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Course Information
Course Unit Title : Numerical Methods in Fluid Mechanics
Course Unit Code : 01MAK5133
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : Preb
Semester : 255.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants : ---
Learning Outcomes of The Course Unit : 1) an ability to use knowledge of mathematics, science and engineering
2) an ability to design and conduct experiments as well as to analyze and interpret data
3) an ability to function on multidisciplinary teams
4) an ability to identify, formulate and solve engineering problems
5) an understanding of professional and ethical responsibility
6) an ability to communicate effectively
7) an ability to use the techniques and modern engineering tools necessary for engineering practice.
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Engineering problems involve the evaluation of temperatures, pressures, velocities, stresses or other variables as functions of spatial coordinates and time.
Languages of Instruction : Turkish
Course Goals : This course will be helping to our students in engineering heat and fluid problems.
Course Aims : Temperatures, Fluids Velocities, and Stresses in Fluid Mechanics are calculated by numerical methods for a particular engineering problems. This course will be learned these.
WorkPlacement   Not Available
Recommended or Required Reading
Textbook :
Additional Resources : 1- Suhas V. Patankar, Numerical Heat Transfer and Fluid Flow, 1980. 2- Paul E. Allaire, Basics of Finite Element Method, Solid Mechanics, Heat Transfer, and Fluid Mechanics, 1985.
Material Sharing
Documents :
Assignments :
Exams :
Additional Material :
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
13 3 39  
Time Of Studying Out Of Class :
13 5 65  
Homeworks :
10 5 50  
Presentation :
5 1 5  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 10 10  
Finals :
1 10 10  
Workload Hour (30) :
30  
Total Work Charge / Hour :
179  
Course's ECTS Credit :
6      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 70
Quiz :
12 10
Homework :
5 15
Attendance :
0 5
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
50
The ratio of final to success :
50
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Introduction
 
2 Mathematical Description of Physical Phenomena: Governing Differantial Equations a- Meaning of Differantial Equation b- Conservation of a Chemical Species
 
3 Mathematical Description of Physical Phenomena: Governing Differantial Equations c- The Energy Equation d- The Time-Averaged Equations for Turbulent Flow
 
4 Mathematical Description of Physical Phenomena: Governing Differantial Equations e- The Turbulent-Kinetic- Energy Equation f- The General Differential Equation
 
5 Discretization Methods. The Nature of Numerical Methods a- The Task b- The Discretization Concept c- The Structure of the Discretization Equation
 
6 Discretization Methods. Methods of Deriving the Discretization Equations a- Taylor Series Formulation b- Variational Formulation
 
7 Discretization Methods. Methods of Deriving the Discretization Equations c- Method of Weighted Residuals d- Control-Volume Formulation
 
8 Discretization Methods: An Illustrative Example, The Four Basic Rules.
 
9 Mid-therm Exam
 
10 Calculation of The Flow Field
 
11 Calculation of The Flow Field: a- Need for a Special Procedure
 
12 Calculation of The Flow Field: b- Some related Difficulties
 
13 Calculation of The Flow Field: c- The SIMPLE Algorithm
 
14 Calculation of The Flow Field: d- A Revised Algorithm: SIMPLER