing of data, vector plots, 2d/3d surface contour plots, particle tracking, translations, scaling and output of spreadsheet data. Application of CFD – a variety of case studies will be presented and their general findings. Project to compare previous experimental research data with CFD model created by the student
Transient Dynamic Analysis: Introduction, explicit versus implicit analysis, time domain versus frequency domain
Multi-physics Modelling: Introduction to the use of a multi-physics simulation environment, including structures, fluids, thermal properties, and possibly electromagnetics. Development of multi-physics models
