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Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2019/2020
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 097359 - CFD FOR ENERGY ENGINEERING
Docente Inzoli Fabio
Cfu 8.00 Tipo insegnamento Monodisciplinare

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - BV (477) ENERGY ENGINEERING - INGEGNERIA ENERGETICA*AZZZZ097359 - CFD FOR ENERGY ENGINEERING
Ing Ind - Inf (Mag.)(ord. 270) - BV (479) MANAGEMENT ENGINEERING - INGEGNERIA GESTIONALE*AZZZZ097359 - CFD FOR ENERGY ENGINEERING

Obiettivi dell'insegnamento

The course introduces the students to the Computational Fluid-Dynamics, which is used nowadays as a tool for supporting product and process development, prototyping, verification and optimization. The course aims at providing the required abilities to manage the whole CFD project cycle with awareness of the modelling problems involved.

The course is organized in two different modules: theoretical lessons and hands-on session (the SW Ansys-Fluent and license are available to students).

The goal of the first module is to provide the student the tools for a critical understanding of CFD codes. The lectures will be devoted to the introduction of modelling of the key phenomena in the energy engineering: turbulence flows, heat transfer and reactive flow (i.e. combustion). In details the physics of turbulent flows will be outlined, and their numerical modelling will be discussed. The modelling approaches known as RANS, LES and DNS will be introduced, and a description of the main available RANS models is provided. The heat transfer modelling management (conduction, convection and radiation) is presented and discussed.

During the hands-on sessions in computer laboratory, a CFD code is used to solve industrial cases related to energy engineering topics. A posteriori comparison of the simulation results with available experimental results will be used to evaluate the employed approach, with the aim of getting students acquainted with the process of selecting the models and solving procedure for a given problem in the energy engineering.


Risultati di apprendimento attesi

Lectures will allow students to:

  • know the theoretical methodologies of analysis based on the numerical modelling of turbulent flows and heat transfer with commercial computer codes
  • set the numerical modelling with a CFD code through the setting of the boundary conditions and numerical techniques for solving the mathematical problem
  • develop skills for the critical evaluation of the results obtained

Laboratory activities will allow students to:

  • Manage a commercial CFD code
  • Development capabilities to present numerical results and discuss their accuracy
  • Communicate through technical reports the results of the numerical simulation

Argomenti trattati
  1. INTRODUCTION

CFD as a tool for supporting product and process development, prototyping, verification and optimization. Applications of the CFD. The CFD cycle project.

  1. PROBLEM ANALYSIS

The evaluation of the physical problem, the definition of the physical model, the development of the mathematical modeling approach, the implementation of the model, the resolution and the evaluation of the results.

  1. PROBLEM SETTING

The geometrical modeling and discretization of the domain. The importance of the domain discretization using adequate mesh.

  1. PROBLEM SOLVING

The role of the solver. Application of the finite volume method for discretization and solution of Navier-Stokes equations. The numerical methods for solving the system of differential equations. The interpolation schemes, the pressure-velocity coupling and the boundary conditions. The physics of turbulent flows, the turbulence and the turbulent flows. The Reynold stress tensor and the closure problem. The numerical modelling of the turbulent flows. The RANS, LES and DNS modelling approaches. Classical RANS turbulence models. Heat transfer modeling: conduction, convection and radiation. Combustion modeling: premixed, non-premixed and PDF approach.

  1. PROBLEM POST-PROCESSING AND CYCLING

The review of the results: qualitative and quantitative evaluation of the results. Comparison with available experimental and/or literature data. Sensitivity analysis on mesh size and critical review of the CFD model. The GCI.

  1. PROJECT MANAGING

The CFD project cycle and the quality in CFD.


Prerequisiti

Students are required to know the principles of fluid mechanics and heat transfer, as well as basic knowledge about numerical solution techniques for linear algebraic equations.

ANSYS provides free student products for work done inside and outside the classroom, such as homework. The products can be downloaded on web academic portal. ANSYS Student products can be installed on any supported MS Windows 64-bit machine. More information available on www.ansys.com.


Modalità di valutazione

The exam is based on the evaluation of the final report related to the case study supplied to the students during exam session. Will be evaluated and judged the capability to applied proper models, to solve the numerical models and to discuss, from engineering point of view, the obtained results.

The oral discussion aims at evaluating the acquisition of proper knowledge about numerical modelling and methods.

The discussion about the final report and the analisys of .cas and .dat files related to the simulation allows to evaluate the student's capabilities to manage a CFD code and to present the results with structured format. The discussion about numerical results puts in evidence the awarness of the numerical methodologies to be used in energy engineering analyses.


Bibliografia
Risorsa bibliografica obbligatoriaH.K. Versteeg, W. Malalasekera, An Introduction to Computational Fluid Dynamics: The Finite Volume, Editore: PEARSON PRENTICE HALL, Anno edizione: 2007, ISBN: 978-0-13-127498-3

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
40:00
60:00
Esercitazione
0:00
0:00
Laboratorio Informatico
40:00
60:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
0:00
0:00
Totale 80:00 120:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
06/04/2020