Experimental Methods In Engineering
Mechanical Engineering
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Experimental Methods In Engineering | MMK524 | Elective | Master's degree | 1 | Fall | 10 |
Name of Lecturer(s)
Assistant Prof. Dr. Şenol ŞAHİN
Learning Outcomes of the Course Unit
1) Explain the basic principles of test devices and measurement instruments, used in the experimental study.
2) Explain the principles of selection of the correct test devices and measurement instruments for experiments. Explain the principles of planning of the correct test make for testing.
3) Explain the methods for evaluation of experimental data.
4) Explain the methods of accurate and different evaluation to test and measurement data for production or manufacturing processes.
5) Explain the methods of accurate and different evaluation to test and measurement data for order processes, or sales processes.
6) Explain the methods of accurate, and different evaluation for the unit cost of a production process.
7) Explain the methods of accurate, and different evaluation for the unit purchase price or unit public price of a product.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | ||
| Learning Outcomes | ||||||||||||||
| 1 | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | |
| 2 | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | |
| 3 | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | |
| 4 | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | |
| 5 | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | |
| 6 | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | |
| 7 | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Mathematics, Physics, Numerical Analysis, Measurement Technique, Mechanics.
Course Contents
1.Temel Kavramları, 2.Ölçme Aletlerinin Uygulama Alanları, 3.Ölçme Aletlerinin Fonksiyonel Tanımları, 4.Deney Cihazlarının Uygulama Alanları, 5.Performans Karakteristikleri, 6.Deney Planlaması, 7.Isıl, Fiziksel Ve Mekanik Ölçümler (hareket, kuvvet, moment, güç, basınç, ses ölçümü vs.), 8.Ölçmenin Değerlendirilmesi, 9.Hata, Belirsizlik Analizi Ve İstatistiksel Yöntemler.
Weekly Schedule
1) Basic Concepts, The Measuring instruments and their principles of operation,2) The Test device and their principles of operation, The application areas from the test devices and the measuring instruments,
3) The Performance Characteristics from the test devices and the measuring instruments, The planning principles of Experiment,
4) Force, torque (torsion), displacement, stress, power, pressure, electrical resistance, electrical current, magnetic field, voltage, heat, temperature, length, and noise (noise) measurement methods, (Homework subject is given / Homework Mid-term Exam Week is delivered)
5) Evaluation of measurement results, Deviation, Error and Uncertainty Concepts, Evaluation of measurement results, Deviation, Error and Uncertainty Concepts, Statistical Methods, Root-Sum-Square (RSS) method, (Presentation Subject is given / Presentations are submitted starting from the Tenth Lesson Week).
6) Basıc concepts of Maximum probability of maximum uncertainty of Realization rate of Possibility of realization (accruing), The concept of Discrete Formulation, Chauvenet's criteria,
7) Gaussian (normal) distribution Binomial distribution, Poisson distribution, Probability disribution, Probability density,
8) Midterm exam. Chi square tests, The concept of degree of freedom, Introduction to Experimental design methods. Mid-year exam. (Homework Mid-term Exam Week is delivered /The Project Subject is given / The project is delivered in the thirteenth week of the lessons).
9) Experimental design method, anova and manova,
10) Probability disribution, Probability density, Chi square tests, The concept of degree of freedom, (Presentations are submitted starting from the Tenth Lesson Week).
11) Experimental design methods (Anova, Manova, Taguchi, Artificial Neural Networks, Adaptive-Network Based Fuzzy Inference Systems),
12) Experimental design methods (Anova, Manova, Taguchi),
13) Experimental design methods (Artificial Neural Networks, Adaptive-Network Based Fuzzy Inference Systems), (The project is delivered in the thirteenth week of the lessons).
14) Graphics software package programs. (Excuse Examination is held on the lesson day at the lesson time).
15) Final Exam.
16) KOCAELI UNIVERSITY ACADEMIC CALENDAR FOR THE ACADEMIC YEAR 2023-2024 When it is analysed, it is understood that there is no Midterm exam week planned.
Recommended or Required Reading
1- HOLMAN, J. P., 1994. Experimental Methods for Engineers, Sixth Edition, McGraw-Hill, Inc., ISBN 0-07-029666-9, Singapore.
2- Şahin, Ş., Mühendisler İçin Deneysel Yöntemler, Ders Notları, İzmit/Kocaeli
Şahin, Ş., Experimental Methods for Engineers, Lecture Notes, İzmit/Kocaeli
3- Ölçme Tekniği, kitap ve yayımları.
Measurement Techniques, books and publications.
4- Nümerik Analiz, kitap ve yayımları.
Numerical Analysis, books and publications.
5- Deney Tasarım, kitap ve yayımları.
Experimental Design, books and publications.
6- İstatistik Analiz, kitap ve yayımları.
Statistical Analysis, books and publications.
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Drill and Practice
4) Lab / Workshop
5) Problem Solving
6) Project Based Learning
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
30% |
|||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||
Contribution of Final Examination to Course Grade |
70% |
|||||||||||||||||
Total | 100% | |||||||||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required