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
Oral Exams
Midterm
1
30
Final 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
Theoretical 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
Oral Exam
Midterms
1
10
Final Exam
1
10
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To have adequate knowledge in Mathematics, Science, Computer Science and Software Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

2

To be able to identify, define, formulate, and solve complex Software Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

3

To be able to design, implement, verify, validate, document, measure and maintain a complex software system, process, or product under realistic constraints and conditions, in such a way as to meet the requirements; ability to apply modern methods for this purpose.

4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in software engineering applications; to be able to use information technologies effectively.

5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex Software Engineering problems.

6

To be able to work effectively in Software Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to be able to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices and software applications on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Engineering and Software Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Software Engineering, and to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Software Engineering.

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