Computational Fluid Dynamics

Subject ENGR90024 (2014)

Note: This is an archived Handbook entry from 2014.

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject is not offered in 2014.

Time Commitment: Contact Hours: 3 x one hour lectures + 1 x two hour workshop per week
Total Time Commitment:

Estimated 200 hours

Prerequisites:

Students must have passed ONE OF the following subjects:

Subject
Study Period Commencement:
Credit Points:
Semester 1, Semester 2
12.50

ENGR30001 Fluid Mechanics and Thermodynamics

MCEN30018 Thermodynamics and Fluid Mechanics

and ONE OF the following subjects:

Subject
Study Period Commencement:
Credit Points:
Summer Term, Semester 1, Semester 2
12.50
Corequisites:

None

Recommended Background Knowledge:

None

Non Allowed Subjects:

None

Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.

The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability

Contact

Email: m.davidson@unimelb.edu.au

Subject Overview:

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.

Learning Outcomes:

INTENDED LEARNING OUTCOMES (ILO)

On completion of this subject the student is expected to:

  1. Apply the differential equations governing fluid flow, heat transfer and mass transport to formulate strategies for the solution of engineering problems
  2. Use basic methods for solving these equations numerically using a computer
  3. Use a Computational Fluid Dynamics software package to solve engineering problems

Assessment:
  • Class tests and assignments during the semester contributing 40% to the final mark
  • An end of semester examination not exceeding three hours contributing 60% to the final mark

Hurdle requirement: A pass in the end of semester examination is required to pass the subject

Prescribed Texts:

None

Recommended Texts:

None

Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
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

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 Course(s): Master of Philosophy - Engineering
Ph.D.- Engineering
Related Majors/Minors/Specialisations: B-ENG Mechanical Engineering stream
Master of Engineering (Biochemical)
Master of Engineering (Chemical)
Master of Engineering (Mechanical)

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