COURSE UNIT TITLE

: COMPUTATIONAL FLUID DYNAMICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MEE 5074 COMPUTATIONAL FLUID DYNAMICS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MEHMET AKIF EZAN

Offered to

THERMODYNAMICS
THERMODYNAMICS
THERMODYNAMICS

Course Objective

The widespread availability of engineering work stations together with efficient solution algorithms enable the use of commercial CFD codes by graduate engineers for academic research and design tasks in industry. The ready to use codes that are on the market may be extremely powerful but their operation still requires a high level of understanding in numerical methods for obtaining meaningful results in complex situations.

Learning Outcomes of the Course Unit

1   Ability to understand turbulence models.
2   Ability to solve finite volume problems.
3   .Ability to solve discretised equation problems.
4   Ability to imply boundary condition and solve its problem.
5   . Ability to solve algorithms problems in steady flows.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 ntroduction, conservation laws of fluid motion and boundary conditions
2 Turbulence
3 Turbulence models
4 The finite volume method for diffusion problems
5 The finite volume method for convection-diffusion problems
6 midterm1
7 The upwind differencing, and higher order differencing schemes for convection-diffusion problems
8 Solution algorithms for pressure-velocity coupling in steady flows
9 Solution of discretised equations
10 The finite volume method for unsteady flows
11 Discretisation of transient convection-diffusion equations
12 midterm2
13 Implimentation of boundary conditions
14 Boundary conditions related to pressure, symmetry, and periodic boundary conditions

Recomended or Required Reading


Textbook: Versteeg, H.K., and Malalasekera, W., Computaional Fluid Dynamics (The Finite Volume Approach)
Prentice Hall,Pearson Education Limited, 1995.


Referans book(s):

1.Patankar, S. V., Numerical Heat Transfer and Fluid Flow, Hemisphere Publishing Corporation, New York, 1980.
2.James, M.L., Smith, G.M., Wolford,J.C., Apllied Numerical Methods for Digital Computations, Harper Collings Publisher, 1992.
3.Roache, P. J., Computational Fluid Dynamics, Hermosa Publishers, 1976.
4.Ferziger, J. H. and Peric, M.: Computational methods for fluid dynamics , 3rd ed. Springer, New York 2002 ISBN/ISSN 3540420746 (Primary Text)

Planned Learning Activities and Teaching Methods

To solve project problems given as assignments, handouts.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 PAR PARTICIPATION
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE ASG * 0.40 +PAR * 0.10 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.40 +PAR * 0.10 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

mehmet.ezan@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparing assignments 5 20 100
Preparation for midterm exam 2 15 30
Preparation for final exam 1 20 20
Midterm 2 3 6
Final 1 3 3
TOTAL WORKLOAD (hours) 195

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.155555
LO.255555
LO.355555
LO.455555
LO.555555