MECH ENG 4111 - CFD for Engineering Applications

North Terrace Campus - Semester 1 - 2015

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 3102, MECH ENG 3101
    Assessment Online Quizzes, Assignments, 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

    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, finite volume and finite element methods to fluid flow problems
    3 Understand how grids are generated
    4 Understand how to assess stability and conduct a grid-convergence assessment
    5 Understand and apply turbulence models to engineering fluid flow problems
    6 Understand and apply compressible flow solvers
    7 Understand the issues surrounding two-phase flow modelling
    8 Be able to numerically solve a heat transfer problem
    9 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)
    Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. 1-9
    The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. 1-9
    An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. 2,5,9
    A proficiency in the appropriate use of contemporary technologies. 9
    A commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life. 1-9
    A commitment to the highest standards of professional endeavour and the ability to take a leadership role in the community. 9
  • Learning Resources
    Required Resources

    Tu, J., Yeo, G.H. and Liu C. (2008), Computational Fluid Dynamics: A Practical Approach, Butterworth-Heinemann (an imprint for Elsevier).

    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 Representing Physical Phenomena using Numerical Methods TBA
    3 Governing Equations for CFD TBA
    4 Discretisation and Numerical Methods I TBA
    5 Discretisation and Numerical Methods II TBA
    6 Convergence/Errors/Residuals/Verification/Validation TBA
    7 Practical Skills for Effective CFD Modelling TBA
    8 Practical Skills for Effective CFD Modelling TBA
    9 Compressible Flow Modelling TBA
    10 Two-Phase Flow Modelling TBA
    11 Combustion Modelling 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:

    1. Assignment : Individual Assignment [5%]
    2. Online quizzes: Individual Assignment [5%]
    3. Project: Group Project [20%]
    4. Exam: Written [70%]
    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.

  • Student Support
  • Policies & Guidelines
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