İzmir Ekonomi Üniversitesi
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  • FACULTY OF ENGINEERING

    Department of Mechanical Engineering

    ME 410 | Course Introduction and Application Information

    Course Name
    Computer Aided Design and Manufacturing
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    ME 410
    FALL
    3
    1
    3
    5

    Prerequisites ME 204 To get a grade of at least FD
    Course Language English
    Course Type ELECTIVE_COURSE
    Course Level First Cycle
    Mode of Delivery Face to face
    Teaching Methods and Techniques of the Course Lecture
    National Occupational Classification Code -
    Course Coordinator
    • Prof. Dr. Hakkı Eskicioğlu
    Course Lecturer(s)
    • Prof. Dr. Hakkı Eskicioğlu
    Assistant(s) -
    Course Objectives The aim of this course is to give the basic concepts related to design and manufacturing automation, to introduce the use of computers in design and manufacturing, to teach basics of CAD systems and graphical modelling, to teach basics principles of NC part programming, to develop an understanding of process planning in CAD/CAM systems, to teach other technologies such as robots and rapid prototyping, automated inspection.açıklamaktır.
    Learning Outcomes The students who succeeded in this course;
    Name Description PC Sub * Contribution Level
    1 2 3 4 5
    LO1 Perform CAD systems and graphical modeling. 4 X
    LO2 Program Computer Numerical Control (CNC) machines. 4 X
    LO3 Plan manufacturing processes. 4 X
    LO4 Explain the fundamentals of robot applications, automated material handling, and inspection. 4 X
    Course Description This course covers CAD/CAM, NC machines and part programming, process planning, industrial robots, rapid prototyping and automatic inspection
    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: Automation in production systems; Manual labor in production systems; Automation principles and strategies Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO1
    2 Review of Mathematics Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO1
    3 Computer Aided Design (CAD): Computer Aided Graphical Modelling Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO1
    4 Computer Aided Design (CAD): Computer Aided Graphical Modelling Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO1
    5 Computer Aided Design (CAD): Computer Aided Graphical Modelling; CAD data base Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO1
    6 Computer Aided Manufacturing (CAM): Numerical Control, Motion Control Systems Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO2
    7 Computer Aided Manufacturing (CAM): Motion Control Systems, Interpolation Methods Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO2
    8 Midterm Exam -
    9 Computer Aided Manufacturing (CAM): Lathe and Milling Programming Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO3
    10 Computer Aided Process Planning (CAPP): Generation of Process Plans Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO3
    11 Computer Aided Process Planning (CAPP): Generation of Process Plans Bölüm 8 Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO4
    12 Industrial Robots: Classification of Robots, Robot Control Systems, Industrial Applications Bölüm 10, 11 ve 13 Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO4
    13 Automatic Materials Handling Bölüm 20, Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO4
    14 Automated Inspection: Offline/Online inspection, Contact/Non-contact inspection, CMM Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO4
    15 Rapid Prototyping: Definition and Use of Rapid Prototyping, Specific Rapid Prototyping Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Prentice Hall Inc LO4
    16 Final Exam -

     

    Course Notes/Textbooks Automation Production Systems and Computer-Integrated Manufacturing Mikell P. Groover 5. Baskı Pearson ISBN 978-0133499612
    Suggested Readings/Materials Nanua Singh "Systems Approach to Computer-Integrated Design and Manufacturing" John Wiley & Sons Inc. ISBN: 978-0-471-58517-6
    Hakkı Eskicioğlu “Sayısal Kontrol ve Takım Tezgahları” Makina Mühendisleri Odası Yayınları MMO/544 ISBN: 978-605-01-0015-0

     

    EVALUATION SYSTEM

    Semester Activities Number Weighting LO1 LO2 LO3 LO4
    Homework / Assignments 1 10 X
    Project 1 20 X X
    Midterm 1 30 X X X X
    Final Exam 1 40 X X X X
    Total 4 100

     

    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 3 42
    Field Work - - -
    Quizzes / Studio Critiques - - -
    Portfolio - - -
    Homework / Assignments 2 5 10
    Presentation / Jury - - -
    Project 1 20 20
    Seminar / Workshop - - -
    Oral Exams - - -
    Midterms 1 10 10
    Final Exam 1 20 20
        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

    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.

    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 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.

    LO4 LO1 LO3 LO2
    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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