Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
0MCTS440Industrial Applications of Robotic Welding Technologies3+0+03517.11.2025

 
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Mechanical Engineering (English)
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The aim of this course is to equip students with the knowledge and practical skills necessary to understand and implement robotic welding technologies in industrial settings. It focuses on enhancing productivity, precision, and safety in manufacturing processes through the use of advanced automated welding systems. Students will learn to analyze, select, and integrate appropriate robotic welding solutions, and will gain hands-on experience in programming, operating, and troubleshooting these technologies in real-world industrial applications.
Course Content The course covers the fundamentals of robotic welding systems, including an introduction to various welding processes such as MIG, TIG, and laser welding, and their adaptation to robotic systems. Students will learn about the components of robotic welding equipment, including robots, end-effectors, and power sources, as well as programming and operating these systems for industrial applications. Key topics include safety and quality control measures, integration of robotic welding into production lines, and troubleshooting and maintenance of robotic systems. The course also explores real-world case studies from industries like automotive, aerospace, and construction, highlighting the practical benefits of robotic welding. Additionally, emerging trends such as AI-driven welding automation and the role of Industry 4.0 in enhancing these technologies are discussed.
Course Methods and Techniques Classroom, laboratory
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Prof.Dr. Savaş Dilibal
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Robotic Welding, Intelligence and Automation

Course Category
Engineering %50
Engineering Design %50

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 15 3 45
Hours for off-the-c.r.stud 14 1 14
Assignments 7 7 49
Presentation 1 4 4
Mid-terms 1 2 2
Practice 1 5 5
Laboratory 1 10 10
Project 1 3 3
Final examination 1 2 2
Total Work Load   Number of ECTS Credits 5 134

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Students will develop a thorough understanding of the principles and technologies behind robotic welding systems.
2 Students will be able to differentiate between various welding processes, including MIG, TIG, and laser welding, and understand their application in robotic systems.
3 Students will gain hands-on experience with robotic welding equipment, learning to select, integrate, and operate essential components like welding arms, end-effectors, and power sources.
4 Students will learn to program robotic welding systems and operate them effectively in industrial settings.
5 Students will be knowledgeable about safety standards and quality control measures, including non-destructive testing methods for ensuring welding precision.
6 Students will be equipped to design and implement robotic welding systems within industrial production lines, optimizing workflow and productivity.
7 Students will acquire skills to troubleshoot common issues in robotic welding and perform preventative maintenance on robotic welding systems.
8 Students will gain an understanding of how robotic welding is applied in industries like automotive, aerospace, and construction through case studies.
9 Students will stay informed on the latest trends in robotic welding, such as the integration of AI and Industry 4.0 technologies, preparing them for future advancements in the field.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction of DAIHEN (OTC) corporation 1. About DAIHEN (History, Governance, Business scope) 2. Introduction of Welding & Joining/FA Robot Division 3. Introduction of OTC DAIHEN Europe
2 Overview of Welding & joining Process 4. Classification of Welding & Joining Process 5. History of Welding & Joining Technology
3 Overview of Arc welding process 1. Feature of arc characteristic
4 Gas Metal Arc Welding (GMAW) for robot 2. Introduction of Gas Metal Arc Welding, GMAW 3. Welding equipment (Power Source, Wire Feeder, Torch) 4. Type of shield gases, welding materials 5. Case study: How to select welding equipment, gases & welding wires
5 Metal transfer and spattering of GMAW 1. Metal Transfer Mode of GMAW 2. Mechanism of Spatter Generation 3. What are problems for spattering of GMAW
6 Spatter reduction methods 4. Spatter Reduction by Waveform Control 5. Spatter Reduction by Waveform Control and Weire Feed Control 6. Case study: Automobile industries application
7 Pulsed GMAW 1. Principle of Pulsed GMAW 2. Effect of process parameters on pulsed arc 3. Case study: Application of various industry fields Advanced pulsed GMAW 1. Low frequency modulated pulse and its application 2. AI controlled pulsed GMAW and its application
8 Advanced GMAW process I 1. AC pulsed GMAW process and its application 2. Tandem pulsed GMAW and its application
9 Advanced GMAW process II 3. High current buried arc(D-arc) process and its application 4. Laser GMA hybrid welding process and its application
10 Welding defect by robot GMAW 1. porosity generation 2. crack occurrence 3. Case study: counter measuring of porosity and crack in welding field
11 New Joining Technology 1. Cold Spot Joining, CSJ 2. Metal/Plastic Joining process using Laser
12 Overview of industrial robots and other robots 1. History of Industrial Robot 2. Industrial Robot Classification 3. Industrial Robots and Peripheral Equipment 4. Industrial Robots in Action
13 Overview of industrial robots and other robots 5. Case Study: How to select the right robot.
14 Basic mechanism and initial parameter setting. 1. Configuration of a vertical articulated robot 2. Tool tip position and each axis position 3. Individual axis error and mastering 4. Cross mastering
15 Basic mechanism and initial parameter setting. 5. Case Study: How to do mastering successfully with python simulation

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All
C1
C2
C3
C4
C5
C6
C7
C8
C9

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