COURSE UNIT TITLE

: COMPUTATIONAL HEAT TRANSFER AND FLUID FLOW-II

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MEE 5066 COMPUTATIONAL HEAT TRANSFER AND FLUID FLOW-II 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

PROFESSOR DOCTOR AYTUNÇ EREK

Offered to

THERMODYNAMICS
THERMODYNAMICS
THERMODYNAMICS

Course Objective

This course is aimed to complete required knowledge about the basic concepts of numerical heat transfer. It includes the topics about the solution of coupled equations, encountered in convective heat transfer problems and some special methods used in heat transfer.

Learning Outcomes of the Course Unit

1   to derive all conservation equations included heat flow.
2   to model a thermal system and develop appropriate solution methods.
3   to solve a thermal system using algorithms such as SIMPLE and SIMPLER and derive pressure, velocity and temperature distribution of system.
4   to know other advanced method of numerical analysis.
5   to interpret the obtained numerical results.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Mathematical Description of Physical Phenomena
2 Discretization Methods
3 Methods of Deriving the Discretization Equations
4 Control Volume Formulation
5 Convection and Diffusion
6 Discretization Equation for Two and Three Dimensional Problems
7 Calculation of the Flow Field
8 Staggered Grid and Special Procedure
9 Representation of the Continuity and Momentum Equations
10 The Pressure and Velocity Corrections. SIMPLE Algorithm
11 SIMPLER Algorithm
12 Midterm Exam
13 Perturbation Methods
14 Special Topics on Computational Fluid Dynamics

Recomended or Required Reading

S. V. Patankar, Numerical Heat Transfer and Fluid Flow, Hemisphere Publishing Corparation, McGraw Hill Company, 1983.
R.M. Fletcher, Computational Techniques for Fluid Dynamics, Springer, Volume I-II, 1991.
J. H. Ferziger, M. Peric, Computational Methods for Fluid Dynamics, Springer, 2002.
Handbook of Numerical Heat Transfer, Ed. by W. J. Minkowycz, E. M. Sparrow, G. E. Schneider, R. M. Fletcher, John Wiley and Sons, 1981.
S. C. Chapra, R. P. Canale, Numerical Methods for Engineering, McGraw Hill, 1989.

Planned Learning Activities and Teaching Methods

The learning and teaching methods are class-based lectures and tutorial sessions, and problem-solving exercises.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.25 +ASG * 0.35 +FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 +ASG * 0.35 + RST * 0.40


*** 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

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Dokuz Eylül University
Mechanical Engineering Department (Office number: 233)
Tınaztepe-Buca, Izmir

Office Hours

Thursday 13.00-15.00
Friday 13.00-15.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 4 52
Preparing assignments 10 7 70
Preparation for midterm exam 1 12 12
Preparation for final exam 1 15 15
Design Project 1 12 12
Midterm 1 3 3
Final 1 4 4
TOTAL WORKLOAD (hours) 207

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.15545
LO.25545
LO.35545
LO.45545
LO.55545

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

HOME / ABOUT US / DEGREE PROGRAMMES / GENERAL INFORMATION FOR STUDENTS / INTERNATIONAL RELATIONS