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File: Dynamics Pdf 158058 | Syllabuscfd4pe
computational fluid dynamics cfd for energy technologies course nr 2130910 course title computational fluid dynamics cfd for energy technologies course credits 4 semester start date april 16 2018 class schedule ...

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        Computational Fluid Dynamics (CFD) for energy technologies
         Course Nr.:            2130910
         Course Title:          Computational Fluid Dynamics (CFD)
                                for energy technologies
         Course Credits:        4
         Semester Start Date:   April 16 2018
         Class Schedule:        Th. 9:45-11:15
         Classroom :            Building 20.30; Room SR -1.012 (UG)
         Instructor:      Dr. Ivan Otic
          Email:          ivan.otic@kit.edu
          Website:        http://www.ifrt.kit.edu/english/21 270.php
          Office Location: Geb. 07.08, Vincenz-Prießnitz-Straße 3, Room 327
          Office Hours:     Th 14:00-15:00 and by appointment
        Course Description:
        The course is aimed of giving the fundamental of Computational Fluid Dynamics (CFD) for energy
        technologies. Computational techniques for solving Navier-Stokes and Energy equations with emphasis
        on turbulent heat and mass transfer are introduced. Finite volume method and solution of systems of
        linear algebraic equations are discussed. Error control, accuracy and stability are discussed and demon-
        strated. Reynolds-Averaged-Navier-Stokes (RANS) equations and computation of turbulent flows are
        discussed and demonstrated. Explicit vs. implicit time stepping methods. The course consists of both,
        a theoretical and a practical component. The former will deal with the derivations and properties of the
        methods and models for CFD. The practical part will make use of open source CFD computer program
        OpenFOAMto give a ”hands on” insight into the simulation of turbulent flows.
                                          1
            Prerequisites:
            Undergraduate numerical analysis. Graduate-level fluid mechanics. Basic computer skills (C++, Python)
            Course Objectives:
            At the completion of this course, students
                - are able to understand fundamentals of non-linear partial differential equations.
                - get working knowledge of computational techniques that can be used for solving engineering heat
                 and mass transfer problems
                - are able to understand fundamentals of statistical fluid mechanics and to derive RANS transport
                 equations
                - have learned how to computationally solve turbulent heat and mass transfer problems using Open-
                 FOAMsoftware
                - are able to present their results in form of technical report.
            CFDProject:
                - Part of this class is performing CFD simulations of turbulent heat and mass transfer using open-
                 source CFD software OpenFOAM.
                - After CFD analysis is completed students have to write a technical report.
                - Projects are to be performed individually or in teams of two but every student writes his own report.
                - The CFD analysis technical report is part of the final examination.
            Reference texts:
                - Lecture Notes (Presentation slides)
                - Project tutorial
                - Simulation files required to perform the project
                - Report example
            Grading:
            The final grade is based on performance in:
                 Project      40%
                 Final Exam   60%
                                                             2
           Recommended Books:
              - An Introduction to Computational Fluid Dynamics: The Finite Volume Method, H. Versteeg and
                W. Malalasekra, 2007.
              - Computational Methods for Fluid Dynamics, J.H. Fereziger and M. Peric, 2002.
           Course Policies:
             1. Project    Technical reports on student projects are expected to be submitted electronically by
                12pm on the due date.
             2. Attendance and Absences       Class attendance is expected. Students are responsible for all
                missed work, regardless of the reason for absence. It is also the absentee’s responsibility to get all
                missing notes or materials.
             3. Unauthorized/Excessive Assistance     The student may not get any unauthorized or excessive
                assistance in the preparation of any work.
             4. Authorship    The student must clearly establish authorship of a work. Referenced work must
                be clearly documented, cited, and attributed, regardless of media or distribution. Also for work
                licensed as public domain or Copyleft, (See: http://creativecommons.org/) the student must provide
                attribution of that work.
           Tentative Course Outline:
           The weekly coverage might change as it depends on the progress of the class.
                                                  Content
            1     • Introduction: What is Computational Fluid Dynamics?
            2     • Governing Equations
            3     • Numerical Methods: Introduction
            4     • Numerical Methods: Finite Volume
            5     • Numerical Methods: Solution of ordinary differential equations
            6     • Numerical Methods: Convergence and numerical stability
            7     • Turbulence and Turbulence Modelling
            8     • Reynolds Averaged Navier-Stokes Simulation Approach
            9     • Heat Transfer
                                                        3
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...Computational fluid dynamics cfd for energy technologies course nr title credits semester start date april class schedule th classroom building room sr ug instructor dr ivan otic email kit edu website http www ifrt english php oce location geb vincenz prie nitz stra e hours and by appointment description the is aimed of giving fundamental techniques solving navier stokes equations with emphasis on turbulent heat mass transfer are introduced finite volume method solution systems linear algebraic discussed error control accuracy stability demon strated reynolds averaged rans computation ows demonstrated explicit vs implicit time stepping methods consists both a theoretical practical component former will deal derivations properties models part make use open source computer program openfoamto give hands insight into simulation prerequisites undergraduate numerical analysis graduate level uid mechanics basic skills c python objectives at completion this students able to understand fundamen...

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