Computational Fluid Dynamics (ENGR90024)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Overview
Availability | Semester 1 |
---|---|
Fees | Look up fees |
AIMS
This subject provides presents fundamental numerical techniques relevant to the simulation of fluid flow and heat/mass transfer. It will give students an understanding of common numerical methods operating “under the hood” in Computational Fluid Dynamics software, and will provide students with an introductory basis for writing computer code to implement such numerical procedures.
INDICATIVE CONTENT
Ordinary Differential Equations: explicit and implicit methods, stability, systems of ODEs, boundary value problems, MATLAB. Partial Differential Equations: overview, types of equations, boundary conditions, convection-diffusion equations, differencing schemes, finite volume method, stability - von Neumann analysis, error analysis - dispersion, diffusion errors, solving Laplace and Poisson equations, methods for solving Navier-Stokes equations. OpenFoam: fundamentals of OpenFoam - examples, solving simple 2D problems, Laplace and Poisson equations with OpenFoam, solving complex 2D fluid flow problems. C and C++ programming.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
On completion of this subject the student is expected to:
- Apply the differential equations governing fluid flow, heat transfer and mass transport to formulate strategies for the solution of engineering problems
- Use basic methods for solving these equations numerically using a computer
- Use a Computational Fluid Dynamics software package to solve engineering problems.
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: 3 November 2022
Eligibility and requirements
Prerequisites
ONE OF:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ENGR30002 | Fluid Mechanics |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MCEN30018 | Thermodynamics and Fluid Mechanics |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
(Prior to 2012, ENGR30001 Fluid Mechanics and Thermodynamics)
and ONE OF:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20029 | Engineering Mathematics |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
Summer Term (On Campus - Parkville)
|
12.5 |
MAST20030 | Differential Equations | Semester 2 (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
None
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: 3 November 2022
Assessment
Additional details
- Class tests and assignments (40%), assessed throughout the semester. Time commitment of approximately 45-50 hours. Intended Learning Outcomes (ILOs) 1 to 3 addressed in the assignments and tests
- 3 hour end–of semester exam (60%). ILOs 1 to 3 addressed in the exam.
Hurdle requirement: A pass in the end of semester examination is required to pass the subject
Last updated: 3 November 2022
Dates & times
- Semester 1
Principal coordinator Dalton Harvie Mode of delivery On Campus (Parkville) Contact hours 3 x 1 hour lectures + 1 x 2 hour workshop per week Total time commitment 200 hours Teaching period 27 February 2017 to 28 May 2017 Last self-enrol date 10 March 2017 Census date 31 March 2017 Last date to withdraw without fail 5 May 2017 Assessment period ends 23 June 2017 Semester 1 contact information
Dr Dalton Harvie
Email: daltonh@unimelb.edu.au
Time commitment details
Estimated 200 hours
Last updated: 3 November 2022
Further information
- Texts
- 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 Philosophy - Engineering Course Ph.D.- Engineering Specialisation (formal) Chemical Specialisation (formal) Mechanical with Business Informal specialisation Master of Engineering (Chemical) Informal specialisation Master of Engineering (Biochemical) Informal specialisation Master of Engineering (Mechanical with Business) Specialisation (formal) Mechanical Specialisation (formal) Biochemical Informal specialisation Master of Engineering (Mechanical) - 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.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
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
Last updated: 3 November 2022