Course Details
Course Information Package
Course Unit Title | COMPUTATIONAL FLUID DYNAMICS METHODOLOGY AND APPLICATIONS | ||||||||||
Course Unit Code | AUTO310 | ||||||||||
Course Unit Details | |||||||||||
Number of ECTS credits allocated | 6 | ||||||||||
Learning Outcomes of the course unit | By the end of the course, the students should be able to:
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Mode of Delivery | Face-to-face | ||||||||||
Prerequisites | AMEE200,AMAT314 | Co-requisites | AMEE202 | ||||||||
Recommended optional program components | NONE | ||||||||||
Course Contents | Introduction: Principles of fluid mechanics, heat transfer and thermodynamics. Fluid flow and heat transfer problems, analytical and numerical solutions. Fluid flow and heat transfer problems formulation and computer programming solution. Problem solving with CFD computational codes and practical examples. Aspects of FORTRAN and MATLAB programming languages. Classification of fluid flow: External and internal flows. Steady and unsteady state problems. Inviscid and viscous flow. Laminar and turbulent flow. Incompressible and compressible flow. Subsonic and supersonic flow. Summary of problem types and equations. Conservation equations for fluid flow and heat transfer: Mass, momentum and energy conservation equations differential form. Mass, momentum and energy conservation equations integral form. Boundary and initial conditions: Boundary conditions for steady and unsteady flows. Initial conditions for unsteady flows. Discretisation techniques: The finite-difference method and applications. The finite-volume method and differencing schemes. Application of the finite-volume method in diffusion problems. Application of the finite-volume method in convection-diffusion problems. Solution techniques of discretised equations: Summary of the FV method coefficients/sources and the resulting linear system of equations. Direct methods and application of the tridiagonal matrix algorithm (TDMA). Indirect methods and application of the Jacobi iteration method. Properties of numerical solution methods and error estimation. Advanced topics in CFD: Grid generation. Turbulence modelling and the Naviers-Stokes equations averaging. Solution algorithms for pressure-velocity coupling. Large Eddy Simulation (LES). Direct numerical simulation (DNS). Laboratories: Individual simulation Laboratories for practical fluid flow problems solution and plots of field data performed with the use of the CFD code STAR-CD at the Computer Laboratory. Assignments: Individual assignment for diffusion or convection-diffusion problems solution with the finite-volume method and appropriate differencing schemes and application of numerical technique via the use of programming language (FORTRAN or MATLAB). | ||||||||||
Recommended and/or required reading: | |||||||||||
Textbooks |
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References |
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Planned learning activities and teaching methods | The course is delivered to the students by means of lectures, conducted with the help of computer presentations, as well as demonstrations of computational geometries, models, computer programmes and the use of advanced CFD code at the computer laboratory for solving fluid flow and heat transfer problems. Lecture notes and presentations are available through the web for students to use in combination with the textbooks.
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Assessment methods and criteria |
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Language of instruction | English | ||||||||||
Work placement(s) | NO |