Fluid Mechanics.
Non-Newtonian Flow:
Fluid classification, model fluids, power law fluids, time-dependent behaviour, laminar flow, velocity profiles, viscometers, turbulent flow, friction factor, generalised equations of flow.
Compressible Flow:
Governing equations: velocity of sound, isentropic conditions, Mach number, steady isentropic flow, non-parallel sided ducts, convergent-divergent ducts and orifices, stagnation conditions, Laval nozzle, normal shock wave in diffuser, Fanno flow - compressible flow in a duct, isothermal flow in pipes.
Thermodynamics.
Heat Transfer:
Revision of one-dimensional conduction heat transfer theory and applications, Fourier's law of conduction, thermal conductivity, Newton's law of cooling, heat transfer coefficient. Extended surfaces, straight fins: long, short - distinguishing criteria Biot number.
Computational Fluid Dynamics.
Conservation laws of fluid motion and boundary conditions. Differential and integral forms of the general transport equations. Turbulence and it's modelling. The finite volume method for convection - diffusion problems. The central differencing scheme. Solution algorithms for pressure - velocity coupling. Introduction to CFD software pre-processor, solver and post-processor. CFD analysis examples of heat and fluid flow closed system, pipe system, open flow system. Convergence and stability. Evaluating a CFD analysis and validating results. Advanced topics and applications, for example, combustion modelling, multi-phase flows, non-Newtonian fluid flows, heat transfer.
On successful completion of this module the student should be able to:
1. demonstrate a critical understanding of thermo fluids topics such as: non-Newtonian fluid flow in flow systems; compressible flow in flow systems; heat transfer theory in the design of extended surfaces; M1,M4
2. develop a critical understanding of advanced heat transfer theory in the design of extended surfaces; M2,M4
3. demonstrate a critical understanding of the numerical methods used in CFD; M3
4. demonstrate a critical understanding and evaluation of errors and limitations of CFD M3
5. translate a complex physical system to a model suitable for CFD analysis; M3
6. perform a detailed analysis of a complex physical system using a commercial CFD software package; M2, M3
7. critically evaluate the results of a CFD analysis. M3
The lectures will be used to convey the theory, the design concepts and working principles of the material covered, with suitable explanatory examples. Structured investigations will be used to gain familiarisation with CFD technology. Supported investigation will be used to explore the capabilities and limitations of commercial CFD software. Appropriate coursework and case studies will be used to enhance understanding of the material covered and application of CFD to engineering problems. Private study will be used to reinforce material delivered on relevant topics. Independent learning will be encouraged to satisfy the student's particular interests.
Critical thinking and problem solving numeracy and CAD skills knowledge and understanding in the context of the subject independent working advanced information retrieval skills communication skills, written and listening cognitive/intellectual skills.
