Semester 1, 2022 Online | |
Units : | 1 |
Faculty or Section : | Faculty of Health, Engineering and Sciences |
School or Department : | School of Engineering |
Grading basis : | Graded |
Course fee schedule : | /current-students/administration/fees/fee-schedules |
Staffing
Examiner:
Requisites
Pre-requisite: MEC3107 or MEC3102 or ENV3104 or Students must be enrolled in the following Program: MEPR
Overview
This course introduces Computational Fluid Dynamics (CFD), which enables the accurate simulation of realistic fluid processes, utilising modern computing power. This extends the capability of engineers beyond the simplified models (as taught in other courses) that are commonly used in industry.
This course covers the theoretical and practical components of the CFD framework to enable the student to simulate real fluid flow problems which are more complex than solved in prior undergraduate courses in fluid mechanics. Students will become fluent in conducting each stage of the process so that they can solve practical problems using advanced analysis. These problems can be simple fluid flow (either liquid or gas), involve heat transfer, chemical reactions and/or multiple phases [i.e. a flow containing a mixture of gas, liquid and solid (normally solid particles)]. Problems which students will analyse will be drawn from cases such as: pipe flows (gaseous or liquid), airflows over vehicles (e.g. cars, trucks and aircraft), wind loading on structures, hydraulic flows (e.g. rivers and water treatment plants), heat exchangers and combustion (e.g. engines and furnaces).
Course learning outcomes
On successful completion of this course students should be able to:
- characterise the transport equations for fluid flow and how they can be solved;
- construct a model for the fluid flow problem that needs to be solved;
- evaluate different CFD programs and discretise the domain to produce a mesh which will enable an accurate solution for the chosen program;
- appraise the models for physical phenomena;
- appraise the numerical methods for the discretisation of the transport equations and generate accurate results;
- critically evaluate the results of simulations.
Topics
Description | Weighting(%) | |
---|---|---|
1. | Introduction | 10.00 |
2. | Geometry | 10.00 |
3. | Meshing | 10.00 |
4. | Basic Fluid Flow Models | 10.00 |
5. | Post-processing | 10.00 |
6. | Solution Analysis and Optimisation | 30.00 |
7. | Advanced Physical Models | 20.00 |
Text and materials required to be purchased or accessed
Student workload expectations
To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.
Assessment details
Description | Group Assessment |
Weighting (%) | Course learning outcomes |
---|---|---|---|
Report 1 | No | 20 | 1,2 |
Critique (written) | No | 10 | 1,2,3,4,5,6 |
Report 2 | No | 30 | 1,2,3,4,5,6 |
Model (theoretical) | No | 40 | 1,2,3,4,5,6 |