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CODE 60122
ACADEMIC YEAR 2024/2025
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR ING-IND/08
LANGUAGE Italian
TEACHING LOCATION
  • GENOVA
SEMESTER 1° Semester
MODULES Questo insegnamento è un modulo di:
TEACHING MATERIALS AULAWEB

OVERVIEW

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.

AIMS AND CONTENT

LEARNING OUTCOMES

The course is aimed at presenting current CFD methods for fluid-machinery and industrial applications. The student will learn the basic numerical techniques 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.

AIMS AND LEARNING OUTCOMES

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

TEACHING METHODS

Lectures and practical applications using software platform widely used in industry

The  Ansys Student is used for  several  practical  applications relevant for the industrial reference sector and for the  aims  and  learning outcomes

Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Professor Federico Scarpa (federico.scarpa@unige.it), the Polytechnic School's disability liaison.

 

SYLLABUS/CONTENT

The course is organised with the following topics:

  • governing equations and boundary conditions;
  • discretisation methods and numerical schemes;
  • CFD techniques for compressible and incompressible flows;
  • introduction to turbulence modeling;
  • grid generation methods;
  • complex flow models (reactive, multicomponent, multiphase flows);
  • CFD applications to fluid machinery analysis;
  • CFD applications to industrial flow problems.

RECOMMENDED READING/BIBLIOGRAPHY

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;

TEACHERS AND EXAM BOARD

Exam Board

CARLO CRAVERO (President)

DARIO BARSI

DAVIDE LENGANI (President Substitute)

DANIELE SIMONI (President Substitute)

ANDREA CATTANEI (Substitute)

MATTEO DELLACASAGRANDE (Substitute)

DAVIDE MARSANO (Substitute)

FERRUCCIO PITTALUGA (Substitute)

FRANCESCA SATTA (Substitute)

LESSONS

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Written  reports and oral exam

The student must prepare  written reports on  the application  cases and questions on both theory and exercises will be part of the oral examination

The exam is fixed with the teacher with email messages

ASSESSMENT METHODS

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.

Exam schedule

Data appello Orario Luogo Degree type Note
14/02/2025 09:00 GENOVA Orale
24/03/2025 09:00 GENOVA Orale
27/06/2025 09:00 GENOVA Orale
11/07/2025 09:00 GENOVA Orale
25/07/2025 09:00 GENOVA Orale
08/08/2025 09:00 GENOVA Orale
19/12/2025 09:00 GENOVA Orale
09/01/2026 09:00 GENOVA Orale
13/02/2026 09:00 GENOVA Orale

FURTHER INFORMATION

Contact the teacher to agree the examination date

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