Computer Aided Production Systems

Course Code:

ISE 464

Course Type:

Area Elective

Credits:

3

Theoric:

3

Practice:

0

Laboratory Hour:

0

ECTS:

5

Course Language:

English

Courses given by:

Eylül Damla Gönül Sezer

Course Objectives:

This course aims to teach the students how to use the fundamental computer integrated production methods applied in industry. (CNC lathe and milling machines, PLC programming, the flexible manufacturing systems, industrial control systems, CNC machines, industrial robotics).

Course Content:

This course is an introduction to the fundamental methods used in Computer Integrated Manufacturing. Topics covered will include computer aided design, geometric tolerance, process engineering, tooling and fixtures, data communication in manufacturing and robotics. CNC lathe and milling machine programming, robot programming, PLC programming will also be covered. Also, a project on a recent CIM topic will be performed by each student individually.

Course Methodology:

1: Lecture, 2: Question-Answer, 3: Lab, 4: Case-study

Course Evaluation Methods:

A: Testing, B: Experiment, C: Homework, D: Project

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Course Learning Outcomes

Course Learning Outcomes	Program Learning Outcomes	Teaching Methods	Assessment Methods
1) Ability to understand and write computer-aided manufacturing algorithms	1, 2, 5	1, 2, 3	A, C, D
2) Ability to understand tooling and fixturing procedures	1, 2, 6	1, 2, 3	A, C, D
3) Able to use methods in process engineering to solve large-scale optimization problems	1, 2, 3, 4, 5	1, 2, 3	A, C, D
4) Ability to use machine control techniques via computers	1, 2, 3, 4	1, 2, 3	A, C, D
5) Ability to use data communication and group technology in manufacturing applications	4, 8, 10	2, 3	A, C, D
6) Ability to understand and use applications of reverse engineering and rapid prototyping	4, 8, 10	1, 2, 3	A, C, D
7) Ability to work effectively in a group to solve a real word problem	6, 7	1, 2, 3	D

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	Introduction to the history of CIM and recent technological developments	Course Notes
2	Part design specification	Textbooks
3	Computer aided design	Textbooks
4	Process engineering	Textbooks
5	Tooling and fixturing	Textbooks
6	Fixed automation	Textbooks
7	Programmable Logic Control	Textbooks
8	Data communication and local area networks	Textbooks
9	Midterm Exam 1	Textbooks
10	Fundamentals of numerical control	Textbooks
11	NC programming	Textbooks
12	Industrial robotics	Textbooks
13	Group technology	Textbooks
14	Process planning	Textbooks
15	Rapid prototyping and reverse engineering Midterm Exam 2	Textbooks

Recommended Sources

RECOMMENDED SOURCES
Textbook	Chang, T-C., Wysk, R.A., Wang, H-P., 2006, Computer-Aided Manufacturing, Third edition, Prentice-Hall.
Additional Resources	Groover, M.P., 2008, Automation, Production Systems and Computer Integrated Manufacturing, Third edition, Pearson.

Material Sharing

MATERIAL SHARING
Documents	Lecture notes
Assignments	5 Homework
Exams	2 Midterms, and 1 Final Exam

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Mid-term	2	37,5
Homework	5	15
Project	1	20
Total		100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		35
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		65
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM
No	Program Learning Outcomes	Contribution
No	Program Learning Outcomes	1	2	3	4	5
1	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.					X
2	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.					X
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.				X
4	Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.					X
5	Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems.				X
6	Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.					X
7	Ability to communicate effectively both orally and in writing; knowledge of a minimum of one foreign language.					X
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.				X
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.				X
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 engineering solutions.

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Excluding the exam weeks: 13x Total course hours)	13	3	39
Hours of studying for the exams (Homework, Midterm and Final)	1	50	50
Midterm examination	1	2	4
Project	1	30	30
Final examination	1	3	3
Total Work Load			126
Total Work Load / 25 (h)			5.0
ECTS Credit of the Course			5

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