İzmir Ekonomi Üniversitesi
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  • FACULTY OF ENGINEERING

    Department of Mechanical Engineering

    ME 463 | Course Introduction and Application Information

    Course Name
    Computational Methods for Fluid Dynamics
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    ME 463
    Fall/Spring
    2
    2
    3
    5

    Prerequisites
    None
    Course Language
    English
    Course Type
    Elective
    Course Level
    First Cycle
    Mode of Delivery -
    Teaching Methods and Techniques of the Course -
    National Occupation Classification -
    Course Coordinator
    Course Lecturer(s)
    Assistant(s) -
    Course Objectives This course is designed to introduce the fundamental concepts, techniques, methods, and algorithms used in computational fluid dynamics. Students will learn to develop and implement numerical methods (finite difference, finite volume, finite element methods) and related algorithms for numerical solution of flow and transport partial differential equations (PDE) models.
    Learning Outcomes
    #
    Content
    PC Sub
    * Contribution Level
    1
    2
    3
    4
    5
    1use the fundamental concepts of fluid flow
    2explain the differences between finite difference, finite volume and finite element methods
    3model Navier – Stokes equations numerically
    4gain the ability to use Computational Fluid Dynamics (CFD) commercial software
    5develop skills required for reporting and presenting the results
    Course Description Basic Concepts of Fluid Flow, A Review of Numerical Methods, Finite Difference Method, Finite Volume Method, The Finite Volume Method for Diffusion Problems, The Finite Volume Method for Convection-Diffusion Problems, Pressure – Velocity Coupling in Steady Flows, Finite Volume Method for Unsteady Flows, Boundary Conditions, Errors and Uncertainty in CFD, Finite Element Method

     



    Course Category

    Core Courses
    Major Area Courses
    X
    Supportive Courses
    Media and Management Skills Courses
    Transferable Skill Courses

     

    WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

    Week Subjects Related Preparation Learning Outcome
    1 Basic Concepts of Fluid Flow and Computational Fluid Dynamics Chapter 1, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson.
    2 Conservation Laws of Fluid Motion Chapter 2, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson.
    3 Finite Difference Method Chapter 3, Ferziger J. H., Peric M., Street R. L. (2020). Computational Methods for Fluid Dynamics, 4th Ed., Springer..
    4 Numerical Methods for Linear and Non-Linear Set of Equations Chapter 7, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson.
    5 Finite Volume Method Chapter 4, Ferziger J. H., Peric M., Street R. L. (2020). Computational Methods for Fluid Dynamics, 4th Ed., Springer.
    6 The Finite Volume Method for Diffusion Problems Chapter 4, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson.
    7 The Finite Volume Method for Convection-Diffusion Problems Chapter 5, Ferziger J. H., Peric M., Street R. L. (2020). Computational Methods for Fluid Dynamics, 4th Ed., Springer.
    8 Midterm Exam
    9 Pressure – Velocity Coupling in Steady Flows Chapter 6, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson.
    10 Finite Volume Method for Unsteady Flows Chapter 8, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson.
    11 Boundary Conditions Chapter 9, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson.
    12 Modelling of Turbulent Flows Chapter 3, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson.
    13 Modelling of Combustion Chapter 12, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson
    14 Errors and Uncertainty in CFD, Grid Generation and Handling Complex Geometries in CFD Chapter 10-11, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson
    15 Review
    16 Final Exam

     

    Course Notes/Textbooks
    1. Ferziger J. H., Peric M., Street R. L. (2020). Computational Methods for Fluid Dynamics, 4th Ed., Springer, ISBN 978-3-319-99691-2
    2. Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson, ISBN: 978-0-13-127498-3
    3. Reddy J. N., Gartling D. K. (2010), The Finite Element Method in Heat Transfer and Fluid Dynamics, 3rd Ed., CRC Press, ISBN-13: 13: 978-1-4200-8599-0  
    Suggested Readings/Materials

     

    EVALUATION SYSTEM

    Semester Activities Number Weigthing LO 1 LO 2 LO 3 LO 4 LO 5
    Participation
    Laboratory / Application
    Field Work
    Quizzes / Studio Critiques
    Portfolio
    Homework / Assignments
    1
    10
    Presentation / Jury
    Project
    1
    40
    Seminar / Workshop
    Oral Exams
    Midterm
    1
    20
    Final Exam
    1
    30
    Total

    Weighting of Semester Activities on the Final Grade
    3
    70
    Weighting of End-of-Semester Activities on the Final Grade
    1
    30
    Total

    ECTS / WORKLOAD TABLE

    Semester Activities Number Duration (Hours) Workload
    Theoretical Course Hours
    (Including exam week: 16 x total hours)
    16
    2
    32
    Laboratory / Application Hours
    (Including exam week: '.16.' x total hours)
    16
    2
    32
    Study Hours Out of Class
    14
    2
    28
    Field Work
    0
    Quizzes / Studio Critiques
    0
    Portfolio
    0
    Homework / Assignments
    2
    4
    8
    Presentation / Jury
    0
    Project
    1
    13
    13
    Seminar / Workshop
    0
    Oral Exam
    0
    Midterms
    1
    15
    15
    Final Exam
    1
    22
    22
        Total
    150

     

    COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

    #
    PC Sub Program Competencies/Outcomes
    * Contribution Level
    1
    2
    3
    4
    5
    1

    To have adequate knowledge in Mathematics, Mathematics based physics, statistics and linear algebra and Mechanical Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

    -
    -
    -
    -
    X
    2

    To be able to identify, define, formulate, and solve complex Mechanical Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

    -
    -
    -
    -
    X
    3

    To be able to design a thermal and mechanical system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

    -
    -
    -
    -
    -
    4

    To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in engineering applications.

    -
    -
    -
    X
    -
    5

    To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Mechanical Engineering research topics.

    -
    -
    -
    -
    -
    6

    To be able to work efficiently in Mechanical Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

    -
    X
    -
    -
    -
    7

    To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

    -
    -
    X
    -
    -
    8

    To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of engineering solutions.

    -
    -
    -
    -
    -
    9

    To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

    -
    -
    -
    -
    -
    10

    To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

    -
    -
    -
    -
    -
    11

    To be able to collect data in the area of Mechanical Engineering, and to be able to communicate with colleagues in a foreign language.

    -
    -
    -
    -
    -
    12

    To be able to speak a second foreign language at a medium level of fluency efficiently.

    -
    -
    -
    -
    -
    13

    To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechanical Engineering.

    -
    -
    -
    -
    -

    *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

     


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