GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
COMPUTATIONAL FLUID DYNAMICS/MM475
Course Title: COMPUTATIONAL FLUID DYNAMICS
Credits 3 ECTS 3
Semester 7 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Dr. Şenol BAŞKAYA
 -- 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
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.
 -- 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  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 usin
7. Week  MIDTERM EXAM
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  LABORATORY EXAM
14. Week  Additional laboratory applications.
15. Week  Additional laboratory applications.
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
5
2
10
 Reading
0
 Searching in Internet and Library
0
 Designing and Applying Materials
8
1
8
 Preparing Reports
4
1
4
 Preparing Presentation
2
2
4
 Presentation
1
1
1
 Mid-Term and Studying for Mid-Term
3
1
3
 Final and Studying for Final
2
4
8
 Other
0
 TOTAL WORKLOAD: 
80
 TOTAL WORKLOAD / 25: 
3.2
 ECTS: 
3
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.X
2Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situationsX
3Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.X
4Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologiesX
5Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions
6Ability of identifying the potential resources for information or knowledge regarding a given engineering issueX
7The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidenceX
8Ability for effective oral and official communication skills in Turkish Language and, at minimum, one foreign languageX
9Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technologyX
10Engineering graduates with well-structured responsibilities in profession and ethicsX
11Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issuesX
12Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanityX