MECH ENG 7045 - CFD for Engineering Applications

North Terrace Campus - Semester 1 - 2024

The course `CFD for Engineering Applications? equips students with the necessary skills, knowledge and hands-on experience to effectively use computational fluid dynamics (CFD) techniques to solve engineering problems related to flow dynamics, heat transfer and multiphase flows. The curriculum encompasses various topics such as governing equations, discretisation schemes, numerical methods, turbulence modelling, mesh quality and independence test, numerical errors, and boundary conditions. `CFD for Engineering Applications? is an elective course for the Master of Engineering (Mechanical) program. The course offers online lectures for flexible access and 11-12 face-to-face practical sessions held in computer suites at the North Terrace campus. Students actively engage in project-based learning and group work by using CFD software in practical exercises. Assessment activities comprise a group project, an individual assignment, online quizzes and a final exam, all designed to assess students? understanding of CFD fundamentals and proficiency in applying CFD in engineering applications. Upon successful completion of the course, students will possess a solid understanding of the fundamental CFD techniques and will be able to use CFD to solve basic engineering problems.

  • 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 Course Planner.

  • 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 Entry to Practice Competency Standard for the Professional Engineer. The course develops the following EA Elements of Competency to levels of introductory (A), intermediate (B), advanced (C):  

    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.


    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.


    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.


    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.


    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.

  • 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.

  • Learning & Teaching Activities
    Learning & Teaching Modes
    Lectures 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 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:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary

    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
    * The specific due date for each assessment task will be available on MyUni. 

    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.
    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 Access Adelaide.

  • 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 ( 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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  • Policies & Guidelines
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