İzmir Ekonomi Üniversitesi
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  • FACULTY OF ENGINEERING

    Department of Mechanical Engineering

    ME 423 | Course Introduction and Application Information

    Course Name
    Finite Element Method
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    ME 423
    FALL
    2
    2
    3
    6

    Prerequisites ME 208 To succeed (To get a grade of at least DD)
    Course Language Englşsh
    Course Type ELECTIVE_COURSE
    Course Level First Cycle
    Mode of Delivery Face to face
    Teaching Methods and Techniques of the Course Lecturing
    Laboratory
    National Occupational Classification Code -
    Course Coordinator
    • Prof. Dr. Hira Karagülle
    Course Lecturer(s)
    • Prof. Dr. Hira Karagülle
    Assistant(s) -
    Course Objectives This course is designed to introduce the fundamentals of the finite element method. The derivation of mathematical models of basic structures is introduced. Computer solutions of mathematical models are given. Modal, static, frequency response, and transient analyses are considered. Commercial finite element programs are used for real engineering structures.
    Learning Outcomes The students who succeeded in this course;
    Name Description PC Sub * Contribution Level
    1 2 3 4 5
    LO1 Define general steps of finite element methods 1.3 X
    LO2 Explain basic finite element formulation techniques 2 X
    LO3 Derive finite element formulation for basic structures 3.2 X
    LO4 Analyse basic problems in solid mechanics 3.2 X
    LO5 Employ computer program based on finite element methods 4 X
    Course Description Finite element matrices in local coordinates, transformation matrices, finite element matrices in global coordinates, derivation of mathematical model by assembling finite elements; single-body and multi-body systems; analyzing real engineering systems by commercial finite element programs; modal, static, frequency response, and transient analyses.
    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 Introduction to Finite Element Methods Course book: Chapter 1 LO1
    2 Finite element matrices in local coordinates Course book: Chapter 4 LO1
    3 Finite element matrices in global coordinates Course book: Chapter 4 LO2
    4 Assembling finite elements, developing mathematical model, static solution for single body structures Course book: Chapter 4 LO2
    5 Analysis basic structures Course book: Chapter 4 LO3
    6 Analysis of basic structures Course book: Chapter 4 LO3
    7 Multi-body mechanical systems ANSYS Multi-Body Analysis Guide LO4
    8 Midterm exam-1 Course material LO3
    9 Multi-body mechanical systems ANSYS Multi-Body Analysis Guide LO4
    10 Modal analysis Course book: Chapter 11 LO4
    11 Modal analysis Course book: Chapter 11 LO4
    12 Analysis of real engineering systems Solidworks/ ANSYS material LO4
    13 Analysis of real engineering systems Solidworks/ ANSYS material LO5
    14 Frequency response Solidworks/ ANSYS material LO5
    15 Frequency response Solidworks/ ANSYS material LO5
    16 Final exam Course material LO5

     

    Course Notes/Textbooks Moaveni S. (1999). Finite element analysis theory and application with ANSYS. Pearson Education.
    Suggested Readings/Materials http://help.solidworks.com/2021/English/SolidWorks/cw
    R.G.Budynas and J.K.Nisbett Shigley’s Mechanical Eng McGraw Hill 2011.
    H. Karagülle L. Malgaca M. Dirilmiş M. Akdağ and Ş. link exible manipulator
    Journal of Vibration and Cont
    ANSYS Multibody Analysis Guide

     

    EVALUATION SYSTEM

    Semester Activities Number Weighting LO1 LO2 LO3 LO4 LO5
    Quizzes / Studio Critiques 2 20 X X X X
    Midterm 1 35 X X
    Final Exam 1 45 X X X X
    Total 4 100

     

    ECTS / WORKLOAD TABLE

    Semester Activities Number Duration (Hours) Workload
    Participation - - -
    Theoretical Course Hours 16 2 32
    Laboratory / Application Hours 16 2 32
    Study Hours Out of Class 14 3 42
    Field Work - - -
    Quizzes / Studio Critiques 2 10 20
    Portfolio - - -
    Homework / Assignments - - -
    Presentation / Jury - - -
    Project - - -
    Seminar / Workshop - - -
    Oral Exams - - -
    Midterms 1 24 24
    Final Exam 1 30 30
        Total 180

     

    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

    LO1
    4

    Computation

    5

    related engineering discipline-specific topics

    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.

    LO2
    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.

    LO3 LO4
    4

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

    LO5
    5

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

    1

    Literature research far 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 lmpact of Engineering Practices: Knowledge of the impacts of engineering practices on s.ociety, health and safety. ttıe economy, sustainability and the environment \ıVlthin the context of the UN Sustainable Development GoaJs; awareness of the legal implications of engineering solutions.

    1

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

    2

    Awareness of the legal implications of engineering solutions

    7

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

    1

    Acting in accordance with engineering professional principles. information about ethical responsibility

    2

    Awareness of being impartial and indusive of diversity, without disaiminating on any subject.

    8

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

    1

    lndividually and within the discipline

    2

    Ability to work effectivefy as a team member or leader in mutti-disciplinary 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

    Verbal

    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 tedınological changes

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


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