MECHATRONICS ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MCH4213 Introduction to Computational Fluid Dynamics Fall 3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi ÖZCAN HÜSEYİN GÜNHAN
Recommended Optional Program Components: NONE
Course Objectives: The purpose of this course is to equip the student with the fundamental concepts of Computational Fluid Dynamics. ANSYS Fluent will be used to explain the basic processes of mesh generation, modeling, iteration and data analysis . Empasis will be given to problems with a known analytical solutions so that students gain an awareness for errors and error sources in CFD. At the end of the course, students will gain an ability to make CFD analyses and interpret the results.

Learning Outcomes

The students who have succeeded in this course;
I. Recognize the strengths and limitations of CFD.
II. Identify the main elements of a CFD analysis
III. Identify boundary conditions and physical meaning of terms in conservation equations
IV. Construct a geometry, mesh that geometry, set up a CFD calculation on the mesh, perform the calculation, and post-process the results
V. Test a numerical result by comparison with known analytical results (Two-dimensional laminar/turbulent channel flow)
VI. Define consistency, stability, convergence and accuracy of CFD solutions
VII. Calculate flow over a two-dimensional airfoil
VIII. Identify guidelines on structured and unstructured meshes and turbulence modeling,
IX. Calculate flow in a heated/cooled cubical cavity

Course Content

Application areas of Computational Fluid Dynamics (CFD), CFD solution procedure (Pre-processing, numerical solution, post processing), Governing equations (Conservation and Turbulence), Basic CFD Techniques (Finite difference, finite volume), Stability, convergence and accuracy, Practical Guidelines for CFD simulation and analysis, Example applications.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Application areas of Computational Fluid Dynamics
2) CFD solution procedure (Pre-processing, numerical solution, post processing)
3) Governing equations (Conservation and Turbulence) and boundary conditions
4) Solution of two-dimensional flow in a channel for various Reynolds and Prandtl numbers
5) Basic CFD Techniques (Finite difference, finite volume)
6) Dicretization of equations
7) Solution of flow over an airfoil
8) The SIMPLE technique
9) Midterm
10) Stability, convergence and accuracy
11) Solution of flow in a heated/cooled cubical cavity
12) Practical Guidelines for CFD simulation and analysis
13) Some advanced topics in CFD
14) Solution of flow over a vehicle

Sources

Course Notes / Textbooks: Computational Fluid Dynamics, A Practical Approach, J. Tu, G.H. Yeoh and C. Liu, Elsevier, Butterworth-Heinemann, 2008,ISBN: 978-0-7506-8563-4
References: YOK

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 0
Laboratory 14 % 0
Quizzes 2 % 20
Homework Assignments 3 % 10
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 14 28
Application 14 28
Study Hours Out of Class 12 48
Homework Assignments 3 15
Midterms 3 15
Final 3 15
Total Workload 149

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Build up a body of knowledge in mathematics, science and Mechatronics Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. 4
2) Identify, formulate, and solve complex Mechatronics Engineering problems; select and apply proper modeling and analysis methods for this purpose. 5
3) Design complex Mechatronic systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. 4
4) Devise, select, and use modern techniques and tools needed for solving complex problems in Mechatronics Engineering practice; employ information technologies effectively. 4
5) Design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Mechatronics Engineering. 4
6) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Mechatronics-related problems. 4
7) Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions. 4
8) Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. 2
9) Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Mechatronics Engineering applications. 1
10) Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. 1
11) Acquire knowledge about the effects of practices of Mechatronics Engineering on health, environment, security in universal and social scope, and the contemporary problems of Mechatronics engineering; is aware of the legal consequences of Mechatronics engineering solutions.