Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
6MEMS913Smart Materials3+0+03507.08.2024

 
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Metallurgical and Materials Science Engineering
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course
Piezoelectric, electrostrictive, magnetostrictive, electroactive polymers, shape memory alloys and shape memory polymers, known as smart materials, are used as sensors or actuators in many mechatronic systems, especially defense and aerospace applications. In the Smart Materials and Applications course, classifications of smart materials are made, and the mechanical properties and application areas of nickel-titanium shape memory alloys, piezoelectric materials, magnetostrictive, electroactive polymers, shape memory polymers are explained in detail with detailed applications and students are asked to make a project in the course. At the same time intelligent material selection parameters are also explained.
Course Content In the Smart Materials and Applications course, classifications of smart materials are made, and the mechanical properties and application areas of nickel-titanium shape memory alloys, piezoelectric materials, magnetostrictive, electroactive polymers, shape memory polymers are explained in detail with detailed applications and students are asked to make a project in the course.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof. Doğu Ramazanoğlu dogu.ramazanoglu@gedik.edu.tr 
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Shape Memory Alloys Edited by Corneliu Cismasiu
Course Notes http://nickel-titanium.com/smart-materials-2/

Course Category
Engineering %40
Engineering Design %40
Field %20

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
Project 40 % 40
Final examination 60 % 60
Total
100
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 5 70
Mid-terms 1 2 2
Final examination 1 2 2
Total Work Load   Number of ECTS Credits 5 116

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Know the classification of smart materials

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to smart materials
2 Classification of smart materials
3 Fundemental characteristics of shape memory alloys
4 Nickel-titanium shape memory alloys
5 Shape memory polymer
6 Piesoelectric materials
7 A basic experimental application using shape memory alloys
8 Aerogel materials
9 Peltier and its applications
10 Student presentations
11 Student presentations
12 Student presentations
13 Student presentations
14 General review

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 4 5 5 4 5 3 3 4 5 4 5 5
C1

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  https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=234231&curProgID=63&lang=en