FACULTY OF ENGINEERING

Department of Mechanical Engineering

ME 302 | Course Introduction and Application Information

Course Name
Manufacturing Automation
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
ME 302
Fall/Spring
2
2
3
5

Prerequisites
  ME 204 To get a grade of at least FD
Course Language
English
Course Type
Service Course
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s) -
Assistant(s) -
Course Objectives To teach and explain basic concepts related to automation of manufacturing. Give a broad view of hardware elements used in automation.
Learning Outcomes The students who succeeded in this course;
  • To learn sensors and actuators used in manufacturing automation.
  • To understand Digital-to-Analog conversion and discrete data I/O.
  • To learn and understand the use of PLCs
  • To understand basic hardware of Numerical Control.
  • To learn and understand the use of Robots.
Course Description Automation types, Sensors and Actuators, Data Conversion, Numerical Control technology and types of NC concept, Principles of NC programming, PLC, Robot anatomy.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Basic elements of automated systems; advanced automation functions; levels of automation Chapter 4
2 Binary systems and digital computer hardware Lecture notes
3 Sensors and actuators Chapter 6
4 Digital-to-analog conversion; i/o devices for discrete data Chapter 6
5 Fundamentals of NC technology Chapter 7
6 CNC and DNC concepts, applications Chapter 7
7 Analysis of positioning systems Chapter 7
8 Midterm 1
9 Introduction to part programming Chapter 7
10 Robot anatomy; robot control systems; Chapter 8
11 Industrial robot applications; robot accuracy and repeatability Chapter 8
12 Programmable logic controllers: discrete process control; ladder logic diagram Chapter 9
13 Programmable logic controllers: ladder logic diagram Chapter 9
14 Midterm 2
15 Review of the semester
16 Final Exam

 

Course Notes/Textbooks

Automation, Production Systems, and Computer-Integrated Manufacturing", Mikell P. Groover, Fourth Edition, Pearson

Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exams
Midterm
2
30
Final Exam
1
40
Total

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

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
3
42
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
2
20
40
Final Exam
1
20
20
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To have adequate knowledge in Mathematics, Mathematics based physics, statistics and linear algebra and Mechanical Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

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

X
3

To be able to design a thermal and mechanical system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

X
4

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

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Mechanical Engineering research topics.

X
6

To be able to work efficiently in Mechanical 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 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 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 solutions.

9

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

X
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.

X
11

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

X
12

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

X
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 Mechanical Engineering.

X

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

 


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