49312 Advanced Flow Modelling
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Subject handbook information prior to 2025 is available in the Archives.
Credit points: 6 cp
Subject level:
Postgraduate
Result type: Grade and marksRequisite(s): 120 credit points of completed study in spk(s): C09066-C09067, and Category Type = Bachelor's Honours Embedded OR 120 credit points of completed study in spk(s): C09068-C09075, and Category Type = Bachelor's Combined Honours OR 120 credit points of completed study in spk(s): C10061 Bachelor of Engineering Diploma Engineering Practice OR 120 credit points of completed study in spk(s): C10062-C10063, and Category Type = Bachelor's Combined Degree OR 120 credit points of completed study in spk(s): C10065 Bachelor of Engineering Bachelor of Business OR 120 credit points of completed study in spk(s): C10066-C10067, and Category Type = Bachelor's Degree OR 120 credit points of completed study in spk(s): C10068 Bachelor of Engineering Bachelor of Business Diploma Engineering Practice OR 120 credit points of completed study in spk(s): C10073-C10076, and Category Type = Bachelor's Combined Degree OR 120 credit points of completed study in spk(s): C10078-C10079, and Category Type = Bachelor's Combined Degree
These requisites may not apply to students in certain courses. See access conditions.
Description
Computational fluid dynamics (CFD) is being accepted as a major design and analysis tool of modern engineering and technology, relating to the flow of fluids and heat. Along with more traditional modelling techniques, this subject provides exposure to the numerical methods in CFD computer codes and experience in the practical application of commercial CFD packages. Importantly, it develops in students skills in the evaluation of the solution integrity. On completion, students have proficiency to undertake important roles in this exciting new field across the entire engineering spectrum and, in particular, in the mechanical, aeronautical, civil and environmental context.
Subject learning objectives (SLOs)
Upon successful completion of this subject students should be able to:
| 1. | Demonstrate understanding of advanced concepts, together with the assumptions made in their development, pertaining to computational modelling of flow of fluids and heat. (D.1) |
|---|---|
| 2. | Apply knowledge rationally and effectively to practical engineering situations, including analysis and design of engineering systems and devices, involving flow of fluids and heat using CFD. (C.1) |
| 3. | Recognise possible applications and links to other disciplines and engage in further specialised study or research. (D.1) |
Course intended learning outcomes (CILOs)
This subject also contributes specifically to the development of the following Course Intended Learning Outcomes (CILOs):
- Design Oriented: FEIT graduates apply problem solving, design thinking and decision-making methodologies in new contexts or to novel problems, to explore, test, analyse and synthesise complex ideas, theories or concepts. (C.1)
- Technically Proficient: FEIT graduates apply theoretical, conceptual, software and physical tools and advanced discipline knowledge to research, evaluate and predict future performance of systems characterised by complexity. (D.1)
Contribution to the development of graduate attributes
Engineers Australia Stage 1 Competencies
Students enrolled in the Master of Professional Engineering should note that this subject contributes to the development of the following Engineers Australia Stage 1 competencies:
- 1.2. Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
- 1.3. In-depth understanding of specialist bodies of knowledge within the engineering discipline.
- 2.1. Application of established engineering methods to complex engineering problem solving.
- 2.2. Fluent application of engineering techniques, tools and resources.
Teaching and learning strategies
This subject is delivered using a combination of video lectures with notes and tutorial activities. The assessment is largely project-based, in which students must demonstrate a solid understanding and application of the theories learned in the video lectures to the solution of practical problems.
Pre-readings and videos are provided on Canvas for students to engage in before the online lecture and then to use as a platform for discussions during online lecture. Students will be given additional examples in class to discuss concepts and understandings amongst themselves and the tutor. In the online class, students will be provided with examples that they can explore out of class and these will contribute to their group work and project report. Students collaborate in zoom class discussions and in teams of 4-5. Students work together to produce assignments and to research their project.
The research project lends itself to inquiry. Research can be organised as group work where students have some control over their own learning. Students are enabled to build connections between what is being learned and the experience of the learners through peer conversations and tutor feedback. Each tutorial, students demonstrate their progress on in-class tasks that lead to their assignment completion. Verbal feedback is provided in each session by teaching staff on a one-to-one and group basis
Content (topics)
This subject extends students' knowledge through the coverage of advanced topics in flow modelling. The subject introduces the powerful methodology of Computational Fluid Dynamics (CFD) and discusses its advantages over the traditional experimental alternative. It presents the governing Navier Stokes equations and examines their few analytical solutions. It provides numerical solutions to simple test cases. It then proceeds to provide experience in the application of CFD software to practical problems. The subject examines turbulence, drag and lift, flow involving heat transfer. Aspects which are covered include details of the software, mesh generation, boundary conditions, solution schemes and turbulence modelling. It canvasses CFD's broad applicability across not just engineering but also other physical sciences.
Assessment
Assessment task 1: Project
| Intent: | To apply and extend knowledge to obtain a solution for a technical problem. |
|---|---|
| Objective(s): | This assessment task addresses the following subject learning objectives (SLOs): 1, 2 and 3 This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs): C.1 and D.1 |
| Type: | Project |
| Groupwork: | Individual |
| Weight: | 25% |
| Length: | Minimum 15 pages |
Assessment task 2: Assignment Part 1
| Intent: | To apply and extend knowledge as part of a group to obtain a solution for a technical problem. |
|---|---|
| Objective(s): | This assessment task addresses the following subject learning objectives (SLOs): 1, 2 and 3 This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs): C.1 and D.1 |
| Type: | Report |
| Groupwork: | Group, individually assessed |
| Weight: | 25% |
| Length: | Minimum 15 pages |
Assessment task 3: Assignment Part 2
| Intent: | To apply and extend the fluid flow knowledge on particle transport and analyse the multiphase flow behaviour for an engineering problem. |
|---|---|
| Objective(s): | This assessment task addresses the following subject learning objectives (SLOs): 1, 2 and 3 This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs): C.1 and D.1 |
| Type: | Report |
| Groupwork: | Group, individually assessed |
| Weight: | 25% |
| Length: | Minimum 15 pages |
Assessment task 4: Assignment Part 3
| Intent: | To apply and extend the CFD knowledge on an engineering problem and analyse the thermal performance of the system. |
|---|---|
| Objective(s): | This assessment task addresses the following subject learning objectives (SLOs): 1, 2 and 3 This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs): C.1 and D.1 |
| Type: | Report |
| Groupwork: | Group, individually assessed |
| Weight: | 25% |
| Length: | Minimum 15 pages |
Minimum requirements
In order to pass the subject, a student must achieve an overall mark of 50% or more.
Required texts
ANSYS User Guide
Recommended texts
ANSYS User Guide
References
• Tu, J, G H Yeoh and C Liu (2008), Computational fluid dynamics: a practical approach, Butterworth-Heinemann (Available Online through the UTS Library)