Mechatronics Engineering (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course General Introduction Information

Course Code:

MCH466

Course Name:

Computer Aided Flow and Heat Analysis

Course Semester:

Spring

Course Credits:

ECTS

Language of instruction:

Course Requirement:

Does the Course Require Work Experience?:

Type of course:

Area Ellective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi KÜRŞAT TANRIVER

Course Lecturer(s):

Course Assistants:

Course Purpose and Content

Course Objectives:

To gain the theoretical knowledge and practical application skills to solve various flow and heat transfer problems encountered in engineering with a numerical fluid dynamics package programme.

Course Content:

Introduction to numerical fluid dynamics. General conservation equations. Finite difference method. Finite volume method. Discretisation. Two-dimensional and three-dimensional mesh generation with software programmes. Boundary and initial conditions. Laminar flow properties. Turbulent flow properties. Simple turbulence models. Solution of basic flow and heat transfer problems in laminar and turbulent flow with flow analysis programmes.

Learning Outcomes

The students who have succeeded in this course;
1) To be able to theoretically define problems for different flow and heat transfer situations.
2) To be able to design the geometry of the problems, generate the appropriate mesh and apply the boundary conditions.
3) Selection of solution methods.
4) To be able to solve flow and heat transfer problems with flow analysis programmes.
5) To be able to interpret the solved problems according to the place of use.

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction to numerical fluid dynamics.
2)	General conservation equations.
3)	Introduction of the model building programme.
4)	Mesh generation, Boundary conditions.
5)	Turbulent flow properties.
6)	Turbulence models. Spalart-almaras, k-epsilon, k-omega.
7)	Introduction of flow analysis programmes and solution of basic problem.
8)	Midterm Exam.
9)	Solution of various engineering problems with flow analysis programmes.
10)	Determination of project homework topics.
11)	Modelling of two dimensional flow problems.
12)	Modelling of two dimensional heat transfer problems.
13)	Time dependent flow and heat transfer problems.
14)	Analysing three dimensional flow and heat transfer problems.
15)	Final Exam.

Sources

Course Notes / Textbooks:	Versteeg, H. K. and Malalasekera, W. 1995; An Introduction to Computational Fluid Dynamics, Longman.
References:	Fluent 6.1. User Guides 2003.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Medium	3 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3)	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4)	Ability to devise, select, and use modern techniques and tools needed for analysing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5)	Ability to design and conduct experiments, gather data, analyse and interpret results for investigating complex engineering problems or discipline specific research questions.
6)	Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7)	Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8)	Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9)	Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10)	Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11)	Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions

Learning Activity and Teaching Methods

Anlatım
Beyin fırtınası /Altı şapka
Bireysel çalışma ve ödevi
Course
Grup çalışması ve ödevi
Okuma
Homework
Problem Çözme
Uygulama (Modelleme, Tasarım, Maket, Simülasyon, Deney vs.)

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Uygulama
Bireysel Proje
Grup Projesi
Sunum

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	2	% 20
Midterms	1	% 20
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Aktiviteye Hazırlık	Aktivitede Harçanan Süre	Aktivite Gereksinimi İçin Süre	Workload
Course Hours	14	3			42
Field Work	14	2			28
Presentations / Seminar	14	2			28
Homework Assignments	14	3			42
Midterms	14	1			14
Final	14	1			14
Total Workload					168