MAK472 Introduction to Computational Heat and Flow AnalysisInstitutional InformationDegree Programs Mechanical EngineeringInformation For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mechanical Engineering

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

Course General Introduction Information

Course Code: MAK472
Course Name: Introduction to Computational Heat and Flow Analysis
Course Semester: Spring
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) Ability to utilize advanced theoretical and applied knowledge in the field. 3
2) Using the advanced knowledge and skills acquired in the field, being able to interpret and evaluate data, identify problems, analyze them, and develop solution proposals based on research and evidence. 3
3) Being able to organize and implement projects and activities for the social environment in which one lives with a sense of social responsibility. 3
4) Being able to follow information in one foreign language at least at the European Language Portfolio B1 General Level and communicate with colleagues in the field.
5) Ability to use information and communication technologies together with at least European Computer Driving License Advanced Level computer software, as required by the field.
6) Being able to evaluate advanced knowledge and skills in the field critically.
7) Identifying learning needs and being able to direct learning.
8) Developing a positive attitude towards lifelong learning.
9) Acting in accordance with social, scientific, cultural, and ethical values ​​in the stages of collecting, interpreting, applying, and announcing the results related to the field.
10) Having sufficient awareness about the universality of social rights, social justice, quality culture, preservation of cultural values, as well as environmental protection, occupational health, and safety.
11) Being able to conduct an advanced study independently in the field.
12) To take responsibility individually and as a team member to solve complex problems encountered in the field of application, which are unforeseen.
13) Being able to plan and manage activities for the development of those under their responsibility within the framework of a project.
14) Possess advanced level theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resources.
15) Being able to inform relevant individuals and institutions about the field; expressing their thoughts and solution proposals for problems both in written and verbal form.
16) Being able to share your thoughts and solutions regarding subjects related to the field with both experts and non-experts, supported by quantitative and qualitative data.

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