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Computational Fluid Dynamics (ENGR90024)
Graduate courseworkPoints: 12.5Online
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.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Associate Professor Dalton Harvie
Email: daltonh@unimelb.edu.au
Overview
Availability | Semester 1 - Online |
---|---|
Fees | Look up fees |
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. 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.
Generic skills
- 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: 31 January 2024
Eligibility and requirements
Prerequisites
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ENGR30002 | Fluid Mechanics |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
MCEN30018 | Thermodynamics and Fluid Mechanics |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Online)
|
12.5 |
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Ability to perform simple programming tasks using Matlab
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Major assignment, completed individually, requiring multiple simulations of a discipline-specific piece of equipment, documented within a technical report.
| During the examination period | 60% |
Major assignment project pitch, completed individually. Short (<10mins) presentation outlining equipment to be considered in the major assignment.
| From Week 6 to Week 8 | 10% |
Online quizzes (10 x 3% ), to be completed individually; 4-hour each (including participation in an associated 3-hour workshop).
| From Week 1 to Week 10 | 30% |
Last updated: 31 January 2024
Dates & times
- Semester 1 - Online
Principal coordinator Dalton Harvie Mode of delivery Online Contact hours 24 x 1 hour lectures, 10 x 3 hour workshops, additional voluntary consultation sessions Total time commitment 200 hours Teaching period 1 March 2021 to 30 May 2021 Last self-enrol date 12 March 2021 Census date 31 March 2021 Last date to withdraw without fail 7 May 2021 Assessment period ends 25 June 2021 Semester 1 contact information
Associate Professor Dalton Harvie
Email: daltonh@unimelb.edu.au
Time commitment details
Estimated 200 hours
Additional delivery details
Online (with optional on-campus consultation sessions)
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
None
- Subject notes
LEARNING AND TEACHING METHODS
The subject will be delivered through a combination of lectures and workshops. Students will also complete two assignments which will reinforce the material covered in lectures.
INDICATIVE KEY LEARNING RESOURCES
Students will have access to lecture material, computing resources, and Computational Fluid Dynamics software. The subject LMS site also contains example MATLAB and C computer code, and worked solutions, relevant to the workshops.
CAREERS / INDUSTRY LINKS
One assignment will involve the use of the Computational Fluid Dynamics software in an engineering context.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Doctor of Philosophy - Engineering Course Master of Environmental Engineering Course Master of Engineering Course Ph.D.- Engineering Course Master of Philosophy - Engineering Specialisation (formal) Biochemical Specialisation (formal) Chemical with Business Specialisation (formal) Civil Specialisation (formal) Biomedical Specialisation (formal) Environmental Specialisation (formal) Chemical Specialisation (formal) Mechanical Specialisation (formal) Mechanical with Aerospace Specialisation (formal) Mechanical with Business - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 31 January 2024