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 Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Experiment.
Course Coordinator
Course Lecturer(s)
Course Assistants
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;
  • 1. Understanding of the importance of the computational fluid dynamics (CFD) method in engineering problem solving and new product design. 2. Formation of basic CFD principles. 3. Evaluation of CFD application areas. 4. Knowing the position of commercial CFD programs. 5. Understanding of limitations in CFD applications.
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 X
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
1 2 3 4 5
1 Ability to carry out advanced research activities, both individual and as a member of a team X
2 Ability to evaluate research topics and comment with scientific reasoning X
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics X
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions X
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems X
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level X
7 Contribute scientific and technological advancements on engineering domain of his/her interest area X
8 Contribute industrial and scientific advancements to improve the society through research activities X

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