Mechanical Vibrations (ME425) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Mechanical Vibrations ME425 Elective Courses 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives 1) Identify the equivalent lumped parameter models of mechanical systems; 2) Derive the equation of motion using free-body-diagrams and energy methods; 3) Solve the vibrations of single and two-degrees of freedom systems; 4) Design for reduced vibrations; 5) Understand the Frequency Response Functions and modal analysis; 6) Simulate the systems using computation software.
Course Learning Outcomes The students who succeeded in this course;
Course Content Temel tanımlar, tek serbestlik dereceli sistemler, titreşim yalıtımı, iki serbestlik dereceli sistemler: hareket denklemleri, koordinat dönüşümleri, temel koordinatlar, titreşim modları, torsiyonel titreşim, çoklu serbestlik dereceli sistemler, koordinat dönüşümler ve normal koordinatlar, modal analiz, harmonik zorlamalı sistemlerin çözümü.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Concepts of vibrations
2 Lumped parameter systems
3 Introduction to Matlab: Basics and essentials
4 Response of undamped SDOF systems to initial excitations
5 Response of damped SDOF systems to initial excitations
6 Matlab : Effect of damping of SDOF systems and its measurement
7 Response of SDOF systems to Harmonic and Periodic excitations
8 Systems with rotating unbalanced mass and base vibrations, whirling of shafts.
9 Matlab : Vibration isolation.
10 Response of SDOF systems to nonperiodic excitations.
11 Response of SDOF systems to arbitrary excitations.
12 Matlab session: Convolution integral.
13 2-DOF systems: Equations of motion and free vibrations.
14 2-DOF systems: Modal analysis and response to harmonic excitations.
15 Review before Final exam
16 Review before Final exam

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 10
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 7 15
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 40
Final Exam/Final Jury 1 35
Toplam 11 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
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 An ability to apply advanced knowledge in computational and/or manufacturing technologies to solve manufacturing engineering problems .
2 An ability to define and analyze issues related with manufacturing technologies.
3 An ability to develop a solution based approach and a model for an engineering problem and design and manage an experiment.
4 An ability to design a comprehensive manufacturing system based on creative utilization of fundamental engineering principles while fulfilling sustainability in environment and manufacturability and economic constraints.
5 An ability to chose and use modern technologies and engineering tools for manufacturing engineering applications.
6 Ability to perform scientific research and/or carry out innovative projects that are within the scope of manufacturing engineering.
7 An ability to utilize information technologies efficiently to acquire datum and analyze critically, articulate the outcome and make decision accordingly.
8 An ability to attain self-confidence and necessary organizational work skills to participate in multi-diciplinary and interdiciplinary teams as well as act individually.
9 An ability to attain efficient communication skills in Turkish and English both verbally and orally.
10 An ability to reach knowledge and to attain life-long learning and self-improvement skills, to follow recent advances in science and technology.
11 An awareness and responsibility about professional, legal, ethical and social issues in manufacturing engineering.
12 An awareness about solution focused project and risk management, enterpreneurship, innovative and sustainable development.
13 An understanding on the effects of engineering applications on health, social and legal aspects at universal and local level during decision making process.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project
Report
Homework Assignments 7 3 21
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 98