IE 333 | Course Introduction and Application Information

Course Name
Manufacturing Automation
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 333
Fall/Spring
3
0
3
5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives - Understand and explain basic concepts related to automation of design and manufacturing - Give a broad view of hardware elements used in automation.
Course Description The students who succeeded in this course;
  • will be able to understand basic consepts of manufacturing systems
  • will be able to explain fundamental manufacturing processes pertinent to CIM consept,
  • will be able to understand automation hardware of CIM systems,
  • will be able to understand basic hardware of Numerical Control,
  • will be able to explain the use of PLC's,
  • will be able to understand non-manufacturing activities of CIM systems
Course Content Production systems and automation, Manufacturing systems – Classification of industries and basic concepts, Basic chip removal processes, Automation and its basic hardware, Numerical Control technology and types of NC concept, Principles of NC programming, Robot anatomy and applications, PLC’s.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Production Systems and Automation: Introduction; Automation in production systems; Manual labor in production systems; Automation principles and strategies Chapter 1; "Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Second Edition, Prentice Hall Inc.
2 Manufacturing Systems: Classification of industries; Manufacturing operations; Production facilities Chapter 2; "Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Second Edition, Prentice Hall Inc.
3 Material (Chip) Removal Processes: Chip removal theory; Turning; Hole processing operations; Milling Lecture notes
4 Material Removal (Chip) Processes: Surface operations; Non-traditional machining processes Lecture notes
5 Introduction to Automation: Basic elements of automated systems; Advanced automation functions; Levels of Automation Chapter 3; "Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Second Edition, Prentice Hall Inc
6 Hardware Components: Sensors and actuators; Analog-to-Digital conversion; Chapter 5; "Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Second Edition, Prentice Hall Inc.
7 Hardware Components: Digital-to-Analog conversion; I/O devices for discrete data Chapter 5; "Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Second Edition, Prentice Hall Inc.
8 Review and Midterm
9 Numerical Control: Fundamentals of NC technology; CNC and DNC; Chapter 6; "Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Second Edition, Prentice Hall Inc.
10 Numerical Control : Applications of numerical control and basic control principles Chapter 6; "Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Second Edition, Prentice Hall Inc.
11 Numerical Control:; Part programming Chapter 6; "Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Second Edition, Prentice Hall Inc.
12 Industrial Robots: Robot anatomy; Robot control systems Chapter 7; "Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Second Edition, Prentice Hall Inc.
13 Industrial Robots: Industrial robot applications; Robot accuracy and repeatability Chapter 7; "Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Second Edition, Prentice Hall Inc.
14 Programmable Logic Controllers: Discrete process control; Ladder Logic Diagram; PLC Chapter 8; "Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Second Edition, Prentice Hall Inc.
15 Review
16 Final

 

Course Notes/Textbooks Mikell P. Groover, "Automation, Production Systems, and Computer-Integrated Manufacturing", Second Edition, Prentice Hall Inc.
Suggested Readings/Materials Lecture Notes

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Homework / Assignments
Presentation / Jury
Project
1
30
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
30
Final / Oral Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
1
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
Including exam week: 16 x total hours
16
4
64
Laboratory / Application Hours
Including exam week: 16 x total hours
16
Study Hours Out of Class
16
4
Field Work
Quizzes / Studio Critiques
Homework / Assignments
Presentation / Jury
Project
1
32
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
10
Final / Oral Exam
1
10
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Adequate knowledge in Mathematics, Science and Software Engineering; ability to use theoretical and applied information in these areas to model and solve Software Engineering problems
2 Ability to identify, define, formulate, and solve complex Software Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose
3 Ability to design, implement, verify, validate, measure and maintain a complex software system, process or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern methods for this purpose
4 Ability to devise, select, and use modern techniques and tools needed for Software Engineering practice
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Software Engineering problems
6 Ability to work efficiently in Software Engineering 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 two foreign languages
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 Awareness of professional and ethical responsibility
10 Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development
11 Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Software Engineering solutions

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