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Course Description Course Name : Computational Fluid Dynamics Course Code : MK-528 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. HÜSEYİN AKILLI Learning Outcomes of the Course : Has detailed knowledge about numerical methods in fluid mechanics Applies suitable discritization method into engineering problems Uses FLUENT package program effectively 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 to Computational Fluid Dynamics (CFD) . 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 Laboratory 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 Introduction 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 Examination 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 Lecturing 15 Modelling of turbulent flow Read the related topics in the lecture notes and reference books Lecturing 16/17 Final Examination Written Examination Written Examination   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  An Introduction to Computational Fluid Dynamics” H. K. Versteeg and W. Malalasekera, 2nd Edition, Pearson, 2007  Harvard Lomax, Thomas H. Pulliam and David W. Zingg "Fundamentals of Computational Fluid Dynamics", CFD Course Notes, 1999 Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 2 50     Homeworks/Projects/Others 4 50 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 Is equipped with the basic knowledge of math, science and engineering 5 2 Is dominated with basic concepts, theories and principles in mechanical engineering 4 3 Plans and does experiments in advanced level, interpretes and analizes the results and the data 0 4 Is equipped with a variety of skills and advanced engineering techniques 3 5 To design a system, component or process in order to meet the needs of various engineering problems within the limitations of technical, economic, environmental, manufacturability, sustainability 3 6 Independently reviews and learns the applications in an enterprise, makes a critical assessment of the problems faced with, has the ability of selecting the proper technique to formulate problems and propose solutions 4 7 Identifies a product or its production process, design, development, and prioritise its use 0 8 Becomes aware of the necessity of lifelong learning and continuously self-renew 4 9 Is capable of effective oral and written English for technical or non-technical use 5 10 Uses computers effectively, has the ability of computer-aided drafting, design, analysis, and presentation 4 11 Has teamwork skills, good communication skills and works efficiently as a member of versatile and an interdisciplinary team 4 12 Is aware of the technical and ethical responsibilities, 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 4 56 Assesment Related Works     Homeworks, Projects, Others 4 3 12     Mid-term Exams (Written, Oral, etc.) 2 10 20     Final Exam 1 10 10 Total Workload: 140 Total Workload / 25 (h): 5.6 ECTS Credit: 6