1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
  3. MECHANICAL ENGINEERING DEPARTMENT
  4. 1111 Mechanical Engineering
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MAK 533COMPUTATIONAL FLUID DYNAMICS3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective Understand how to model fluid flow problems and to solve them numerically with apptopriate boundary and initial conditions.
Course Content • Introduction to the Computational Fluid Dynamics (CFD). • Conservation laws in integral and differential forms and their initial/boundary conditions. • Turbulent flow and its models. • Discretization of differential equations by finite volume and difference methods. • The Finite Volume Methods for diffusion equations. • Iterative solution techniques. • The Finite Volume Method for convective-diffusive phenomena. • Treatments for pressure in momentum conservation equations of fluid flow o Pressure-velocity coupling, o Pressure equation. • Direct solution techniques of governing equations. • Boundary and initial conditions of compressible and incompressible flows.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Students pursuing the course will be able to • Model fluid flow problems, • Learn how to classify and discretize partial differential equations, • Learn imposing correct boundary conditions of fluid dynamics numerically, • Learn iterative solution techniques of linear and non-linear algebraic equations, • Learn turbulence modeling.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 00155231255531555
Sub Total55231255531555
Contribution55231255531555

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14570
Assignments14040
Final examination14343
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1MEHMET ORHAN
Details 2022-2023 Spring1MEHMET ORHAN
Details 2021-2022 Spring1MEHMET ORHAN
Details 2018-2019 Spring1MEHMET ORHAN
Details 2017-2018 Fall1MEHMET ORHAN
Details 2014-2015 Spring1MEHMET ORHAN
Details 2013-2014 Spring1MEHMET ORHAN
Details 2012-2013 Spring1OKYAR KAYA
Details 2012-2013 Fall1MEHMET ORHAN
Details 2010-2011 Spring1MEHMET ORHAN


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MAK 533 COMPUTATIONAL FLUID DYNAMICS 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. MEHMET ORHAN morhan@pau.edu.tr MUH A0297 MUH BA0114 %60
Goals Understand how to model fluid flow problems and to solve them numerically with apptopriate boundary and initial conditions.
Content • Introduction to the Computational Fluid Dynamics (CFD). • Conservation laws in integral and differential forms and their initial/boundary conditions. • Turbulent flow and its models. • Discretization of differential equations by finite volume and difference methods. • The Finite Volume Methods for diffusion equations. • Iterative solution techniques. • The Finite Volume Method for convective-diffusive phenomena. • Treatments for pressure in momentum conservation equations of fluid flow o Pressure-velocity coupling, o Pressure equation. • Direct solution techniques of governing equations. • Boundary and initial conditions of compressible and incompressible flows.
Topics
WeeksTopics
1 Governing equations of fluid flow and heat transfer
2 Classification of equations of mathematical physics
3 Boundary conditions
4 Discretization methods
5 Heat conductiom
6 Iterative solution techniques of algebraic equations
7 Convection and diffusion, Biasing methods
8 Calculation of flow field by explicit schemes
9 Calculation of flow field by implicit schemes
10 Calculation of flow field by implicit schemes
11 Calculation of flow field by semi implicit schemes, SIMPLE
12 Iterative solution techniques of non-linear algebraic equations
13 Acceleration techniques
14 Artificial compressibility methods, Immersed boundary techniques
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes