ECTS - Introduction to Computational Fluid Dynamics
Introduction to Computational Fluid Dynamics (ME437) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Introduction to Computational Fluid Dynamics | ME437 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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AE307 |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Demonstration, Experiment. |
Course Lecturer(s) |
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Course Objectives | To introduce Computational Fluid Dynamics (CFD) as a tool for solution of fluid dynamics problems. To familiarize students with different methods used in solving computational fluid dynamics problems such as finite differences, finite elements and finite volumes. To teach concepts such as boundary and initial conditions, numerical accuracy, consistency and stability. To enable students to conduct an independent project on a related topic. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Hesaplamalı akışkanlar mekaniğine giriş, akışkanlar mekaniğinin temel denklemleri, temel hesaplamalı teknikler, sayısal şemaların özellikleri, sonlu farklar yöntemi, sonlu elemanlar yöntemi, denklem sistemlerinin çözüm yöntemleri, ağ (mesh) oluşturma. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction | |
2 | Commercial CFD Codes | |
3 | 1-Dimensional Heat Conduction, Solution File and Solution Procedure. | |
4 | Discretization Procedure With The Finite Volume Method: 1-Dimensional Heat Conduction, Boundary Conditions And Source Term Expressions. | |
5 | Boundary Source Linearization, General Rules For The Discretization Of Equations. | |
6 | Numerical Exact Solution Of The 1-Dimensional Heat Conduction Problem: Formulation of Governing Equations, Formulation Of The Algebraic Equations Usin | |
7 | Interior Cells, Boundary Cells, Numeric Solution Using Algebraic Equations. | |
8 | Laminar Flow İn A Sudden Expansion Channel, Solution File And Solution Procedure. | |
9 | Other Cfd Method Subjects: Variable Cell Distributions, Blocking İnside The Computational Domain. | |
10 | Relaxation, Convergence And Restart, Control Of Accuracy And Validity Of Cfd Solutions. | |
11 | Transient Natural Convection, Solution File And Solution Procedure. | |
12 | Application | |
13 | Application | |
14 | Application |
Sources
Course Book | 1. Versteeg, H. K. and Malalasekera, W., “An Introduction to Computational Fluid Dynamics”, Longman, 1995 |
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2. Patankar, S. V., “Numerical Heat Transfer and Fluid Flow”, McGraw-Hill, 1980. |
Evaluation System
Requirements | Number | Percentage of Grade |
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Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 5 | 15 |
Presentation | - | - |
Project | 1 | 15 |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 2 | 30 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 9 | 100 |
Percentage of Semester Work | |
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Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Adequate knowledge in mathematics, science and subjects specific to the aerospace engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. | |||||
2 | The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. | |||||
3 | The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. | |||||
4 | The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in aerospace engineering applications; the ability to utilize information technologies effectively. | |||||
5 | The ability to design experiments and their setups, to make experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the aerospace engineering discipline. | |||||
6 | The ability to work effectively in inter/inner disciplinary teams; ability to work individually. | |||||
7 | Effective oral and written communication skills in Turkish; the knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |||||
8 | Recognition of the need for lifelong learning; the ability to access information and follow recent developments in science and technology with continuous self-development | |||||
9 | The ability to behave according to ethical principles, awareness of professional and ethical responsibility; knowledge of the standards utilized in aerospace engineering applications. | |||||
10 | Knowledge on business practices such as project management, risk management and change management; awareness about entrepreneurship, innovation; knowledge on sustainable development. | |||||
11 | Knowledge on the effects of aerospace engineering applications on the universal and social dimensions of health, environment and safety; awareness of the legal consequences of engineering solutions. | |||||
12 | Knowledge on aerodynamics, materials used in aerospace engineering, structures, propulsion, flight mechanics, stability and control, and an ability to apply these on aerospace engineering problems. | |||||
13 | Knowledge on orbit mechanics, position determination, telecommunication, space structures and rocket propulsion. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | 14 | 3 | 42 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 14 | 2 | 28 |
Presentation/Seminar Prepration | |||
Project | 1 | 20 | 20 |
Report | |||
Homework Assignments | 5 | 3 | 15 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 2 | 15 | 30 |
Prepration of Final Exams/Final Jury | 1 | 20 | 20 |
Total Workload | 155 |