İzmir Ekonomi Üniversitesi
  • TÜRKÇE

  • FACULTY OF ENGINEERING

    Department of Mechanical Engineering

    AE 419 | Course Introduction and Application Information

    Course Name
    Introduction to CFD
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    AE 419
    FALL
    3
    0
    3
    5

    Prerequisites None
    Course Language English
    Course Type ELECTIVE_COURSE
    Course Level First Cycle
    Mode of Delivery Face-To-Face
    Teaching Methods and Techniques of the Course -
    National Occupational Classification Code -
    Course Coordinator
    • Dr. Öğr. Üyesi İzzet Murat Akşit
    Course Lecturer(s)
    • Dr. Öğr. Üyesi İzzet Murat Akşit
    Assistant(s)
    • Araş. Gör. Hasan Totoş
    Course Objectives The aim of this course is to provide students with basic knowledge of computational fluid dynamics, providing common methods that will be fundamental at the analysis level.
    Learning Outcomes The students who succeeded in this course;
    Name Description PC Sub * Contribution Level
    1 2 3 4 5
    LO1 Explain the whole aspects of CFD 1.4 X
    LO2 Define fundamental equations of fluid mechanics 1.4 X
    LO3 Describe numerical methods especially finite volume method 1.5 X
    LO4 Explain solution algorithms related to CFD 1.5 X
    LO5 Discuss definition of turbulence 1.5 X
    Course Description The introductory course to Computational Fluid Dynamics is an essential tool for modeling fluid motion. This course provides basic information about fluid mechanics, heat transfer, and numerical methods.
    Related Sustainable Development Goals
    -

     



    Course Category

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

     

    WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

    Week Subjects Required Materials Learning Outcome
    1 Fundamental equations of fluid mechanics and heat transfer H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt.1 and Chapt. 2 LO1
    2 Fundamental equations of fluid mechanics and heat transfer H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt. 2 LO2
    3 Fundamental equations of fluid mechanics and heat transfer H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt. 2 LO2
    4 Classification of simple PDEs. Classification of PDEs used in flow equations. H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt. 2 LO2
    5 Classification of simple PDEs. Classification of PDEs used in flow equations. H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt. 2 LO2
    6 Classification of simple PDEs. Classification of PDEs used in flow equations. H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt. 2 LO2
    7 Diffusion problem in time-independent flows. H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt. 4 LO3
    8 Midterm -
    9 Diffusion problem in time-independent flows. H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt. 4 LO3
    10 Solution of convection-diffusion problem in time-independent flows by finite volume method. H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt. 5 LO4
    11 Solution of convection-diffusion problem in time-independent flows by finite volume method. H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt. 5 LO4
    12 Solution of convection-diffusion problem in time-independent flows by finite volume method. H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt. 5 LO4
    13 Turbulent flow calculations, Reynolds-averaged Navier-Stokes equations and classical turbulence models H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt. 3 LO5
    14 Turbulent flow calculations, Reynolds-averaged Navier-Stokes equations and classical turbulence models H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 (ISBN: 978-0-13-127498-3) Chapt. 3 LO5
    15 Review of the semester -
    16 Final -

     

    Course Notes/Textbooks H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition published by Pearson Education Limited 2007 (ISBN: 978-0-13-127498-3)
    Suggested Readings/Materials J.F. WENDT (ED.) Computational Fluid Dynamics An Introduction Third Edition Springer 2009.ISBN: 978-3-540-85055-7

     

    EVALUATION SYSTEM

    Semester Activities Number Weighting LO1 LO2 LO3 LO4 LO5
    Homework / Assignments 5 25 X X X X X
    Midterm 1 25 X X X
    Final Exam 1 50 X X X X
    Total 7 100

     

    ECTS / WORKLOAD TABLE

    Semester Activities Number Duration (Hours) Workload
    Participation - - -
    Theoretical Course Hours 16 3 48
    Laboratory / Application Hours - - -
    Study Hours Out of Class 14 5 70
    Field Work - - -
    Quizzes / Studio Critiques - - -
    Portfolio - - -
    Homework / Assignments 5 3 15
    Presentation / Jury - - -
    Project - - -
    Seminar / Workshop - - -
    Oral Exams - - -
    Midterms 1 7 7
    Final Exam 1 10 10
        Total 150

     

    COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

    Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.

    1

    Mathematics

    2

    Science

    3

    Basic Engineering

    4

    Computation

    LO1 LO2
    5

    Related engineering discipline-specific topics

    LO5 LO3 LO4
    6

    The ability to apply this knowledge to solve complex engineering problems

    2

    Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.

    3

    Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.

    1

    Ability to design creative solutions to complex engineering problems

    2

    Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions

    4

    Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.

    5

    Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.

    1

    Literature research for the study of complex engineering problems

    2

    Designing experiments

    3

    Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results

    6

    Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.

    1

    Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals

    2

    Awareness of the legal implications of engineering solutions

    7

    Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.

    1

    Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility

    2

    Awareness of being impartial and inclusive of diversity, without discriminating on any subject

    8

    Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).

    1

    Ability to work individually and within the discipline

    2

    Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)

    9

    Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.

    1

    Ability to communicate verbally

    2

    Ability to communicate effectively in writing

    10

    Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.

    1

    Knowledge of business practices such as project management and economic feasibility analysis

    2

    Awareness of entrepreneurship and innovation

    11

    Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.

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


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