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Computational heat and mass transfer

01QSLIV

A.A. 2018/19

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 Ordinario ING-IND/08 6 0 0 0 7
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
*** N/A ***    
2018/19
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:
Gli studenti e le studentesse con disabilitÓ o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'UnitÓ Special Needs, al fine di permettere al/la docente la declinazione pi¨ idonea in riferimento alla specifica tipologia di esame.
Exam:
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.
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