GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
APPLIED COMPUTATIONAL FLUID DYNAMICS/5951310
Course Title: APPLIED COMPUTATIONAL FLUID DYNAMICS
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Senol Baskaya
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/baskaya
 -- EMAIL(S) OF LECTURER(S)
  baskaya@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Undersdynamitanding of the importance of the computational fluid cs (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.
Realization of the importance of CFD in R&D work.



 -- MODE OF DELIVERY
  Face to face teaching. Teaching using computers. PC laboratory applications.
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  General conservation laws and boundary conditions.
2. Week  Application of the finite volume method to the equations of fluid mechanics and heat transfer.
3. Week  Numerical approaches, algebraic equations, computational cell structure, application of boundary conditions.
4. Week  Introduction to turbulent flow, turbulent Navier-Stokes equations, characteristics of turbulent flow.
5. Week  Turbulence models and their equations, k-ε turbulence model, boundary conditions.
6. Week  Principles of Computational Fluid Dynamics (CFD), the PHOENICS CFD code.
7. Week  Programs forming PHOENICS, boundary conditions, source terms.
8. Week  Midterm Exam
9. Week  Solution of various engineering problems using PHOENICS.
10. Week  Two and three dimensional heat conduction, forced convection inside a channel.
11. Week  Variable cross section and blocked channel flow.
12. Week  Natural and mixed convection problems.
13. Week  Transient flow and heat transfer.
14. Week  Impinging fluid jets.
15. Week  Problems on cooling of electronic components. Other engineering problems.
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  1. Versteeg, H. K. and Malalasekera, W., “An Introduction to Computational Fluid Dynamics”, Longman, 1995. 2. Patankar, S. V., “Numerical Heat Transfer and Fluid Flow”, McGraw-Hill, 1980.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, question-answer, demostration, drill-practice, solution of a large number of examples.
 -- WORK PLACEMENT(S)
  N.A.
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
0
0
 Exercises
0
0
 Projects
1
30
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
60
 Contribution of Final Examination to Overall Grade  
40
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
10
3
30
 Reading
2
2
4
 Searching in Internet and Library
2
2
4
 Designing and Applying Materials
8
3
24
 Preparing Reports
6
3
18
 Preparing Presentation
6
3
18
 Presentation
1
1
1
 Mid-Term and Studying for Mid-Term
6
4
24
 Final and Studying for Final
6
4
24
 Other
0
 TOTAL WORKLOAD: 
189
 TOTAL WORKLOAD / 25: 
7.56
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of studyX
2Ability to complete and implement “limited or incomplete data” by using the scientific methods.X
3Ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to themX
4Ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or processX
5Gain comprehensive information on modern techniques, methods and their borders which are being applied to engineeringX
6Ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply processX
7Gain high level ability to define the required information and dataX
8Ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situationsX
9Systematic and clear verbal or written transfer of the process and results of studies at national and international environmentsX
10Aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcementX
11Aware of new and developing application of profession and ability to analyze and study on those applicationsX
12Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environmentX