FACULTY OF ENGINEERING
Department of Mechanical Engineering
ME 463 | Course Introduction and Application Information
| Course Name |
Computational Methods for Fluid Dynamics
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
ME 463
|
Fall/Spring
|
2
|
2
|
3
|
5
|
| Prerequisites |
None
|
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| Course Language |
English
|
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| Course Type |
Elective
|
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| Course Level |
First Cycle
|
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| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | This course is designed to introduce the fundamental concepts, techniques, methods, and algorithms used in computational fluid dynamics. Students will learn to develop and implement numerical methods (finite difference, finite volume, finite element methods) and related algorithms for numerical solution of flow and transport partial differential equations (PDE) models. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | Basic Concepts of Fluid Flow, A Review of Numerical Methods, Finite Difference Method, Finite Volume Method, The Finite Volume Method for Diffusion Problems, The Finite Volume Method for Convection-Diffusion Problems, Pressure – Velocity Coupling in Steady Flows, Finite Volume Method for Unsteady Flows, Boundary Conditions, Errors and Uncertainty in CFD, Finite Element Method |
|
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Core Courses | |
| Major Area Courses |
X
|
|
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Basic Concepts of Fluid Flow and Computational Fluid Dynamics | Chapter 1, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson. |
| 2 | Conservation Laws of Fluid Motion | Chapter 2, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson. |
| 3 | Finite Difference Method | Chapter 3, Ferziger J. H., Peric M., Street R. L. (2020). Computational Methods for Fluid Dynamics, 4th Ed., Springer.. |
| 4 | Numerical Methods for Linear and Non-Linear Set of Equations | Chapter 7, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson. |
| 5 | Finite Volume Method | Chapter 4, Ferziger J. H., Peric M., Street R. L. (2020). Computational Methods for Fluid Dynamics, 4th Ed., Springer. |
| 6 | The Finite Volume Method for Diffusion Problems | Chapter 4, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson. |
| 7 | The Finite Volume Method for Convection-Diffusion Problems | Chapter 5, Ferziger J. H., Peric M., Street R. L. (2020). Computational Methods for Fluid Dynamics, 4th Ed., Springer. |
| 8 | Midterm Exam | |
| 9 | Pressure – Velocity Coupling in Steady Flows | Chapter 6, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson. |
| 10 | Finite Volume Method for Unsteady Flows | Chapter 8, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson. |
| 11 | Boundary Conditions | Chapter 9, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson. |
| 12 | Modelling of Turbulent Flows | Chapter 3, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson. |
| 13 | Modelling of Combustion | Chapter 12, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson |
| 14 | Errors and Uncertainty in CFD, Grid Generation and Handling Complex Geometries in CFD | Chapter 10-11, Versteeg H. K., Malalasekera W. (2007). An Introduction to Computational Fluid Dynamics, 2nd Ed., Pearson |
| 15 | Review | |
| 16 | Final Exam |
| Course Notes/Textbooks |
|
| Suggested Readings/Materials |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
1
|
10
|
| Presentation / Jury | ||
| Project |
1
|
40
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
20
|
| Final Exam |
1
|
30
|
| Total |
| Weighting of Semester Activities on the Final Grade |
3
|
70
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
30
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
2
|
32
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
2
|
32
|
| Study Hours Out of Class |
14
|
2
|
28
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
2
|
4
|
8
|
| Presentation / Jury |
0
|
||
| Project |
1
|
13
|
13
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
15
|
15
|
| Final Exam |
1
|
22
|
22
|
| Total |
150
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | To have adequate knowledge in Mathematics, Mathematics based physics, statistics and linear algebra and Mechanical Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. |
X | ||||
| 2 | To be able to identify, define, formulate, and solve complex Mechanical Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. |
X | ||||
| 3 | To be able to design a thermal and mechanical system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose. |
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| 4 | To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in engineering applications. |
X | ||||
| 5 | To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Mechanical Engineering research topics. |
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| 6 | To be able to work efficiently in Mechanical Engineering disciplinary and multi-disciplinary teams; to be able to work individually. |
X | ||||
| 7 | To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions. |
X | ||||
| 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 engineering solutions. |
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| 9 | To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. |
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| 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. |
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| 11 | To be able to collect data in the area of Mechanical Engineering, and to be able to communicate with colleagues in a foreign language. |
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| 12 | To be able to speak a second foreign language at a medium level of fluency efficiently. |
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| 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 Mechanical Engineering. |
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest