Kinetics in materials engineering involves how a system approaches equilibrium, i.e. microstructural evolution: diffusion equation, diffusion in the atomic level, diffusion in crystals and and noncrystalline materials, surface and interface structure and formation, motion of dislocations, phase transformations—diffusional, such as nucleation and growth for solidification, and diffusionless, such as martensitic— and crystallization, reaction/mixture kinetics.
Kinetics of Materials (MAT 206)
Programs\Type | Required | Core Elective | Area Elective |
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) | * | ||
Telecommunications | * |
CONTENT
OBJECTIVE
Course motivation: Material systems evolve due to reactions or transformations. While thermodynamics tell us what the final state should be, kinetics tells us if and how the system will reach its final state. The details for how quickly or in what manner the system evolves would guide you determining the processing of a material. Such information would also help you predict if the performance of your material would be stable during its operational lifetime. This course will prepare you for being an effective materials engineer or scientist, independent of your specialization.
LEARNING OUTCOMES
- Be able to describe atomistic models of diffusion, their practical validation, and their use in applied studies
- Be able to build models of evolving surfaces and interfaces in the context of thermodynamic descriptions
- Be able to model microstructural evolution during solidification
- Be able to describe the model of nucleation and growth for homogeneous and heterogeneous systems
- Be able to describe models for diffusionless transformation and apply these models in practical application
- Be able to apply thermodynamic principles to describe microstructural evolution in models of simple systems and in real application
- Be able to apply equilibrium phase diagrams to analyze complex processes in materials evolution and model departure from equilibrium conditions.
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. 3
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. 3
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. 5
2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5
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. 4
5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 3
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. 4
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. 2
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. 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. 1
Update Date:
ASSESSMENT METHODS and CRITERIA
Percentage (%) | |
Midterm | 30 |
Quiz | 30 |
Group Project | 40 |
RECOMENDED or REQUIRED READINGS
Readings |
The following textbooks provide supplemental information for the lecture material: |