Course Name : Numerical Methods in Heat Transfer and Fluid Flow

Degree: Master of Science

Code

Year/Semester

Local Credits

ECTS Credits

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

MECH 504

2/4 (Spring)

3

5

3

Department

GRADUATE SCHOOL OF SCIENCE AND ENGINEERING

Master of Science in Naval Architecture and Marine Engineering

Instructors

Asst. Prof. Mehmet Turgay Pamuk

Contact Information

mtpamuk@pirireis.edu.tr

Office Hours

Web page

Course Type

 Compulsory

Course Language

English

Course Prerequisites

  ENG 221, ENG 321

Course Category by Content, %

Basic Sciences

Engineering Science

Engineering Design

Humanities

30

50

20

0

Course Description

This course focuses on the fundamentals of numerical analysis of thermo-fluid dynamics. Firstly the governing equations of thermo-fluid dynamics, which express the conservation of mass, momentum, and energy, are presented. Secondly the discretization of governing equations, numerical solving method of discretized equations, and the numerical errors in numerical analysis are explained. Finally the numerical simulation on the simple steady flow is conducted as an exercise.

Course Objectives

Computational fluid dynamics (CFD) is widely used for designing the energy conversion systems such as internal combustion engines, turbo-chargers. We need to understand the principles of numerical simulation of thermo-fluid dynamics and apply the numerical analysis to the actual systems for the validation of the computed results by CFD and developing the new models of thermo-fluid phenomena. In this course, the processes of numerical analysis of heat transfer and fluid flow are explained with examples of analysis in the simple field. By combining lectures and exercises, the course enables students to understand and acquire the fundamentals of numerical analysis of thermo-fluid dynamics widely applicable to analysis of energy conversion systems.

Course Learning Outcomes

By the end of this course, students will be able to:

1. Explain the physical meaning of governing equations of heat transfer and fluid flow.
2. Discretize the governing equations.
3. Explain the methods for solving the discretized governing equations

Instructional Methods and Techniques

Discourse, discussion, presentation.

Tutorial Place

Class room

Co-term Condition

Textbook

Numerical Heat Transfer and fluid flow, Patankar, S. V., Hemisphere Publishing Co., 1980

Other References

Computational Fluid Mechanics and Heat Transfer, Richard H. Pletcher, John C. Tannehill, Dale A. Anderson: 3rd edition, CRC Press, Boca Raton, 2013

Homework & Projects

Homework and projects assignments will be given

Laboratory Work

None

Computer Use

As necessary

Other Activities

Assessment Criteria

Activities

Quantity

Effects on Grading, %

Attendance

Midterm

1

30

Quiz

Homework

1

                     10

Term Paper/Project

1

10

Laboratory Work

Practices

Tutorial

Seminar

Presentation

Field Study

Final Exam

1

50

TOTAL

%100

Effects of Midterm on Grading, %

%50

Effects of Final on Grading, %

%50

TOTAL

%100

ECTS/

WORKLOAD TABLE

Activities

Count

Hours

Total

Workload

Lecture

13

3

39

Midterm

1

10

10

Quiz

Homework

Term Paper/Project

Laboratory Work

Practices

60

1

60

Tutorial

Seminar

Presentation

Field Study

Final Exam

1

15

15

Total Workload

124

Total Workload/25

124/25

Course ECTS Credits

5

Week

Topics

Course Outcomes

1

Introduction: Governing equations of heat transfer and fluid flow

I

2

Mathematical Description of Physical Phenomena

I

3

Derivation of Fourier equation and Navier-Stokes  equations

I

4

Discretization Methods: Discretization  of governing equations

II

5

Numerical analysis of heat transfer

II

6

Heat Conduction

II

7

Midterm

8

Convection and diffusion; upwind difference method, exponential method, stability of  solution

III

9

Numerical  analysis of fluid flow; analysis  of  incompressible fluid flow, discretization with staggered grid

III

10

Calculation of Flow Field

III

11

Calculation of Flow Field; SIMPLE and SIMPLER algorithms

III

12

Finishing Touches and Special Topics

III

13

Illustrative Applications

III

14

General Overview

I-II-III

Program Outcomes

Level of Contribution

1

2

3

a

An ability to apply knowledge of mathematics, science, and engineering

X

b

An  ability to design and conduct experiments, as well as to analyze and interpret data

X

c

An ability to design a system, component or process to meet desired needs

X

d

Ability to function on multi-disciplinary teams

X

e

An ability to identify, formulate, and solve engineering problems

X

f

An understanding of professional and ethical responsibility

X

g

An ability to communicate effectively

X

h

The broad education necessary to understand the impact of engineering solutions in a global and societal context

X

i

A recognition of the need for, and an ability to engage in life-long learning

X

j

A knowledge of contemporary issues

X

k

An ability to use the techniques, skills and modern engineering tools necessary for engineering practice

X

l

An ability to apply legal, societal and environmental knowlegde in maritime transport and in all respective modes of transport operations.

X

m

An ability to interpret and analysis of the data regarding maritime management and operations, recognition and solution of problems for decision making process.

X

Course

I

II

III

Outcomes

Programme Outcomes

a

x

b

x

c

x

d

x

e

x

f

g

x

h

x

i

j

x

k

x

l

Prepared by

Asst. Prof. Dr. Mehmet Turgay Pamuk

Date

16-01-2018

Signature