Computational Fluid Dynamics

This subject has the following teaching availabilities in 2016:

Estimated 200 hours

ONE OF:

(Prior to 2012, ENGR30001 Fluid Mechanics and Thermodynamics)

and ONE OF:

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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

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 (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.

• 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

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This subject is not available as a breadth subject.

• 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.

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.