MECH ENG 7045 - CFD for Engineering Applications
North Terrace Campus - Semester 1 - 2024
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General Course Information
Course Details
Course Code MECH ENG 7045 Course CFD for Engineering Applications Coordinating Unit 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) Assessment Online Quizzes, Assignment, CFD Project, Final exam Course Staff
Course Coordinator: Dr Zhao Tian
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course, students will be able to
1 Understand and be able to numerically solve the governing equations for fluid flows. 2 Understand and apply finite difference and finite volume methods to fluid flow problems. 3 Understand different mesh types, mesh quality and mesh sizes. 4 Understand how to conduct a grid-convergence assessment. 5 Understand and apply turbulence models to engineering fluid flow problems. 6 Understand the issues about two-phase flow modelling and be able to numerically solve heat transfer problems. 7 Use CFD software such as ANSYS/CFX to an acceptable standard for a graduate engineer.
The above course learning outcomes are aligned with the Engineers Australia . The course develops the following EA Elements of Competency to levels of introductory (A), intermediate (B), advanced (C):
1.1 1.2 1.3 1.4 1.5 1.6 2.1 2.2 2.3 2.4 3.1 3.2 3.3 3.4 3.5 3.6 C C C C C A C C C C C C C C C C 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) Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
1-7 Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
2-7 Attribute 3: Teamwork and communication skills
Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.
7 Attribute 4: Professionalism and leadership readiness
Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.
2-7 Attribute 8: Self-awareness and emotional intelligence
Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.
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Learning Resources
Required Resources
Tu, J., Yeo, G.H. and Liu C. (2013), Computational Fluid Dynamics: A Practical Approach, second edition Butterworth-Heinemann (an imprint for Elsevier).
Tu, J., Yeo, G.H. and Liu C. (2019), Computational Fluid Dynamics: A Practical Approach, third edition Butterworth-Heinemann (an imprint for Elsevier)
The first edition is ok but the second and third editions are preferred.Recommended Resources
Ferziger, J.H and Peric, M. (1997) Computational Methods for Fluid Dynamics, Springer-Verlag, Berlin.
Online Learning
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.
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Learning & Teaching Activities
Learning & Teaching Modes
Lectures supported by tutorials and workshops in the CATSuite.Workload
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 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 -
Assessment
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 Summary
* The specific due date for each assessment task will be available on MyUni.Assessment Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Hurdle criteria Learning outcomes Written assignment (one written assignment) 5 Individual Summative week 8 or 9 1,2,3,4 Online quizzes 10 Individual Formative/Summative Weeks 1-12 1-7 CFD project (group project) 20 Group Summative week 11 or 12 1-7 Final Exam 65 Individual Summative Exam week 1-7 Total 100
This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.
Assessment Related Requirements
Students must achieve a mark greater than 49% to pass.Assessment Detail
There are a total of seven online quizzes in this course, and each quiz consists of about 7-10 multiple-choice questions. Students are required to independently complete these quizzes. The questions in each quiz are based on the week's lecture content, which aims to enhance students' comprehension of the course material. The answers to the questions are provided to students after they have completed the online quizzes. Some questions are discussed in the lectures.
The written assignment focuses on numerical methods and quality checks for CFD results. It includes short answer questions covering topics such as the derivation of high-order schemes, derivation of governing equations, mesh independence testing, etc. Some questions and their solutions are discussed in the lectures, providing students with further guidance.
The CFD project aims to provide students with an opportunity to demonstrate their understanding of the fundamentals and use of CFD software and introduce them to numerous applications within the software. Students are allowed to freely determine any topic of interest for the project. The CFD project is a group project so that students can also develop their teamwork skills.
The final exam is an open-book exam that is to assess the student’s knowledge and understanding of the whole CFD course.Submission
Submit assignment solutions, online quizzes answers and CFD report online.Course Grading
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 .
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Student Feedback
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.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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Student Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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Fraud Awareness
Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.
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