Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location in first half year 2021.
Semester 1 - Online
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Within this subject you will learn how to use Computational Fluid Dynamics (CFD) to solve practical industrial and research related fluid flow and heat/mass transfer problems. The major assessment within this subject is a capstone project, requiring a CFD treatment of a major piece of equipment related to your degree discipline area. This project may be industry or research based. Learning is supported by a number of structured group-based workshops completed throughout the semester, requiring completion of associated on-line quizzes. This subject may be completed entirely online. Guest lectures from academia and industry will share insights into how they use CFD in their research/workplace.
The content of this subject is split between two related modules:
1) Fundamentals of CFD: Within this module we will cover the mathematical basis of modern CFD methods, using MATLAB as a programming tool to demonstrate specific fundamental concepts. Specific topics include overview, conservation laws, advection-diffusion equations, differencing schemes, finite volume method, stability analysis, error analysis, boundary conditions and solution algorithms for solving Navier-Stokes equations.
2) Applications of CFD: This module will be based around the industry-relevant CFD package ANSYS Fluent. Specific topics include: How to run a basic simulation, meshing, laminar 2D and 3D flows, boundary conditions, discretisation methods, visualisation, turbulence, disperse multiphase flows, free-surface multiphase flows, coupled heat and mass transfer, chemical reactions, use of CFD in industry and research.
Intended learning outcomes
On completion of this subject the student is expected to:
- Formulate strategies for the solution of engineering problems by applying the differential equations governing fluid flow, heat transfer and mass transport
- Solve these equations numerically by writing simple computer programs
- Choose optimal mathematical and numerical methods from currently available technology to solve a physical CFD problem
- Solve engineering problems using a current computational fluid dynamics software package
- Evaluate the numerical errors inherent in a problem solution
- Distil and communicate key aspects of complex processes so that it is accessible to end-users.
- In-depth technical competence in at least one engineering discipline
- Ability to undertake problem identification, formulation, and solution
- Ability to utilise a systems approach to complex problems and to design and operational performance
- Capacity for lifelong learning and professional development.
Last updated: 18 December 2020