FACULTY OF ENGINEERING

Department of Aerospace Engineering

AE 419 | Course Introduction and Application Information

Course Name
Introduction to CFD
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
AE 419
Fall/Spring
3
0
3
5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives This course aims to present the basic principles of computational fluid mechanics, to provide common methods used in basis analysis stages.
Learning Outcomes The students who succeeded in this course;
  • Be able to understand the whole aspects of CFD,
  • Be able to define fundamental equations of fluid mechanics,
  • Be able to do describe numerical methods especially finite volume method,
  • Be able to define solution algorithms related to CFD,
  • Be able to discuss definition of turbulence,
Course Description Introduction to CFD course provides important tools in understanding of simulating the fluid flow. The course provides basic information about fluid mechanics, heat transfer, and numerical methods

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Governing equations of fluid flow and heat transfer H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
2 Governing equations of fluid flow and heat transfer H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
3 Classification method for simple PDE, classification of fluid flow equations H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
4 Classification method for simple PDE, classification of fluid flow equations H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
5 Solution algorithms for pressure-velocity coupling in steady-state condition H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
6 Solution algorithms for pressure-velocity coupling in steady-state condition,, The finite volume method for diffusion problems, the finite volume method for two and three dimensional diffusion problems H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
7 Project I
8 The finite volume method for convection-diffusion problems H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
9 Solution algorithms for pressure-velocity coupling in steady flows, H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
10 Point-based iteration methods, multi-mesh structure H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
11 The finite volume method for unsteady flows,, Solution of discretizated equations, the TDMA,, Point-iterative methods, Multigrid techniques H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
12 Turbulent flow calculations, Reynolds-averaged Navier-Stokes equations and classical turbulence models H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
13 Turbulent flow calculations, Reynolds-averaged Navier-Stokes equations and classical turbulence models H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
14 Turbulent flow calculations, Reynolds-averaged Navier-Stokes equations and classical turbulence models H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
15 Review of the lecture H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007
16 Review of the lecture H K VERSTEEG AND W MALALASEKERA; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007

 

Course Notes/Textbooks

H K VERSTEEG AND W MALALASEKERA    ; An Introduction to Computational Fluid Dynamics (the finite volume method) Second Edition, published by Pearson Education Limited, 2007

Suggested Readings/Materials

J.F. WENDT (ED.) Computational Fluid Dynamics An Introduction, Third Edition, Springer, 2009

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
25
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
25
Final Exam
1
50
Total

Weighting of Semester Activities on the Final Grade
1
50
Weighting of End-of-Semester Activities on the Final Grade
1
50
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
16
5
80
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
5
3.20
16
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
3
3
Final Exam
1
3
3
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have theoretical and practical knowledge that have been acquired in the area of Mathematics, Natural Sciences, and Aerospace Engineering.

2

To be able to assess, analyze and solve problems by using the scientific methods in the area of Aerospace Engineering.

X
3

To be able to design a complex system, process or product under realistic limitations and requirements by using modern design techniques.

X
4

To be able to develop, select and use novel tools and techniques required in the area of Aerospace Engineering.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results.

6

To be able to develop communication skills, ad working ability in multidisciplinary teams.

7

To be able to communicate effectively in verbal and written Turkish; writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions.

X
8

To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Aerospace Engineering solutions.

9

To be aware of professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

X
10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

X
11

To be able to collect data in the area of Aerospace Engineering, and to be able to communicate with colleagues in a foreign language (‘‘European Language Portfolio Global Scale’’, Level B1).

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Aerospace Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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