MECH ENG 7045 - CFD for Engineering Applications
North Terrace Campus - Semester 1 - 2018
General Course Information
Course Code MECH ENG 7045 Course CFD for Engineering Applications Coordinating Unit School of Mechanical Engineering Term Semester 1 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange Y Assumed Knowledge MECH ENG 2021, MECH ENG 3102, MECH ENG 3101 (or equivalent courses) Course Description The course will equip the students with the necessary knowledge to use computational techniques to solve problems related to flow mechanics. In particular, students will have hands on experience in using computational fluid dynamics to solve engineering problems. Governing equations, discretisation schemes, numerical methods, turbulence modelling, mesh quality and independence test, numerical errors, and boundary conditions will be introduced in the course.
Course Coordinator: Dr Zhao Tian
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning Outcomes
At the end of this course, the student will be able to:
1 Solve the governing equations for fluid flow 2 Use finite difference and finite volume methods to fluid flow problems 3 Explain how grids are generated; 4 Explain how to assess stability and conduct a grid-convergence assessment; 5 Apply turbulence models to engineering fluid flow problems; 6 Apply compressible flow solvers; 7 Explain the issues surrounding two-phase flow modelling; 8 Solve numerically a heat transfer problem; and 9 Ese ANSYS CFX to an acceptable standard for a graduate engineer.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
1-9 Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
2-9 Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
9 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
2-9 Self-awareness and emotional intelligence
- a capacity for self-reflection and a willingness to engage in self-appraisal
- open to objective and constructive feedback from supervisors and peers
- able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
Tu, J., Yeo, G.H. and Liu C. (2008), Computational Fluid Dynamics: A Practical Approach, Butterworth-Heinemann (an imprint for Elsevier).
Ferziger, J.H and Peric, M. (1997) Computational Methods for Fluid Dynamics, Springer-Verlag, Berlin.
This course will make heavy use of the resources placed on myUni by the Instructors. Please make sure you check the course myUni page at least weekly.
Learning & Teaching Activities
Learning & Teaching ModesLectures supported by tutorials and workshops in the CATSuite.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
In addition to the lectures and tutorials, you are expected to spend approximately 8-10 hours a week studying for this course.
Learning Activities Summary
Week Session 1 (2hrs) Session 2 (2 hrs) 1 Introduction to CFD TBA 2 Formulation of Flow Problems Flow field variables and classification of flows TBA 3 Mesh generation and boundary conditions 1 TBA 4 Boundary Conditions 2 and Navier-Stokes equations 1 TBA 5 Navier-Stokes Equation 2 and Finite Difference method 1 (Blend learning) TBA 6 Higher order schemes TBA 7 Finite Volume and TDMA (Blend learning) TBA 8 CFD solution analysis and validation/verification TBA 9 Turbulence modelling (Blend learning) TBA 10 Heat transfer and two phase flow modelling TBA 11 Invited seminar (guest lecture) TBA 12 Revision TBA
Specific Course RequirementsNONE
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Hurdle criteria Learning outcomes Assignments 5 Individual Summative Weeks 2-12 Online quizzes 5 Individual Summative Week 5 Min 40% Project 20 Group Exam 70 Individual Exam week Total 100
This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.
Assessment Related RequirementsStudents must achieve a mark greater than 49% to pass.
No information currently available.
SubmissionSubmit all assignments to the submission boxes on the 2nd floor of the Engineering South Building.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
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