METE350 MULTI-SCALE MODELING AND SIMULATION OF MATERIALS
| Course Code: | 5700350 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (2.00 - 2.00) |
| ECTS Credit: | 5.0 |
| Department: | Metallurgical and Materials Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | |
| Offered Semester: | Spring Semesters. |
Course Objectives
1. After successfully completing this course the students will be able to understand the basic principles about the computational materials science
2. The students will know and be able to identify the correct models and simulation methods to understand a phenomena at the correct length and time scales
3. Student will comprehend how they design a materials and simulate its properties and microstrucutre under a given processing conditions
4. Explain mathematical and physical tools in advanced phenomenological materials modeling and simulation.
5. Solve problems in materials science applications via computer simulation and modeling techniques.
Course Content
Basics of computational materials science. Mathematical and physical basis of modeling. Methodology for developing models. Simulation of models as finite systems. Microscale methods: molecular dynamics and Monte Carlo. Mesoscale methods: kinetic Monte Carlo, Monte Carlo at the mesoscale, cellular automata, phase-field, dislocation dynamics and crystal plasticity. Macroscale finite element methods and integrated modeling and simulation at multiple-scales.
Course Learning Outcomes
This course addresses the following ABET outcomes:
(a) An ability to apply knowledge of mathematics, science and engineering;
(c) An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability;
(k) An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice;
and, additionally, the following department-specific Student Outcomes
(l) A knowledge of the scientific and engineering principles underlying the four
major elements of the field; structure, properties, processing and performance
related to material systems.
(m) An ability to apply and integrate knowledge from each of the four major elements of the field to solve materials and/or process selection and design problems.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||
| 8 | Knowledge of the scientific and engineering principles underlying the four major elements of the field; structure, properties, processing and performance related to material systems | ✔ | |||
| 9 | An ability to apply and integrate knowledge from each of the four major elements of the field to solve materials and/or process selection and design problems | ✔ | |||