At the end of this course, the students; 1) Ability to apply knowledge of mathematics, science, and engineering 2) Ability to identify, formulate, and solve engineering problems
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
This course is to give knowledge on fundamentals of computational fluid dynamics, high performance computation, fundamental fluid models, grid design, discritization techniques, linear and non-linear system analysis, algorithm development, turbulence modeling and combustion modeling
COURSE CONTENTS
WEEK
TOPICS
1st Week
Introduction
2nd Week
Fundamentals of computational fluid mechanics
3rd Week
Equation types
4th Week
Fundamental equations
5th Week
Fundamental equations
6th Week
Grid design
7th Week
Grid design
8th Week
Discritization techniques
9th Week
Discritization techniques
10th Week
Linear and non-linear system analysis
11th Week
Convective and conductive systems
12th Week
Turbulence modeling
13th Week
Combustion modeling
14th Week
Applications
RECOMENDED OR REQUIRED READING
ANDERSON J., Computational Fluid Dynamics, McGraw-Hill, 1995 VERSTEEG H., MALALASEKERA W., An Introduction to Computational Fluid Dynamics, Prentice Hall, FERZIGER J.H., PERIC M., Computational Methods for Fluid Dynamics, Springer Verlag, 2002 CHUNG T.J., Computational Fluid Dynamics, Cambridge University Press, 2002 LÖHNER R., Applied Computational Fluid Dynamic Techniques : An Introduction Based on Finite Element Methods, John Wiley and Sons, 2008
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Questions/Answers,Problem Solving
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
35
Assignment
5
15
Other
1
10
Total(%)
60
Contribution of In-term Studies to Overall Grade(%)
60
Contribution of Final Examination to Overall Grade(%)
40
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
3
3
Preparation for Quiz
Individual or group work
14
3
42
Preparation for Final exam
1
40
40
Course hours
14
3
42
Preparation for Midterm exam
1
30
30
Laboratory (including preparation)
Final exam
1
3
3
Homework
5
20
100
Take-home
1
40
40
Total Workload
300
Total Workload / 30
10
ECTS Credits of the Course
10
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)