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The current and official versions of the course specifications are available on the web at http://www.usq.edu.au/course/specification/current.
Please consult the web for updates that may occur during the year.

MEC5100 Computational Fluid Dynamics

Semester 1, 2019 Online
Short Description: Computational Fluid Dynamics
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Mechanical and Electrical Engineering
Student contribution band : Band 2
ASCED code : 039999 - EnginTech not classified
Grading basis : Graded

Staffing

Examiner: Andrew Wandel

Requisites

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

Other requisites

Recommended pre-requisite or co-requisite: (MEC4103 or MEC4108 or ENV3105 or ENV4107) and (ENG3104 or ENG4104)

Rationale

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.

Synopsis

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).

Objectives

On successful complettion 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

ALL textbooks and materials available to be purchased can be sourced from USQ's Online Bookshop (unless otherwise stated). (https://omnia.usq.edu.au/textbooks/?year=2019&sem=01&subject1=MEC5100)

Please contact us for alternative purchase options from USQ Bookshop. (https://omnia.usq.edu.au/info/contact/)

Chung, TJ 2010, Computational Fluid Dynamics, 2nd edn, Cambridge University Press, USA.
Students will also need to download and install the free software “ANSYS Student” <http://www.ansys.com/student>.

Reference materials

Reference materials are materials that, if accessed by students, may improve their knowledge and understanding of the material in the course and enrich their learning experience.
Anderson, JD 1995, Computational Fluid Dynamics: the basics with applications, McGraw-Hill, NY.
Tu, J, Yeoh, G & Liu, C 2013, Computational Fluid Dynamics: A Practical Approach, 2nd edn, Elsevier, UK.
Versteeg, HK & Malalasekera, W 2007, An Introduction to Computational Fluid Dynamics: The Finite Volume Method, 2nd edn, Pearson, Glasgow.
Any other text with the title “Computational Fluid Dynamics”.

Student workload expectations

Activity Hours
Assessments 50.00
Directed Study 52.00
Private Study 53.00

Assessment details

Description Marks out of Wtg (%) Due Date Objectives Assessed Notes
Assignment 1 200 20 25 Mar 2019 1,2,3
Assignment 2 400 40 07 May 2019 1,2,3,4,6
Assignment 3 400 40 10 Jun 2019 1,2,3,4,5,6

Important assessment information

  1. Attendance requirements:
    There are no attendance requirements for this course. However, it is the students’ responsibility to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration.

  2. Requirements for students to complete each assessment item satisfactorily:
    To satisfactorily complete an individual assessment item a student must achieve at least 50% of the marks for that item.

  3. Penalties for late submission of required work:
    Students should refer to the Assessment Procedure http://policy.usq.edu.au/documents.php?id=14749PL (point 4.2.4)

  4. Requirements for student to be awarded a passing grade in the course:
    To be assured of receiving a passing grade a student must achieve at least 50% of the total weighted marks available for the course.

  5. Method used to combine assessment results to attain final grade:
    The final grades for students will be assigned on the basis of the aggregate of the weighted marks obtained for each of the summative items for the course..

  6. Examination information:
    Students should read the USQ policies: Definitions, Assessment and Student Academic Misconduct to avoid actions which might contravene University policies and practices. These policies can be found at http://policy.usq.edu.au.

  7. Examination period when Deferred/Supplementary examinations will be held:
    Not applicable.

  8. University Student Policies:
    Students should read the USQ policies: Definitions, Assessment and Student Academic Misconduct to avoid actions which might contravene University policies and practices. These policies can be found at http://policy.usq.edu.au.

Assessment notes

  1. Students must familiarise themselves with the USQ Assessment Procedures (http://policy.usq.edu.au/documents.php?id=14749PL).

  2. Referencing in Assignments must comply with the Harvard (AGPS) referencing system. This system should be used by students to format details of the information sources they have cited in their work. The Harvard (APGS) style to be used is defined by the USQ library’s referencing guide. These policies can be found at http://www.usq.edu.au/library/referencing

Evaluation and benchmarking

In meeting the University’s aims to establish quality learning and teaching for all programs, this course monitors and ensures quality assurance and improvements in at least two ways. This course:
1. conforms to the USQ Policy on Evaluation of Teaching, Courses and Programs to ensure ongoing monitoring and systematic improvement.
2. forms part of the Bachelor of Engineering (Honours) and is benchmarked against the
o internal USQ accreditation/reaccreditation processes which include (i) stringent standards in the independent accreditation of its academic programs, (ii) close integration between business and academic planning, and (iii) regular and rigorous review.
o professional accreditation standards of Engineers Australia

Other requirements

  1. Computer, e-mail and Internet access:
    Students are required to have access to a personal computer, e-mail capabilities and Internet access to UConnect. Current details of computer requirements can be found at http://www.usq.edu.au/current-students/support/computing/hardware .

  2. Students can expect that questions in assessment items in this course may draw upon knowledge and skills that they can reasonably be expected to have acquired before enrolling in this course. This includes knowledge contained in pre-requisite courses and appropriate communication, information literacy, analytical, critical thinking, problem solving or numeracy skills. Students who do not possess such knowledge and skills should not expect the same grades as those students who do possess them.