Servizi per la didattica
PORTALE DELLA DIDATTICA

Computational heat and mass transfer

01QSLIV

A.A. 2019/20

Course Language

Inglese

Course degree

Doctorate Research in Energetica - Torino

Course structure
Teaching Hours
Lezioni 20
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Ferrari Alessandro Professore Associato ING-IND/08 12 0 0 0 6
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
*** N/A ***    
2019/20
PERIOD: JUNE - SEPTEMBER 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.
PERIOD: JUNE - SEPTEMBER 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.
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.
ModalitÓ di esame:
Exam:
Esporta Word


© Politecnico di Torino
Corso Duca degli Abruzzi, 24 - 10129 Torino, ITALY
Contatti