MECH ENG 4111 - CFD for Engineering Applications

North Terrace Campus - Semester 1 - 2020

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.

  • General Course Information
    Course Details
    Course Code MECH ENG 4111
    Course CFD for Engineering Applications
    Coordinating Unit School of Mechanical Engineering
    Term Semester 1
    Level Undergraduate
    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
    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 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

    At the end of this course, the student will be able to:

    1 Understand and be able to numerically solve the governing equations for fluid flow
    2 Understand and apply finite difference and finite volume methods to fluid flow problems
    3 Understand different mesh types and mesh quality
    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 a heat transfer problem
    7 Be able to use 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
    9
  • 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).

    The first edition is ok but the second edition is 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.

    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 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  TBA
    3 Mesh generation and boundary conditions TBA
    4 Navier-Stokes equations and discretisation TBA
    5 Numercial methods and pressure-velocity scheme 1 TBA
    6 Numercial methods and pressure-velocity scheme  2 TBA
    7 CFD assignment questions TBA
    8 CFD solution analysis and validation/verification TBA
    9 Turbulence modelling TBA
    10 Heat transfer and two phase flow modelling TBA
    11 Invited seminar (guest lecture) TBA
    12 Revision TBA
    Specific Course Requirements

    NONE

  • 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

    In order be successful in this course, the students will participate in these assessment exercises:

    Assessment Task Weighting % Individual/Group Due date Learning objectives

    Assignment 5 Individual Week 8 1. 2. 6. 9.
    Online Quizzes 10 Individual Weeks 2, 3, 4, 6, 7, 9, 12 1. 2. 3. 5. 7.
    Project 20 Group Week 12 4. 5. 9. 
    Exam 65 Individual Exam period 1. 2. 3. 4. 6. 7. 8.
    Due to the current COVID-19 situation modified arrangements have been made to assessments to facilitate remote learning and teaching. Assessment details provided here reflect recent updates.

    10% online quizzes (7 sets of online quizzes).
    10% written assignment (one written assignment).
    25% CFD project (group project).
    10% take-home exam.
    45% online exam.
    Details of both the take-home exam and online exam will be provided later in the semester.
    Assessment Related Requirements

    Students must achieve a mark greater than 49% to pass.

    Assessment Detail

    No information currently available.

    Submission

    Submit all assignments to the submission boxes on the 2nd floor of the Engineering South Building.

    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 (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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  • Policies & Guidelines
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