ECTS - Introduction to Distortion Engineering

Introduction to Distortion Engineering (MFGE434) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to Distortion Engineering MFGE434 Area Elective 3 0 1 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Technical Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Drill and Practice, Team/Group.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Caner Şimşir
Course Assistants
Course Objectives This course aims to acquaint the students with "Distortion Engineering" which tries to solve distortion problem by a system-oriented approach. In contrast to classical methods, which try to eliminate distortion by production step base measures, "Distortion Engineering" considers the distortion as an attribute of whole manufacturing chain and optimizes the production by intelligent use of predictive and corrective methods.
Course Learning Outcomes The students who succeeded in this course;
  • Students will get acquainted with "Distortion Engineering" concept.
  • Students will cultivate understanding of distortion as a systems attribute.
  • Students will have understanding of the "Distortion Potential" and "Distortion Potential Carriers" such as asymmetries in the distributions of the alloying elements, mass, microstructure, residual stresses and texture.
  • Students will have hands-on-touch experience during laboratory sessions where residual stress measurements are conducted.
  • Students will cultivate understanding about the process chain design considering the evolution of distortion potentials.
Course Content Distortion, distortion potential, distortion potential carriers, compensation potential, production step based solutions, intelligent process chain design, predictive methods, use of in-situ measurement techniques and adaptive process control.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Distortion Engineering Chapter 1
2 Material Factors Affecting Distortion Chapter 2
3 Processing Factors Affecting Distortion Chapter 3
4 Distortion and Accumulation of Distortion Potentials during Mechanical Shaping Chapter 4
5 Distortion and Accumulation of Distortion Potentials during Machining Chapter 5
6 Distortion and Release of Distortion Potentials during Heating Chapter 6
7 Distortion and Release of Distortion Potential during Quenching Chapter 7
8 Distortion during Thermochemical Surface Treatments (Carburizing, Nitriding, Carbonitriding etc.) Chapter 8
9 Distortion during Thermal Surface Treatments (Induction, Laser, Flame Hardening) Chapter 9
10 Distortion during Welding/Joining Chapter 10
11 Predictive Methods for Process Chain Design Chapter 11
12 Adaptive Methods for the Control of Distortion Chapter 12
13 Case Study (I) Chapter 13
14 Case Study (II) Chapter 14
15 Final exam period All chapters
16 Final exam period All chapters

Sources

Course Book 1. Ders Notları
Other Sources 2. Zoch, H.W., Luebben,Th., Proceedings of 1st Conference on Distortion Engineering, Bremen, Germany, 2005
3. Zoch, H.W., Luebben,Th., Proceedings of 2nd Conference on Distortion Engineering, Bremen, Germany, 2008
4. Zoch, H.W., Luebben,Th., Proceedings of 3rd Conference on Distortion Engineering, Bremen, Germany, 2011
5. Totten, G.E., Howes. M., Inoue, T., Handbook of Residual Stress and Deformation of Steel, ASM International , ISNBN 0871707292, Ohio, 2002
6. Gür, C.H., Pan , J., Handbook of Thermal Process Simulation of Steels, CRC Press, Taylor & Francis Inc., ISBN 9780849350191, 2008
7. ] Liscic, B., Totten, G.E., Canale, L., Tensi, H., Quenching Theory and Technology 2nd Edition, CRC Press, Taylor & Francis Inc., ISBN 978-0-8493-9279-5, 2010

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory 1 10
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics 2 10
Homework Assignments 2 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 30
Final Exam/Final Jury 1 35
Toplam 9 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

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

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Knowledge of mathematics, natural sciences, engineering fundamentals, computing, and topics specific to the relevant engineering discipline; the ability to use this knowledge in the solution of complex engineering problems. X
2 The ability to identify, formulate, and analyze complex engineering problems using knowledge of basic sciences, mathematics, and engineering, and considering the UN Sustainable Development Goals relevant to the problem. X
3 The ability to design creative solutions for complex engineering problems; the ability to design complex systems, processes, devices, or products to meet current and future requirements, considering realistic constraints and conditions. X
4 The ability to select and use appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, for the analysis and solution of complex engineering problems, with an awareness of their limitations. X
5 The ability to use research methods for the investigation of complex engineering problems, including literature search, designing and conducting experiments, collecting data, and analyzing and interpreting results. X
6 Knowledge of the effects of engineering practices on society, health and safety, the economy, sustainability, and the environment within the scope of the UN Sustainable Development Goals; awareness of the legal consequences of engineering solutions.
7 Acting in accordance with engineering professional principles, knowledge of ethical responsibility; awareness of acting impartially without discrimination on any grounds and being inclusive of diversity. X
8 The ability to work effectively individually and in intra-disciplinary and multi-disciplinary teams (face-to-face, remote, or hybrid) as a team member or leader.
9 "The ability to communicate effectively orally and in writing on technical topics, considering the various differences of the target audience (such as education, language, profession).
10 Knowledge of practices in business life such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
11 The ability to engage in life-long learning, including independent and continuous learning, adapting to new and emerging technologies, and thinking inquisitively regarding technological changes. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Project
Report
Homework Assignments 10 4 40
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 3 6
Prepration of Final Exams/Final Jury 1 3 3
Total Workload 145