GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
COMPUTATIONAL FLUID DYNAMICS/ME475
Course Title: COMPUTATIONAL FLUID DYNAMICS
Credits 3 ECTS 5
Course Semester 7 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  English
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Understanding of the importance of the computational fluid dynamics (CFD) method in engineering problem solving and new product design.
Formation of basic CFD principles.
Evaluation of CFD application areas.
Knowing the position of commercial CFD programs.
Understanding of limitations in CFD applications.
 -- MODE OF DELIVERY
  Face to face teaching. Teaching using computers. PC laboratory applications.
 --WEEKLY SCHEDULE
1. Week  INTRODUCTION: Importance of computational fluid dynamics (CFD), General view on problem definition and problem solving in fluid dynamics and heat tran
2. Week  COMMERCIAL CFD CODES: How do CFD codes work, Finite volume method, Grid geometry.
3. Week  EXAMPLE 1: 1-dimensional heat conduction, Solution file and solution procedure.
4. Week  DISCRETIZATION PROCEDURE WITH THE FINITE VOLUME METHOD: 1-dimensional heat conduction, Boundary conditions and source term expressions.
5. Week  Boundary source linearization, General rules for the discretization of equations.
6. Week  NUMERICAL EXACT SOLUTION OF THE 1-DIMENSIONAL HEAT CONDUCTION PROBLEM: Formulation of governing equations, Formulation of the algebraic equations
7. Week  NUMERICAL EXACT SOLUTION OF THE 1-DIMENSIONAL HEAT CONDUCTION PROBLEM: Formulation of governing equations, Formulation of the algebraic equations
8. Week  Interior cells, boundary cells, Numeric solution using algebraic equations.
9. Week  EXAMPLE 2: Laminar flow in a sudden expansion channel, Solution file and solution procedure.
10. Week  OTHER CFD METHOD SUBJECTS: Variable cell distributions, Blocking inside the computational domain.
11. Week  Relaxation, Convergence and restart, Control of accuracy and validity of CFD solutions.
12. Week  EXAMPLE 3: Transient natural convection, Solution file and solution procedure.
13. Week  Additional laboratory applications with PHOENICS.
14. Week  Additional laboratory applications with FloEFD.
15. Week  Final
16. Week  Final
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
0
0
 Application
0
0
 Projects
1
30
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
12
2
24
 Searching in Internet and Library
12
2
24
 Material Design and Implementation
7
3
21
 Report Preparing
3
1
3
 Preparing a Presentation
2
1
2
 Presentation
1
1
1
 Midterm Exam and Preperation for Midterm Exam
2
2
4
 Final Exam and Preperation for Final Exam
2
2
4
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
125
 TOTAL WORKLOAD / 25: 
5
 Course Credit (ECTS): 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledgein these areas in complex engineering problems.X
2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.X
3Ability 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.X
4Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.X
5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.X
7Ability 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.X
8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.X
9Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.X
10Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.X
11Knowledge 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.X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Şenol BAŞKAYA)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/baskaya)
 -- EMAIL(S) OF LECTURER(S)
   (baskaya@gazi.edu.tr)