精东传媒app

UniSQ Logo
The current and official versions of the course specifications are available on the web at .
Please consult the web for updates that may occur during the year.

MEC5100 Computational Fluid Dynamics

Semester 1, 2023 Online
Units : 1
School or Department : School of Engineering
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Course Coordinator:

Requisites

Pre-requisite: MEC3107 or MEC3102 or MEC4108 or MEC5107 or ENV3104 or ENV5104 or Students must be enrolled in the following Program: MEPR

Overview

This course introduces Computational Fluid Dynamics (CFD), which enables the accurate simulation of realistic fluid processes, utilising modern computing power. This extends the capability of engineers beyond the simplified models (as taught in other courses) that are commonly used in industry.

This course covers the theoretical and practical components of the CFD framework to enable the student to simulate real fluid flow problems which are more complex than solved in prior undergraduate courses in fluid mechanics. Students will become fluent in conducting each stage of the process so that they can solve practical problems using advanced analysis. These problems can be simple fluid flow (either liquid or gas), involve heat transfer, chemical reactions and/or multiple phases [i.e. a flow containing a mixture of gas, liquid and solid (normally solid particles)]. Problems which students will analyse will be drawn from cases such as: pipe flows (gaseous or liquid), airflows over vehicles (e.g. cars, trucks and aircraft), wind loading on structures, hydraulic flows (e.g. rivers and water treatment plants), heat exchangers and combustion (e.g. engines and furnaces). Students who wish to simulate combustion cases will have a stronger foundation if they have also completed MEC5105 Combustion; they will also have the opportunity to perform more detailed and accurate combustion simulations if they complete MEC5105 Combustion in the future.

Course learning outcomes

On successful completion of this course students should be able to:

  1. characterise the transport equations for fluid flow and how they can be solved;
  2. construct a model for the fluid flow problem that needs to be solved;
  3. evaluate different CFD programs and discretise the domain to produce a mesh which will enable an accurate solution for the chosen program;
  4. appraise the models for physical phenomena;
  5. appraise the numerical methods for the discretisation of the transport equations and generate accurate results;
  6. critically evaluate the results of simulations.

Topics

Description Weighting(%)
1. Introduction 10.00
2. Geometry 10.00
3. Meshing 10.00
4. Basic Fluid Flow Models 10.00
5. Post-processing 10.00
6. Solution Analysis and Optimisation 30.00
7. Advanced Physical Models 20.00

Text and materials required to be purchased or accessed

Verteeg, H.K & Malalasekera, W 2007, An Introduction to Computational Fluid Dynamics: The Finite Volume Method, 2nd edn, Pearson, Glasgow.
Students will also need to download and install the free software 鈥淎NSYS Student鈥 <>.

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Approach Type Description Group
Assessment
Weighting (%) Course learning outcomes
Assignments Written Report 1 No 20 1,2
Assignments Written Critique (written) No 10 1,2,3,4,5,6
Assignments Written Report 2 No 30 1,2,3,4,5,6
Assignments Design Model (theoretical) No 40 1,2,3,4,5,6
Date printed 9 February 2024