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 |
|---|---|---|---|---|---|---|---|
| Introduction to Computational Fluid Dynamics | ME437 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| AE307 |
| Course Language | English |
|---|---|
| Course Type | Technical 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) |
|
| 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;
|
| 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 |
|---|---|---|
| 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 |
|---|---|
| 2. Patankar, S. V., “Numerical Heat Transfer and Fluid Flow”, McGraw-Hill, 1980. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| 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 | |
|---|---|
| Percentage of Final Work | 100 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | X |
| 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 | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Gains sufficient knowledge in subjects specific to mathematics, natural sciences, and engineering disciplines; gains the ability to use theoretical and applied knowledge in these fields to solve complex engineering problems. | X | ||||
| 2 | Defines, formulates, and solves complex engineering problems; selects and applies appropriate analysis and modeling methods for this purpose. | X | ||||
| 3 | Designs a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements; applies modern design methods. | X | ||||
| 4 | Selects and uses modern techniques and tools necessary for analyzing and solving complex problems encountered in engineering applications; gains the ability to use information technologies effectively. | X | ||||
| 5 | Designs experiments, conducts experiments, collects data, and analyzes and interprets the results for studying complex engineering problems or research topics specific to engineering disciplines. | X | ||||
| 6 | Works effectively in both disciplinary and multidisciplinary teams; gains the ability to work individually. | |||||
| 7 | Develops effective oral and written communication skills; acquires proficiency in at least one foreign language; writes effective reports and understands written reports, prepares design and production reports, delivers effective presentations, and gives and receives clear and understandable instructions. | X | ||||
| 8 | Develops awareness of the necessity of lifelong learning; gains access to information, follows developments in science and technology, and continuously renews oneself. | |||||
| 9 | Acts in accordance with ethical principles, takes professional and ethical responsibility, and possesses knowledge of standards used in engineering applications. | |||||
| 10 | Gains knowledge of business practices such as project management, risk management, and change management; develops awareness of entrepreneurship and innovation; possesses knowledge of sustainable development. | |||||
| 11 | Gains knowledge of the impacts of engineering applications on health, environment, and safety in universal and societal dimensions, and the issues reflected in contemporary engineering fields; develops awareness of the legal consequences of engineering solutions. | |||||
| 12 | Gains the ability to work in both thermal and mechanical systems fields, including the design and implementation of such systems. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| 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 | ||