FACULTY OF ENGINEERING
Department of Mechatronics Engineering
MCE 423 | Course Introduction and Application Information
| Course Name |
Introduction to Computational Fluid Dynamics
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
MCE 423
|
Fall/Spring
|
2
|
2
|
3
|
5
|
| Prerequisites |
None
|
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| Course Language |
English
|
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| Course Type |
Service Course
|
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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 element, . . . ) 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 | The governing equations, Finite Difference Methods, Incompressible viscous flows, Compressible flows, Introduction to finite element methods, Automatic Grid Generation, Adaptive Methods and Computing Techniques: Structured grid generation, Applications to turbulence and Applications to acoustics |
|
|
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 | Introduction and governing equations | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.1,2 |
| 2 | Finite Difference Methods, derivations and solutions | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.3,4 |
| 3 | Incompressible viscous flows via finite difference methods | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.5 |
| 4 | Compressible flows via finite difference methods | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.6,7 |
| 5 | Introduction to finite element methods, Finite element interpolation functions | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.8,9 |
| 6 | Linear problems, Nonlinear problems/convection-dominated flows | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.10,11 |
| 7 | Incompressible viscous flows via finite element methods | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.12 |
| 8 | Compressible flows via finite element methods | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.13 |
| 9 | Relationships between finite differences and finite elements and other methods | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.16 |
| 10 | Automatic Grid Generation, Adaptive Methods and Computing Techniques: Structured grid generation | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.17 |
| 11 | Automatic Grid Generation, Adaptive Methods and Computing Techniques: Unstructured grid generation | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.18 |
| 12 | Automatic Grid Generation, Adaptive Methods and Computing Techniques: Adaptive methods | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.19 |
| 13 | Automatic Grid Generation, Adaptive Methods and Computing Techniques: Computing techniques | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.20 |
| 14 | Applications to turbulence | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.21 |
| 15 | Applications to acoustics | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Section.23 |
| 16 | Review of the Semester |
| Course Notes/Textbooks | Computational Fluid Dynamics, 2014, 2nd Edition, T. J. Chung, Cambridge university press |
| Suggested Readings/Materials |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application |
5
|
20
|
| Field Work | ||
| Quizzes / Studio Critiques |
2
|
10
|
| Portfolio | ||
| Homework / Assignments |
5
|
10
|
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
25
|
| Final Exam |
1
|
35
|
| Total |
| Weighting of Semester Activities on the Final Grade |
13
|
65
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
35
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
4
|
64
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
16
|
2
|
32
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
2
|
2
|
4
|
| Portfolio |
0
|
||
| Homework / Assignments |
5
|
4
|
20
|
| Presentation / Jury |
0
|
||
| Project |
0
|
||
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
10
|
10
|
| Final Exam |
1
|
20
|
20
|
| Total |
150
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | To have knowledge in Mathematics, science, physics knowledge based on mathematics; mathematics with multiple variables, differential equations, statistics, optimization and linear algebra; to be able to use theoretical and applied knowledge in complex engineering problems |
X | ||||
| 2 | To be able to identify, define, formulate, and solve complex mechatronics engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose. |
X | ||||
| 3 | To be able to design a complex electromechanical system, process, device or product with sensor, actuator, control, hardware, and software to meet specific requirements under realistic constraints and conditions; to be able to apply modern design methods for this purpose. |
X | ||||
| 4 | To be able to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; to be able to use information technologies effectively. |
X | ||||
| 5 | To be able to design, conduct experiments, collect data, analyze and interpret results for investigating Mechatronics Engineering problems. |
X | ||||
| 6 | To be able to work effectively in Mechatronics Engineering disciplinary and multidisciplinary teams; to be able to work individually. |
X | ||||
| 7 | To be able to communicate effectively in Turkish, both in oral and written forms; 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; information on standards used 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 | Using a foreign language, he collects information about Mechatronics Engineering and communicates with his colleagues. ("European Language Portfolio Global Scale", Level B1) |
X | ||||
| 12 | To be able to use the second foreign language at intermediate level. |
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| 13 | To recognize the need for lifelong learning; to be able to access information; to be able to follow developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechatronics Engineering. |
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
