Computational Fluid Dynamics

Description

AIM 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. Guest lectures from academia and industry will share insights into how they use CFD in their research/workplace. SUBJECT CONTENT 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. Please view this video for further information: Computational Fluid Dynamics Teaching Period: 2 March 2026 to 31 May 2026 Assessment Information: Description Timing Percentage Simulation-based written assignment, including discussion of simulation methods used. Major assignment, completed individually, requiring multiple simulations of a discipline-specific piece of equipment, documented within a technical report. In addition required 10min discussion with one of the subject coordinators explaining preliminary results and employed simulation methods. Intended Learning Outcomes (ILOs) 1 - 6 are addressed in the assignment. 80 hours (of work required) Hurdle requirement: Students must pass the major assignment to pass the subject, including passing the simulation methods discussion. Simulation method discussion held in Weeks 9-12. Report submission due during the examination period. 60% Major assignment project pitch, completed individually. Intended Learning Outcomes (ILOs) 1 - 6 are addressed in the assignment. 25 hours (of work required) From Week 6 to Week 8 20% Online quizzes (10 x 2%), to be completed individually; 4-hour each (including participation in an associated 3-hour workshop). Intended Learning Outcomes (ILOs) 1 - 6 are addressed in the quizzes. 40 hours From Week 1 to Week 10 20%