Faculty of Engineering

Undergraduate - Unit

This unit entry is for students who completed this unit in 2014 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

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6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered, or view unit timetables.

FacultyFaculty of Engineering
Organisational UnitDepartment of Mechanical and Aerospace Engineering
OfferedClayton Second semester 2014 (Day)
Coordinator(s)Professor Mark Thompson (Clayton); Dr Tan Boon Thong (Malaysia)


Computational Fluid Dynamics (CFD) is a well-established analysis, design and optimaisation approach for industrial fluid and heat transfer problems.Examples include turomachinery, vehicle aerodynamics and aeronautics. It is also a powerful research tool and is being increasingly used to answer fundamental questions in a wide range of fields, from astrophysics to nanomaterials. This Unit provides an introduction to this mathematically sophisticated discipline. This involves a review of the equations governing motion and energy of fluids, the mathematical properties of these equations and the relevance of such properties to obtaining numerical solutions. The basics of numerical discretization and solution methods will be discussed. The Unit will also introduce you to using commercial CFD packages in analysing complex industrial problems involving fluids.


Examination (3 hours): 50%
Tests: 20%
Assignments: 30%

Students are required to achieve at least 45% in the total continuous assessment component (assignments, tests, mid-semester exams, laboratory reports) and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit. Students failing to achieve this requirement will be given a maximum of 45% in the unit.

Chief examiner(s)

Workload requirements

5 contact hours per week including lectures, tutorials and computer laboratory classes and 7 hours of private study per week.


MEC3451 and MEC3456 or MAE3401 and MAE2403 or MAE3403