At the end of this course, the students; 1) An ability to solve the heat transfer and fluid flow problems by using numerical methods. 2) An ability to design a system or component to meet desired needs within realistic constraints. 3) An ability to identify, formulate, and solve engineering problems
Application areas of Computational Fluid Dynamics (CFD). Commercial CFD codes. Conservation laws and boundary conditions.. Finite difference method; upwind differencing, backward differencing and central differencing. Linear equation systems and iterative solution of linear equation systems. Convection equation and solution of convection equation by using finite difference method. Convection-diffusion equation. Finite volume method. Interface fluxes, upwind differencing, quadratick upwind differencing. Solution fluid flow problems by using finite volume method: SIMPLE, SIMPLER, SIMPLEC and PISO methods. Grid types and grid generation. Compressible flows. Turbulance models.
COURSE CONTENTS
WEEK
TOPICS
1st Week
1st Week Introduction
2nd Week
2nd Week Conservation Laws and Boundary Conditions
3rd Week
3rd Week Finite Difference Method
4th Week
4th Week Numerical Solution of Linear Equation Systems
5th Week
5th Week Solution of Diffusion Equation by Using Finite Difference Method
6th Week
6th Week Reynolds Transport Theorem and Finite Volume Method
7th Week
7th Week Solution of Diffusion Equation by Using Finite Volume Method(FVM)
8th Week
8th Week Solution of Convection-Diffusion Equation by Using FVM
9th Week
9th Week Interface Fluxes
10th Week
10th Week Solution of Incompressible Flow Problems: SIMPLE, SIMPLER
11th Week
11th Week Solution of Incompressible Flow Problems: SIMPLEC, PIS0
12th Week
12th Week Compressible Flow Problems
13th Week
13th Week Turbulance Models
14th Week
14th Week Types of Grids and Grid Generation Techniques
RECOMENDED OR REQUIRED READING
Versteeg, H. K. ve Malalasekera (1995) An Introduction to Computational Fluid Dynamics, Longman; Patankar, S. (1980) Numerical Heat Transfer and Fluid Flow, McGraw-Hill.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Presentation,Practice
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
25
Assignment
1
10
Quiz
1
20
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 WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
2
2
Preparation for Quiz
14
,5
7
Individual or group work
14
2
28
Preparation for Final exam
14
1
14
Course hours
14
3
42
Preparation for Midterm exam
7
1
7
Laboratory (including preparation)
3
3
9
Final exam
1
2,5
2,5
Homework
6
5
30
Quiz
3
,5
1,5
Total Workload
143
Total Workload / 30
4,76
ECTS Credits of the Course
5
LANGUAGE OF INSTRUCTION
English
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)