Introduction to Materials Science (ENS 205)

2021 Spring
Faculty of Engineering and Natural Sciences
Engineering Sciences(ENS)
3
6
Emre Erdem emreerdem@sabanciuniv.edu,
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English
Undergraduate
MATH102 NS102
Formal lecture,Recitation
Interactive,Communicative,Discussion based learning
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Programs\Type Required Core Elective Area Elective
Chemistry Minor *
Electronics Engineering *
Electronics Engineering *
Entrepreneurship Minor *
Industrial Engineering *
Industrial Engineering (Previous Name: Manufacturing Systems Engineering) *
Materials Science and Nano Engineering *
Materials Science and Nano Engineering (Previous Name: Materials Science and Engineering) *
Mechatronics Engineering *
Mechatronics Engineering *
Microelectronics *
Molecular Biology, Genetics and Bioengineering *
Molecular Biology, Genetics and Bioengineering (Pre. Name: Biological Sciences and Bioengineering) *
Physics Minor *
Telecommunications *

CONTENT

Classifications of materials; atomic structure and interatomic bonding; the structure of crystalline solids; imperfections in solids; diffusion; mechanical properties of metals; dislocations in metals; failure; phase daigrams; phase transformations and alteration of mechanical properties; alloys; structures and properties of ceramics; polymer structures, their applications and processing; composites; corrosion; electrical, thermal, magnetic and optical properties; case studies in materials selection. Also part o fthe "core course" pools for the BIO, MAT, ME degree programs.

OBJECTIVE

To provide the fundamentals of how interactions and structure at the atomic scale lead to material properties observed at the macroscopic scale and to introduce the fundamental thermodynamic/kinetic concepts operating on the structure for the design and implementation of materials with novel functions.

LEARNING OUTCOMES

  • Relate atomic scale interactions, type(s) of bonding, crystallinity, impurities, processing history in a material to structure and properties of the material that are observed at the macroscopic scale
  • Describe long-range order and short-range order; and use fundamental concepts such as primitive vectors, translational symmetry, Miller indices, and characterization tools (i.e., x-ray spectroscopy) to calculate parameters that are used to define long-range order in materials
  • Relate quantitatively and qualitatively flux, diffusion constant, time and temperature to each other and predict the outcomes of possible scenarios in materials science based on diffusion behavior in materials
  • Verbally define Young?s Modulus, yield stress, toughness, ductility, ultimate tensile stress, resilience, fracture toughness and show how to relate and calculate these terms for different cases
  • Draw the band structure of metals, polymers and semi-conductors, state quantitatively and qualitatively how the charge carriers, their mobility, and temperature affect conductivity in these materials
  • Interrelate the mechanical, thermal, and electrical properties of materials
  • Explain phase behavior and how thermodynamics and kinetics may be used to manipulate the observed phases

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. 1

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 4

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. 5

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 3

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. 5

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 4

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. 4

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. 2

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. 5

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. Comprehend key concepts in biology and physiology, with emphasis on molecular genetics, biochemistry and molecular and cell biology as well as advanced mathematics and statistics. 1

2. Develop conceptual background for interfacing of biology with engineering for a professional awareness of contemporary biological research questions and the experimental and theoretical methods used to address them. 1

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 2

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. 2

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

1. Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 1

2. Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 1

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 1

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 60
Midterm 40

RECOMENDED or REQUIRED READINGS

Textbook

Introduction to Materials Science for Engineers by J.F. Shackelford, 8th ed.

Readings

Materials Science and Engineering: An Introduction by Callister

Properties of Materials by Mary Ann White

Materials that are uploaded in SU-Course
Optional Readings

Easy reading material to be uploaded via SUCourse