MAK455 Computer Aided ManufacturingInstitutional InformationDegree Programs Mechatronics EngineeringInformation For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mechatronics Engineering

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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: MAK455
Course Name: Computer Aided Manufacturing
Course Semester: Fall
Course Credits:
ECTS
6
Language of instruction:
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Area Ellective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Ar.Gör. İSMAİL SAĞDIÇ
Course Lecturer(s):
Course Assistants:

Course Purpose and Content

Course Objectives: Having knowledge about hardware and software for computer aided manufacturing (CAM-BDİ) and importance for manufacturing processes. Modeling by using CAM programs and choosing tool and operation parameters. Generating tool path algorithms and obtaining part programs for numerical controlled machine tools by using post processor. Having ability of using CAM programs.
Course Content: Hardware and software for Computer Aided Manufacturing (CAM) and their properties, computer aided techniques and CAM, numerical controlled machine tools, manufacturing systems and CAM, modeling with CAD/CAM programs, selection of process parameters and tooling, tool paths and tool paths generation algorithms, machining strategies, post processor and graphical simulation of machining.

Learning Outcomes

The students who have succeeded in this course;
1) To gain ability of choosing software and hardware for CAM.
2) Students shall gain ability of modeling by using CAM programs and choosing tool and operation parameters.
3) Students shall gain ability of using SolidCAM program and obtaining part programs for numerical controlled machine tools.
4) Create toolpaths for 2D and 3D machine parts and learn how to obtain CNC codes
5) Learn basic definitions of CNC programming and computer aided manufacturing

Course Flow Plan

Week Subject Related Preparation
1) Introduction to Computer Aided Manufacturing (CAM). Course Notes
2) Automation, Manufacturing Systems and CAM Course Notes
3) Computer Aided Techniques and CAM Course Notes
4) Numerical Controlled Machine Tools and CAM Course Notes
5) Hardware for CAM and Specifications Course Notes
6) Software for CAM and Specifications Course Notes
7) Modeling Techniques in CAM Course Notes
8) Midterm Exam
9) Tool Paths and Tool Path Generation Algorithms in CAM Course Notes
10) Machining strategies in CAM Course Notes
11) Choosing Tool and Operation Parameters in CAM Course Notes
12) Obtaining a Part Program for a Numerical Controlled Machine Tools Course Notes
13) Generating Tool Path Course Notes
14) Generating Tool Paths and Obtaining Part Program by Using a CAM Program Course Notes
15) Generating Tool Paths and Obtaining Part Program by Using a CAM Program Course Notes
16) Final Exams
17) Final Exams

Sources

Course Notes / Textbooks: Ders Notları
References: 1) İbrahim Zeki Şen, Halil Acar, Süleyman Gezer,
SolidWorks – SolidCam 2016, Deha Yayıncılık.
2) Ali Naci Bıçakcı, SOLIDWORKS & SOLIDCAM 2017, Kodlab.
3) Sevilay Turgut, Mustafa Turgut, SolidWorks 2014, Seçkin Yayıncılık.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4) Ability to devise, select, and use modern techniques and tools needed for analysing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating complex engineering problems or discipline specific research questions.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9) Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10) Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11) Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions

Learning Activity and Teaching Methods

Course
Homework

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 1 % 25
Midterms 1 % 25
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 14 3 42
Study Hours Out of Class 14 10 140
Midterms 1 2 2
Final 1 2 2
Total Workload 186