Computational Fluid Dynamics

Subject ENGR90024 (2016)

Note: This is an archived Handbook entry from 2016.

Credit Points: 12.5
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2016:

Semester 1, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 29-Feb-2016 to 29-May-2016
Assessment Period End 24-Jun-2016
Last date to Self-Enrol 11-Mar-2016
Census Date 31-Mar-2016
Last date to Withdraw without fail 06-May-2016


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 3 x 1 hour lectures + 1 x 2 hour workshop per week
Total Time Commitment:

Estimated 200 hours

Prerequisites:

ONE OF:

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

(Prior to 2012, ENGR30001 Fluid Mechanics and Thermodynamics)

and ONE OF:

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

Coordinator

Dr Dalton Harvie

Contact

Dr Dalton Harvie

Email: daltonh@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 (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

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): Doctor of Philosophy - Engineering
Master of Philosophy - 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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