Material types classified according to atomic composition; material types classified according to application; physical and chemical properties of materials; aspects of materials which might interest a chemist, physicist, and engineer; surface properties of materials compared to bulk properties; molecular and morphological basis of material physico- chemical properties; DSC analysis of materials; TGA analysis; static contact angle analysis; rheometric analysis FT-IR analyses; X-ray diffractometric analysis; solid state NMR analysis.
Materials Characterization (MAT 312)
2022 Fall
Faculty of Engineering and Natural Sciences
Materials Sci.& Nano Eng.(MAT)
4
8/7 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Canan Atılgan canan@sabanciuniv.edu,
Click here to view.
English
Undergraduate
ENS202 ENS205 MAT204
Formal lecture,Laboratory
Interactive,Learner centered,Communicative,Discussion based learning,Task based learning
Click
here
to view.
| Programs\Type | Required | Core Elective | Area Elective |
| Electronics Engineering | * | ||
| Electronics Engineering | * | ||
| Energy Minor | * | ||
| Materials Science and Nano Engineering | * | ||
| Materials Science and Nano Engineering (Previous Name: Materials Science and Engineering) | * | ||
| Mechatronics Engineering | * | ||
| Mechatronics Engineering | * | ||
| Microelectronics | * | ||
| Telecommunications | * |
CONTENT
OBJECTIVE
The focus of this course will be the analysis and characterization of engineered materials, to develop an intuitive understanding of their structure?properties?processing?performance relationships. To this end, a broad selection of commonly used characterization tools will be the subject of discussions and demonstration. We will use heat, light, electrons, and x?rays to probe the material structure. For each technique, we will address the structural features of the material being investigated, and interpret the results of analyses to deduce information about the structure?property relationship in the material.
Stories that we pursue in this class will enable us to,
1) relate material properties to their structure and processing history
2) develop new materials based on our understanding of structure?properties relationships
3) understand how to extract material information by choosing the best analysis method
LEARNING OUTCOMES
- use of heat, light, electrons, and x-rays to probe material structure
- explain the basic operating principles, capabilities and limitations of structural, morphological, and thermal characterization instruments
- describe and model structural features of the material are being investigated
- identify the appropriate experimental method for a specific failure analysis problem
- analyze and interpret data obtained from materials analysis experiments to deduce information about the structure-property relationship in the material
- communicate the structure-property relationship for a materials design challenge
- discuss the relationship between hard material structure, properties, processing, and performance
- discuss the relationship between soft material structure, properties, processing, and performance
PROGRAMME OUTCOMES
1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 2
2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 2
3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects; have the ability to continue to educate him/herself. 4
4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4
5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 2
1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 3
2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 3
3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 5
4. Have the ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 3
5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 4
6. Possess knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 1
7. Possess knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; knowledge of behavior according to ethical principles, understanding of professional and ethical responsibility. 2
8. Have the ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. 3
1. Use mathematics (including derivative and integral calculations, probability and statistics, differential equations, linear algebra, complex variables and discrete mathematics), basic sciences, computer and programming, and electronics engineering knowledge to (a) Design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software or (b) Design and analyze communication networks and systems, signal processing algorithms or software 1
1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 5
2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 5
3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 5
1. Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 1
2. Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 2
Update Date:
ASSESSMENT METHODS and CRITERIA
| Percentage (%) | |
| Final | 20 |
| Midterm | 20 |
| Participation | 10 |
| Other | 50 |
RECOMENDED or REQUIRED READINGS
| Optional Readings |
* Microstructural characterization of materials / by D. Brandon, W.D. Kaplan, Wiley, 1999 |