Politecnico di Torino
Anno Accademico 2017/18
Computational heat and mass transfer
Dottorato di ricerca in Energetica - Torino
Docente Qualifica Settore Lez Es Lab Tut Anni incarico
Ferrari Alessandro ORARIO RICEVIMENTO O2 ING-IND/08 20 0 0 0 7
SSD CFU Attivita' formative Ambiti disciplinari
*** N/A ***    

The course aims at introducing the main ideas associated to numerical computing for energy-related problems, where heat and mass transfer play a significant role.
The different scales, from nano- to macro-, are considered. For each scale, examples of the respective models, methods and tools are provided and simple applications are presented.
The ubiquitous question of the quality assurance (verification&validation) of the solution is addressed.
Introduction to computing. Identification of suitable model, method, tool, platform. Verification&validation of the solution.
The nano-scale: fundamentals of energy transport by principal energy carriers: electron; phonon; fluid particle; photon. Phonons: molecular dynamics (MD) simulations; Kapitza resistance. Fluid particles: statistical thermodynamics; fluid dynamic continuum limit. Photons: radiative transfer equation. The main tools: GROMACS, LAMMPS.
The meso-scale (Computational Fluid Dynamics, CFD): Convection/Diffusion. The theory of the conservation laws and the Navier-Stokes equations. Incompressible vs. compressible flow problems. Mesh generation. Main features of the numerical schemes.. Method of the characteristics for the Euler equations and numerical treatment of shocks. The main tools: ANSYS Fluent, StarCCM+, OpenFoam.
The macro-scale: System-level models. Object-oriented programming. The main tools: Modelica, Amesim, GT-POWER.
Approach to multi-scale problems.
Orario delle lezioni
Statistiche superamento esami

Programma definitivo per l'A.A.2017/18

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