Course Name | Introduction to CFD |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
AE 419 | Fall/Spring | 3 | 0 | 3 | 5 |
Prerequisites | None | |||||
Course Language | English | |||||
Course Type | Elective | |||||
Course Level | First Cycle | |||||
Mode of Delivery | - | |||||
Teaching Methods and Techniques of the Course | ||||||
Course Coordinator | ||||||
Course Lecturer(s) | ||||||
Assistant(s) |
Course Objectives | This course aims to present the basic principles of computational fluid mechanics, to provide common methods used in basis analysis stages. |
Learning Outcomes | The students who succeeded in this course;
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Course Description | Introduction to CFD course provides important tools in understanding of simulating the fluid flow. The course provides basic information about fluid mechanics, heat transfer, and numerical methods |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | X | |
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Governing equations of fluid flow and heat transfer | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
2 | Governing equations of fluid flow and heat transfer | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
3 | Classification method for simple PDE, classification of fluid flow equations | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
4 | Classification method for simple PDE, classification of fluid flow equations | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
5 | Solution algorithms for pressure-velocity coupling in steady-state condition | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
6 | Solution algorithms for pressure-velocity coupling in steady-state condition,, The finite volume method for diffusion problems, the finite volume method for two and three dimensional diffusion problems | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
7 | Project I | |
8 | The finite volume method for convection-diffusion problems | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
9 | Solution algorithms for pressure-velocity coupling in steady flows, | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
10 | Point-based iteration methods, multi-mesh structure | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
11 | The finite volume method for unsteady flows,, Solution of discretizated equations, the TDMA,, Point-iterative methods, Multigrid techniques | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
12 | Turbulent flow calculations, Reynolds-averaged Navier-Stokes equations and classical turbulence models | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
13 | Turbulent flow calculations, Reynolds-averaged Navier-Stokes equations and classical turbulence models | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
14 | Turbulent flow calculations, Reynolds-averaged Navier-Stokes equations and classical turbulence models | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
15 | Review of the lecture | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
16 | Review of the lecture | H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
Course Notes/Textbooks | H K VERSTEEG AND W MALALASEKERA ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007 |
Suggested Readings/Materials | J.F. WENDT (ED.) Computational Fluid Dynamics An Introduction, Third Edition, Springer, 2009 |
Semester Activities | Number | Weigthing |
Participation | ||
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 40 |
Final Exam | 1 | 60 |
Total |
Weighting of Semester Activities on the Final Grade | 1 | 40 |
Weighting of End-of-Semester Activities on the Final Grade | 1 | 60 |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
Study Hours Out of Class | 16 | 6 | 96 |
Field Work | |||
Quizzes / Studio Critiques | |||
Portfolio | |||
Homework / Assignments | |||
Presentation / Jury | |||
Project | |||
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 3 | |
Final Exams | 1 | 3 | |
Total | 150 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have theoretical and practical knowledge that have been acquired in the area of Mathematics, Natural Sciences, and Aerospace Engineering. | X | ||||
2 | To be able to assess, analyze and solve problems by using the scientific methods in the area of Aerospace Engineering. | X | ||||
3 | To be able to design a complex system, process or product under realistic limitations and requirements by using modern design techniques. | X | ||||
4 | To be able to develop, select and use novel tools and techniques required in the area of Aerospace Engineering. | X | ||||
5 | To be able to design and conduct experiments, gather data, analyze and interpret results. | |||||
6 | To be able to develop communication skills, ad working ability in multidisciplinary teams. | |||||
7 | To be able to communicate effectively in verbal and written Turkish; writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions. | |||||
8 | To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Aerospace Engineering solutions. | |||||
9 | To be aware of professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. | |||||
10 | To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. | |||||
11 | To be able to collect data in the area of Aerospace Engineering, and to be able to communicate with colleagues in a foreign language (‘‘European Language Portfolio Global Scale’’, Level B1). | |||||
12 | To be able to speak a second foreign language at a medium level of fluency efficiently. | |||||
13 | To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Aerospace Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest