Advanced CFD in Vehicle Industry - BMEKORHD005

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The material requires the knowledge of the next topics: Introduction to CFD (Computational Fluid Dynamics) via scientific and industrial applications, Approaches for flow modelling and conditions for applications, Flow modelling by means of continuum mechanics, System of Navier-Stokes equations, The subject of the CFD; actuality, advantages and application areas, Turbulence and simulation techniques for handling turbulence (DNS, LES and RANS), Reynolds and Favre averaged system of Navier-Stokes equations, Reynolds stress and Eddy viscosity models, Turbulence modelling, Modelling approaches close to the wall; logarithmic-based Wall function and Near-wall resolving approach, Placement of the first cell at the wall, Turbulence modelling, Introduction to discretization techniques (Finite Difference, Finite Element and Finite Volume Methods), Finite volume method for solving governing equations, The main steps of a CFD simulation tasks; geometry model preparation and simplification, meshing and mesh metrics, definition of material properties, setting of considered physics, initial and boundary conditions and their definitions, solver settings, convergence characteristics, visualization and presentation of the results in qualitative and in quantitative manner.

• The student knows the advantages, conditions, application ranges and the theoretical and practical aspects of the specific CFD (Computational Fluid Dynamics) methodologies for solving industrial (R&D) problems and for having new scientific results.

• The student can solve CFD simulation tasks independently in the specific areas with especial care for the highest level approximation of the reality and/or at the best “computational cost/accuracy” ratio with verification, plausibility check and validation.
• The student can develop and obtain new industrial and scientific results after understanding and analysing CFD results.

• The student aims to complete his/her studies at the highest level, under the shortest time, by providing his/her knowledge and capacity at the best to obtain knowledge for deep and independent professional work.
• The student has strong professional commitment, has developed expectations for finding new, better solutions and has agreement on doing hard work.

• The student takes responsibility for guiding mates by the quality of his/her work and by keeping ethical norms.
• The student takes responsibility for applying the knowledge in line with the studied conditions, limitations and constraints.
• The student can friendly accept the well-established constructive criticism and can utilize that in future.
• The student is a creative constructor, proactive, and has leadership skills and argument techniques, capabilities with responsibility during the studies, research work.