MEC472 Hesaplamalı Isı ve Akış Analizine GirişInstitutional InformationDegree Programs Mechanical Engineering (English)Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mechanical Engineering (English)

Preview

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

Course General Introduction Information

Course Code: MEC472
Course Name: Hesaplamalı Isı ve Akış Analizine Giriş
Course Semester: Fall
Course Credits:
ECTS
6
Language of instruction:
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Area Ellective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi AHMET GÜLTEKİN
Course Lecturer(s):
Course Assistants:

Course Purpose and Content

Course Objectives: To introduce Computational Fluid Dynamics (CFD) as a tool for solution of fluid dynamics problems. To familiarize students with different methods used in solving computational fluid dynamics problems such as finite differences, finite elements and finite volumes. To teach concepts such as boundary and initial conditions, numerical accuracy, consistency and stability. To enable students to conduct an independent project on a related topic.
Course Content: Introduction to computational fluid mechanics, basic equations of fluid mechanics, basic computational techniques, properties of numerical schemes, finite difference method, finite element method, solution methods of systems of equations, mesh generation.

Learning Outcomes

The students who have succeeded in this course;
1) Understanding of the importance of the computational fluid dynamics (CFD) method in engineering problem solving and new product design
2) Formation of basic CFD principles.
3) Evaluation of CFD application areas
4) Knowing the position of commercial CFD programs.

Course Flow Plan

Week Subject Related Preparation
1) Introduction
2) Commercial CFD Codes
3) 1-Dimensional Heat Conduction, Solution File and Solution Procedure.
4) Discretization Procedure With The Finite Volume Method: 1-Dimensional Heat Conduction, Boundary Conditions And Source Term Expressions.
5) Boundary Source Linearization, General Rules For The Discretization Of Equations.
6) Numerical Exact Solution Of The 1-Dimensional Heat Conduction Problem: Formulation of Governing Equations, Formulation Of The Algebraic Equations Usin
7) Interior Cells, Boundary Cells, Numeric Solution Using Algebraic Equations.
8) Laminar Flow İn A Sudden Expansion Channel, Solution File And Solution Procedure.
9) Other Cfd Method Subjects: Variable Cell Distributions, Blocking İnside The Computational Domain.
10) Relaxation, Convergence And Restart, Control Of Accuracy And Validity Of Cfd Solutions.
11) Transient Natural Convection, Solution File And Solution Procedure.
12) Application
13) Application
14) Final

Sources

Course Notes / Textbooks: 1. Versteeg, H. K. and Malalasekera, W., “An Introduction to Computational Fluid Dynamics”, Longman, 1995
2. Patankar, S. V., “Numerical Heat Transfer and Fluid Flow”, McGraw-Hill, 1980.
References: 1. Versteeg, H. K. and Malalasekera, W., “An Introduction to Computational Fluid Dynamics”, Longman, 1995
2. Patankar, S. V., “Numerical Heat Transfer and Fluid Flow”, McGraw-Hill, 1980.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Having advanced theoretical and practical knowledge supported by textbooks, application tools and other resources containing current information in the field. 3
2) Ability to use advanced theoretical and practical knowledge acquired in the field. 3
3) Ability to interpret and evaluate data, identify and analyze problems, and develop solution suggestions based on research and evidence, using the advanced knowledge and skills acquired in the field. 3
4) To be able to inform relevant people and institutions on issues related to the field; Ability to convey thoughts and solution suggestions to problems in written and oral form.
5) Ability to share one's thoughts on issues related to one's field and solutions to problems, supported by quantitative and qualitative data, with experts and non-experts.
6) Ability to organize and implement projects and events for the social environment in which one lives with awareness of social responsibility.
7) Ability to monitor knowledge in the field and communicate with colleagues by using a foreign language at least at the European Language Portfolio B1 General Level.
8) Ability to use information and communication technologies along with computer software at least at the Advanced Level of the European Computer Usage License required by the field.
9) Acting in accordance with social, scientific, cultural and ethical values during the collection, interpretation, application and announcement of the results of data related to the field.
10) Having sufficient awareness about the universality of social rights, social justice, quality culture and protection of cultural values, environmental protection, occupational health and safety.
11) Ability to evaluate the advanced knowledge and skills acquired in the field with a critical approach.
12) Ability to identify learning needs and direct learning
13) Being able to develop a positive attitude towards lifelong learning.
14) Ability to independently carry out an advanced study related to the field.
15) Ability to take responsibility individually and as a team member to solve unforeseen complex problems encountered in field-related applications.
16) Ability to plan and manage activities aimed at the development of the employees under his/her responsibility within the framework of a project.

Learning Activity and Teaching Methods

Course
Grup çalışması ve ödevi
Homework

Measurement and Evaluation Methods and Criteria

Homework
Sunum

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 5 % 15
Project 1 % 15
Midterms 2 % 30
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 14 3 42
Study Hours Out of Class 14 3 42
Project 1 20 20
Homework Assignments 5 3 15
Midterms 2 15 30
Final 1 20 20
Total Workload 169