The course is aimed at presenting current CFD methods for fluid-machinery and industrial applications. The student will learn the basic numerical tecniques that form the backbone of commercial packages for CFD applications and will develop a critical attitude toward the use of the above technology, already widely used in industry for product design and development.
Participation to lessons (theoretical or practical applications) and the individual learning efforts will allow the student to:
- know the main numerical approaches to computational fluid dynamics
- distinguish the different mesh types and select the most appropriate for a given application
- check the quality and reliability of a CFD solution
- perform a critical analysis of numerical applications for fluid machinery or industrial components
- perform numerical simulations using commercial software platforms
- identify the most appropriate approach for a design optimization problem
- set up a procedure for design optimization
Lectures and practical applications using software platform widely used in industry
The course is organised with the following topics:
J. Anderson: “Computational Fluid-Dynamics”, McGraw-Hill, 1995;
C.Hirsch: "Numerical Computation of Internal and External Flows ", voll. I-II, Wiley&Sons, 1989
J.Tannehill, D.Anderson, R.Pletcher: “Computational Fluid Mechanics and Heat Transfer“,McGraw-Hill, 1984;
Ricevimento: by appointment
CARLO CRAVERO (President)
DARIO BARSI
ANDREA CATTANEI
MATTEO DELLACASAGRANDE
FRANCESCA SATTA
DAVIDE LENGANI (President Substitute)
DANIELE SIMONI (President Substitute)
https://corsi.unige.it/9270/p/studenti-orario
Oral exam
The exam is fixed with the teacher with email messages
The details on the exam preparation and the level of knowledge for a given topic will be provided to the student during the lessons
The discussion of the written report provided by the student will be used to demonstrate the acquired knowledge on the application of CFD to practical cases
The oral exam will be on the different topics presented during the lessons to understand the level of knowledge acquired and the ability to make a critical analysis of a simulation approach. The ability to select and describe the numerical algorithms for design optimization best suited for a given application will be also evaluated.
Contact the teacher to agree the examination date