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Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Mechatronics Engineering
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
15571019 Damage Analysis and Reliability of Machine Components 2025 Autumn 7 3+0+1 3,5 5
Course Type Elective
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language Turkish
Methods and Techniques Lectures, Problem Solving, Lab, Case Studies, Projects
Mode of Delivery Face to Face
Prerequisites There are no prerequisites for this course
Coordinator Assoc. Prof. Ahmet MERAM
Instructor(s) Asst. Prof. Yasin USLUGİL
Instructor Assistant(s) -
Course Instructor(s)
Name and Surname Room E-Mail Address Internal Meeting Hours
Asst. Prof. Yasin USLUGİL A-126 [email protected] 7328 Tuesday
14:00-16:00
Course Content
Examination of damage mechanisms in machine components, stress concentration, fracture behavior, fatigue, wear, corrosion, failures observed in bearing and gear systems, root cause analysis methods, reliability engineering, life prediction methods, Weibull analysis, condition monitoring, and predictive maintenance applications. Conducting damage investigations and reliability assessments based on real-world engineering applications.
Objectives of the Course
The course aims to equip students with the ability to identify types of damage occurring in machine components, determine the causes of damage, perform reliability analyses, develop engineering solutions to prevent failures, and interpret condition monitoring data.
Contribution of the Course to Field Teaching
Basic Vocational Courses
Specialization / Field Courses X
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P1 Adequate knowledge of mathematics, science, and Mechatronics Engineering disciplines; Ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. 4
P2 Ability to identify, formulate and solve complex Mechatronics Engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 5
P3 Ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose 2
P4 Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; Ability to use information technologies effectively 4
P5 An ability to design and conduct experiments, collect data, analyze, and interpret results for the study of complex engineering problems or research topics specific to Mechatronics Engineering 5
P6 Ability to work effectively in disciplinary and multi-disciplinary teams; individual working skills 1
P7 Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions 4
P8 Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology, and to constantly renew oneself 3
P9 Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice 3
P10 Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development 2
P11 Information about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions 2
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Ability to identify the basic types of damage observed in machine components P.1.49 1
O2 The ability to explain stress accumulation and the mechanisms of damage initiation P.1.50 1
O3 Ability to interpret ductile and brittle fracture behavior P.1.51 1
O4 Ability to evaluate wear and corrosion mechanisms P.1.52 1
O5 Ability to perform basic reliability calculations P.1.53 1
O6 Ability to identify the basic types of damage observed in machine components P.2.66 1
O7 The ability to explain stress accumulation and the mechanisms of damage initiation P.2.67 1
O8 Ability to interpret ductile and brittle fracture behavior P.2.68 1
O9 Ability to analyze fatigue-induced damage P.2.69 1,7
O10 Ability to evaluate wear and corrosion mechanisms P.2.70 1
O11 The ability to classify failures that occur in bearing and gear systems P.2.71 1,7
O12 The ability to perform a root cause analysis on a damaged machine component P.2.72 1,7
O13 Ability to perform basic reliability calculations P.2.73 1
O14 Ability to estimate lifespan using the Weibull distribution P.2.74 1,7
O15 The ability to perform a root cause analysis on a damaged machine component P.4.41 1,7
O16 Ability to estimate lifespan using the Weibull distribution P.4.42 1,7
O17 Ability to evaluate condition monitoring and predictive maintenance methods P.4.43 1,7
O18 Ability to analyze fatigue-induced damage P.5.51 1,7
O19 The ability to classify failures that occur in bearing and gear systems P.5.52 1,7
O20 The ability to perform a root cause analysis on a damaged machine component P.5.53 1,7
O21 Ability to prepare technical damage analyses and reliability reports P.7.17 6
O22 Ability to evaluate condition monitoring and predictive maintenance methods P.8.19 1,7
O23 Ability to prepare technical damage analyses and reliability reports P.9.10 6
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 Introduction to Damage Analysis and Reliability Engineering
2 Types and Classification of Damage in Machine Components
3 Stress accumulation and damage initiation mechanisms
4 Ductile and brittle fracture behaviors
5 Fatigue Theory and S-N Curves
6 Methods for Calculating Fatigue Life
7 Examples of fatigue-induced damage and case studies
8 Wear mechanisms
9 Corrosion and environmental effects
10 Damage Analysis in Bearing Systems
11 Damage Analysis in Gear Systems
12 Root Cause Analysis, Fishbone Diagram, and FMEA
13 Reliability Engineering, MTBF, and Weibull Analysis
14 Condition monitoring, predictive maintenance, and reliability assessment
Textbook or Material
Resources Budynas, R.G., Nisbett, J.K., Shigley's Mechanical Engineering Design, McGraw-Hill.
Juvinall, R.C., Marshek, K.M., Fundamentals of Machine Component Design, Wiley.
ASM Handbook Volume 11: Failure Analysis and Prevention.
Mobley, R.K., An Introduction to Predictive Maintenance.
O'Connor, P.D.T., Kleyner, A., Practical Reliability Engineering
Bloch, H.P., Geitner, F.K., Machinery Failure Analysis and Troubleshooting.
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice 1 30 (%)
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Quiz - -
Midterms 1 30 (%)
Final Exam 1 40 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 3 42
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 3 42
Midterms 1 10 10
Quiz 0 0 0
Homework 0 0 0
Practice 1 10 10
Laboratory 14 1 14
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 20 20
Other 0 0 0
Total Work Load: 138
Total Work Load / 30 4,60
Course ECTS Credits: 5
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1 P2 P4 P5 P7 P8 P9
O1 Ability to identify the basic types of damage observed in machine components 4 5 - - - - -
O2 The ability to explain stress accumulation and the mechanisms of damage initiation 4 5 - - - - -
O3 Ability to interpret ductile and brittle fracture behavior 4 5 - - - - -
O4 Ability to evaluate wear and corrosion mechanisms - 5 - 4 - - -
O5 Ability to perform basic reliability calculations 4 5 - - - - -
O6 Ability to identify the basic types of damage observed in machine components - 4 - 5 - - -
O7 The ability to explain stress accumulation and the mechanisms of damage initiation - 4 5 5 - - -
O8 Ability to interpret ductile and brittle fracture behavior 4 5 - - - - -
O9 Ability to analyze fatigue-induced damage - 4 5 - - - -
O10 Ability to evaluate wear and corrosion mechanisms - - 5 - - 4 -
O11 The ability to classify failures that occur in bearing and gear systems - - - - 5 - 4
O12 The ability to perform a root cause analysis on a damaged machine component - - - - - - -
O13 Ability to perform basic reliability calculations - - - - - - -
O14 Ability to estimate lifespan using the Weibull distribution - - - - - - -
O15 The ability to perform a root cause analysis on a damaged machine component - - - - - - -
O16 Ability to estimate lifespan using the Weibull distribution - - - - - - -
O17 Ability to evaluate condition monitoring and predictive maintenance methods - - - - - - -
O18 Ability to analyze fatigue-induced damage - - - - - - -
O19 The ability to classify failures that occur in bearing and gear systems - - - - - - -
O20 The ability to perform a root cause analysis on a damaged machine component - - - - - - -
O21 Ability to prepare technical damage analyses and reliability reports - - - - - - -
O22 Ability to evaluate condition monitoring and predictive maintenance methods - - - - - - -
O23 Ability to prepare technical damage analyses and reliability reports - - - - - - -