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Course Description Course Name : Computational Fluid Dynamics Course Code : MES421 Course Type : Optional Level of Course : First Cycle Year of Study : 4 Course Semester : Fall (16 Weeks) ECTS : 4 Name of Lecturer(s) : Prof.Dr. HÜSEYİN AKILLI Learning Outcomes of the Course : Uses the FLUENT program effectively for mechanical engineering applications Obtains information about the industrial applications of fluid mechanics Understands the importance of fluid mechanics Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : A detailed introduction to the fundamentals of Computational Fluid Dynamics (CFD) together with an insight into the applications of CFD Course Contents : Introduction. Conservation laws of fluid motion and boundary conditions. Brief information on the finite volume method. Solution algorithms for pressure-velocity coupling in steady flows. The finite volume method for unsteady flows. Turbulence and its modeling. Methods for dealing with complex geometries on structured or unstructured grids. Language of Instruction : English Work Place : Computer lab. of mechanical Engineering Department   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction to numerical analysis Read the related topics in the lecture notes and reference books Lecturing 2 Conservation laws of fluid motion and boundary conditions Read the related topics in the lecture notes and reference books Lecturing 3 Conservation laws of fluid motion and boundary conditions Read the related topics in the lecture notes and reference books Lecturing 4 Intoduction to finite volume method Read the related topics in the lecture notes and reference books Lecturing 5 Introduction to finite volume method Read the related topics in the lecture notes and reference books Lecturing 6 Model generation and application of boundary conditions Read the related topics in the lecture notes and reference books Lecturing 7 Grid Generation Read the related topics in the lecture notes and reference books Lecturing 8 Grid generation Read the related topics in the lecture notes and reference books Lecturing 9 Solution algorithms for pressure-velocity coupling in steady flows Read the related topics in the lecture notes and reference books Lecturing 10 Solution of steady flows Read the related topics in the lecture notes and reference books Lecturing 11 Mid-term Exam Written Examination Written Exam 12 Solution of unsteady flow Read the related topics in the lecture notes and reference books Lecturing 13 Introduction to turbulence Read the related topics in the lecture notes and reference books Lecturing 14 Modelling of turbulent flow Read the related topics in the lecture notes and reference books Ders anlatım 15 Modelling of turbulent flows Read the related topics in the lecture notes and reference books Lecturing 16/17 Final Exam Written Examination Written Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Harvard Lomax, Thomas H. Pulliam and David W. Zingg "Fundamentals of Computational Fluid Dynamics", CFD Course Notes, 1999  An Introduction to Computational Fluid Dynamics” H. K. Versteeg and W. Malalasekera, 2nd Edition, Pearson, 2007 Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 30     Homeworks/Projects/Others 4 70 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Students gain a command of basic concepts, theories and principles in mechanical engineering 3 2 Student become equipped with the basic knowledge of math, science and engineering 4 3 Students are able to design and carry out experiments in the basic fields of mechanical engineering, and interpret the results and the data obtained from the experiments 2 4 Students become equipped with a variety of skills and knowledge regarding engineering techniques 4 5 Students are able to design a system, component or process in order to meet the needs of various engineering problems within technical, economic, environmental, manufacturability, and sustainability limits. 3 6 Students independently review and learn the applications in an enterprise, make a critical assessment of the problems faced with, formulate problems and propose solutions by selecting the proper technique 4 7 Students take initiative in identification, design, development and use of a product or production process. 2 8 Students become aware of the necessity of lifelong learning and continuously self-renew 5 9 Students use English effectively for technical or non-technical topics orally or in wirtten form. 2 10 Students become effective in using computer, computer-aided drafting, design, analysis, and presentation 5 11 Students have good communicatino skills with a tendency to work in teams, and are able to work effectively as a member of an interdisciplinary team 5 12 Students become aware of the technical and ethical responsibilities, as well as being inquisitive and innovative 5 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 4 2 8     Mid-term Exams (Written, Oral, etc.) 1 3 3     Final Exam 1 5 5 Total Workload: 100 Total Workload / 25 (h): 4 ECTS Credit: 4