The course aims at providing the fundamentals of the modern CFD techniques with particular emphasis on industrial applications.
CC2: In-depth knowledge and understanding of the theoretical-scientific aspects of mathematics and other basic sciences. To be able to use this knowledge to interpret and describe complex and/or interdisciplinary engineering problems.
CC3: Knowledge, understanding and use of scientific (computer and other) tools specific to the field of mechanical engineering design.
CA3: Applying knowledge and understanding related to the choice and application of appropriate analytical and modelling methods, based on mathematical and numerical analysis, in order to better simulate the behavior of components and plants in order to predict and improve their performance.
CA8: Applying knowledge and understanding related to the appropriate interpretation of the results of experimental tests, verification calculations and complex theoretical simulation processes, through the use of the computer, applying the acquired experimental, modeling, mathematical and informatics bases.
CA9: Applying knowledge and understanding related to the critically assessment of data and results, drawing appropriate conclusions, aware of the degree of uncertainty that may affect them.
CA12: Applying adequate knowledge and understanding to understand English texts.
CA15: Applying knowledge and understanding to achieve adequate preparation for tertiary level university studies (frequency to post-master's degree courses and doctoral schools) in order to further deepen knowledge and skills in research.
Type of Assessment
The assessment of the student requires the completion of some written assignments. The manuscripts must be presented and are assessed during the oral examination.
The student is asked to orally answer one or more questions to the end of assessing his/her ability to explain the course subjects.
The student must demonstrate his/her ability to apply methods and models discussed in classes for the solution of industrial problems.
Finite volume discretization: time integration, implicit and explicit solvers, boundary conditions, source terms, iterative solutions of linear systems, introduction to parallel computing
Turbulence modelling: EVM, RSM, wall treatment
Large Eddy Simulation: SGS closures, Hybrid RANS-LES
Fundamentals of turbulent combustion:
Fundamentals of two-phase flows
Discussion of assignements