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FACULTY of ENGINEERING / DEPARTMENT of MECHANICAL ENGINEERING /
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MM3019Computer Aided Flow Analysis3+0+0ECTS:4
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of MECHANICAL ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Yücel ÖZMEN
Co-LecturerNone
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
To teach theoretical knowledge and practical application ability for realization of solutions for various fluid flow and heat transfer problems encountered in engineering with a computational fluid dynamics code.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : define the problems for various fluid flow and heat transfer situations theoretically. 1,21,
LO - 2 : design the problem geometries, generate suitable grid, apply boundary conditions. 1,21,
LO - 3 : choose the solution methods. 1,21,
LO - 4 : solve the fluid flow and heat transfer problems with FLUENT code. 1,21,
LO - 5 : interpret the results of the solved problems. 1,21,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Introduction to computational fluid dynamics. Governing equations. Finite difference model. Discretization. 2D and 3D grid generation with GAMBIT commerical package. Boundary and initial conditions. Properties of laminar flows. Properties of turbulent flows. Basic turbulence models. FLUENT. Solution of basic fluid flow and heat transfer problems with FLUENT commercal package.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction to computational fluid dynamics.
 Week 2Governing equations.
 Week 3Information about GAMBIT.
 Week 4Grid generation. Boundary conditions.
 Week 5Properties of turbulent flows.
 Week 6Turbulence models. Spalart-almaras, k-epsilon, k-omega
 Week 7FLUENT commerical package.
 Week 8Solution of some engineering problems with FLUENT.
 Week 9Mid-term exam
 Week 10Defining of project subjects.
 Week 11Modelling of 2D flow problems.
 Week 12Modelling of 2D heat transfer problems.
 Week 13Time dependent flow and heat transfer problems.
 Week 14Anaysis of 3D flow and heat transfer problems.
 Week 15Advanced turbulence models. Large Eddy Simulation (LES), Deteched Eddy Simulaton (DES).
 Week 16End-of-term exam
 
Textbook / Material
1Versteeg, H. K. and Malalasekera, W. 1995; An Introduction to Computational Fluid Dynamics, Longman.
2Fluent 6.1. User Guides 2003.
 
Recommended Reading
1Patankar, S.V. 1980; Numerical Heat Transfer and Fluid flow, McGraw-Hill.
2Shaw, C.T. 1992; Using Computational Fluid Dynamics, Prentice Hall.
3Roache, P.J. 1998; Fundamentals of Computational Fluid Dynamics, Hermosa.
4Wendt, J.F. 1996; Computational Fluid Dynamics, An Introduction, Springer.
5Hoffmann, K.A. 1989; Computational Fluid Dynamics for Engineer, EES.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 27.11.2023 2 50
End-of-term exam 16 19.01.2024 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 2 14 28
Arasınav için hazırlık 2 8 16
Arasınav 2 1 2
Proje 3 6 18
Dönem sonu sınavı için hazırlık 3 4 12
Dönem sonu sınavı 2 1 2
Total work load120