Computer Aided Manufacturing and Industry 4.0(IND337)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| IND337 | Computer Aided Manufacturing and Industry 4.0 | 5 | 3 | 0 | 0 | 5 | 5 |
| Prerequisites | |
| Admission Requirements |
| Language of Instruction | French |
| Course Type | Compulsory |
| Course Level | Bachelor Degree |
| Course Instructor(s) | Orhan FEYZİOĞLU ofeyzioglu@gsu.edu.tr (Email) |
| Assistant | |
| Objective | The main objective of this course is to educate students about the transformative impact of digital technologies and Industry 4.0 principles on modern manufacturing practices. This course aims to equip students with the knowledge and skills necessary to integrate computer systems, automation, data analytics and cyber-physical systems into manufacturing processes, increasing efficiency, productivity, sustainability and competitiveness in the evolving industrial environment. Students learn to leverage advanced technologies to optimize manufacturing operations, make data-driven decisions and understand the broader implications of the fourth industrial revolution on the manufacturing industry. |
| Content |
Introduction to Industry 4.0: Defining Industry 4.0; Technologies underpinning Industry 4.0; Industry 4.0 challenges; Quality 4.0; Supply Chain 4.0; Data standardization; Internet and Ethernet; Internet of Things; Industrial control systems and IoT; Big Data; Automation and software technologies; VR, AR and AI; Maintenance 4.0; Flexible production; Maturity models for Industry 4.0. Introduction to Advanced Manufacturing for Industry 4.0: Careers in Manufacturing; Finding a Career in Manufacturing; Manufacturing Companies; Planning and Staffing a Manufacturing Company; Manufacturing Processes; Computers in Manufacturing; Automation in Manufacturing. Computer-integrated manufacturing: Introduction to CIM; Overview of OpenCIM software; Parts and production flow; Storage configuration; Production planning; Process and machine definition; Part definition; Product part definition; Producing a new part; Timing and optimization; Viewing production details in the machine view; Viewing production details in the storage view; Defining part production in the lathe; Integrated production; Monitoring integrated production. Fundamentals of robotics for SCORBOT-ER4u: Introduction to robotics; Using robotic control software; Recording robot positions; Programming a simple pick-and-place task; Absolute and relative positions; Basic robotic programming tools; Block alignment project; Feeders and jigs; Peripherals; Linear wheelbase project; Encoders; Rolling and pitching; Programming the robot to perform linear movements; Programming the robot to perform circular movements. CNC milling technology: Introduction and safety; CNCMotion control software; Part set-up; Tooling; Reference positions; Program verification; Program execution; Basic principles of NC programming; Tool offset theory; Arc programming. CNC turning technology: Introduction and safety; CNCMotion Control software; Workpiece fixture; Tooling; Reference positions; Checking a program; Machining a workpiece; Introduction to NC programming; Taper programming; Taper machining; Arc programming; Machining with multiple tools. |
| Course Learning Outcomes |
Upon successful completion of this course, the student: 1. Understanding of Industry 4.0 Principles: Understands the basic principles and fundamentals of Industry 4.0 with particular focus on how they are applied to robotics, CNC technologies and system automation in modern manufacturing. 2. CNC milling and turning proficiency: Acquire basic knowledge and skills in programming, operating and using CNC milling and turning machines for precision manufacturing processes. 3. Robotics Application in Manufacturing: In-depth understanding of robotics applications in modern manufacturing, including programming, operating and integrating robots for automation and improved efficiency. 4. Robotics Integration with CNC Systems: Effectively integrates robotics with CNC machines to optimize processes, increase precision and automate repetitive tasks in production. 5. Knowledge of Automation Systems: Understands the principles and components of automation systems used in manufacturing, including PLCs (Programmable Logic Controllers) and other automation technologies. 6. Ability to Design Automation Systems: Designs and configures automated systems for specific manufacturing tasks, combining robotics and CNC technologies to streamline manufacturing processes. 7. Optimization of Manufacturing Processes: Applies knowledge and skills to optimize manufacturing processes, reduce waste, improve cycle times and increase overall productivity through the effective use of CNC, robotics and automation. |
| Teaching and Learning Methods | Computer Assisted Instruction; One-to-one Application; Simulation; Problem Solving. |
| References | Course resources will be available online. |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | Introduction to Industry 4.0 |
| 2 | Introduction to Industry 4.0 |
| 3 | Introduction to advanced manufacturing systems for Industry 4.0 |
| 4 | Introduction to advanced manufacturing systems for Industry 4.0 |
| 5 | Computer integrated manufacturing |
| 6 | Computer integrated manufacturing |
| 7 | Computer integrated manufacturing |
| 8 | Midterm Exam |
| 9 | Robotics Basics |
| 10 | Robotics Basics |
| 11 | CNC milling technology |
| 12 | CNC milling technology |
| 13 | CNC lathe technology |
| 14 | CNC lathe technology |
Practice Topics
| Week | Weekly Contents |
|---|---|
| 1 | |
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| 14 |
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 6 | 60 |
| Contribution of final exam to overall grade | 1 | 40 |
| Toplam | 7 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Midterm Examinations (including preparation) | 1 | 20 |
| Project | 0 | 0 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 5 | 40 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Toplam | 6 | 60 |
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Knowledge and understanding of a wide range of basic sciences (math, physics, ...) and the main concepts of engineering | X | ||||
| 2 | Ability to combine the knowledge and skills to solve engineering problems and provide reliable solutions | X | ||||
| 3 | Ability to select and apply methods of analysis and modeling to ask, reformulate and solve the complex problems of industrial engineering | |||||
| 4 | Ability to conceptualize complex systems, processes or products under practical constraints to improve their performance, ability to use innovative methods of design | X | ||||
| 5 | Ability to design, select and apply methods and tools needed to solve problems related to the practice of industrial engineering, ability to use computer technology | X | ||||
| 6 | Ability to design experiments, collect and interpret data and analyze results | |||||
| 7 | Ability to work independently, ability to participate in working groups and have a multidisciplinary team spirit | X | ||||
| 8 | Ability to communicate effectively, ability to speak at least two foreign languages | |||||
| 9 | Awareness of the need for continuous improvement of lifelong learning, ability to keep abreast of scientific and technological developments to use the tools of information management | |||||
| 10 | Awareness of professional and ethical responsibility | |||||
| 11 | Knowledge of the concepts of professional life as "project management", "risk management" and "management of change" | |||||
| 12 | Knowledge on entrepreneurship, innovation and sustainability | |||||
| 13 | Understanding of the effects of Industrial Engineering applications on global and social health, environment and safety. | |||||
| 14 | Knowledge of the problems of contemporary society | X | ||||
| 15 | Knowledge of the legal implications of the practice of industrial engineering | |||||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 14 | 3 | 42 |
| Working Hours out of Class | 13 | 3 | 39 |
| Midterm Examinations (including preparation) | 1 | 11 | 11 |
| Final Examinations (including preparation) | 1 | 16 | 16 |
| Quiz | 5 | 3 | 15 |
| Total Workload | 123 | ||
| Total Workload / 25 | 4,92 | ||
| Credits ECTS | 5 | ||