Information Package

Master's of Energy Engineering with Thesis

ENE512

COMPUTATIONAL FLUID MECHANICS

Course Code
ENE512
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

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 DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThis course is to give knowledge on fundamentals of computational fluid mechanics, 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
Recommended or Required ReadingANDERSON 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
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Assignment 1 10
Quiz 1 10
Attendance 1 5
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 4 2 8
Individual or group work 14 2 28
Preparation for Final exam 6 3 18
Course hours 14 3 42
Preparation for Midterm exam 7 3 21
Laboratory (including preparation)
Final exam 1 3 3
Homework 5 30 150
Presentation (including preperation) 1 30 30
Quiz 4 2 8
Total Work Load310
Total Work Load / 30 (h)10.33
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2
K1 X X
K2
K3 X
K4
K5 X
K6
K7
K8
K9
K10
K11