This course aims to provide general and detailed information on specific
computational methods and advanced computer programs are applied by the
students for: a) the determination of the structure of complex systems using basic
principles with the Reverse Monte Carlo (RMC) simulation method, b) determination
of the properties of molten systems using molecular dynamics methods (Molecular
Dynamics, MD), c) solving complex and multiparametric computational fluid
dynamics (CFD) problems using ANSIS Fluent tools and/or COMSOL Multiphysics,
d) the study and prediction of phase and microstructure transformations and their
kinetics in liquid/solid and solid/solid systems in industrial alloys using modern
methods and simulation software (CALPHAD, Thermo-Calc®, DICTRA,
MICRESS®).
The course briefly describes the relevant theoretical background while providing an
initial approach to advanced simulation methods applied in Metallurgy and Materials
Technology that can be used in various aspects related to the structure and
transformations of materials based on basic principles, principles of fluid dynamics,
thermodynamics and chemical kinetics. It includes the following
▪ Structure calculation with Reverse Monte Carlo. X-ray and neutron diffraction.
Calculation of structure coefficient and pair distribution functions. Analysis of
the RMC optimization method. Calculation of structure of melts, fluids, glass
and crystalline materials.
▪ Molecular Dynamics simulation (MD). Introduction to molecular dynamics
simulation and case studies. Basic principles of statistical engineering.
Potential functions, supercells, periodic conditions and calculation of the
dynamic energy function. Equilibrium statistical sets (micro-normal, normal
and isotherm-equilibrium). Correlation of equilibrium statistical sets with
equations for calculating thermodynamic properties. Molecular dynamics
simulations. Algorithms for solving dynamic equations and basic principles for
solving. Analysis of results (particle orbits) for the calculation of structural,
dynamic and thermodynamic properties (density, viscosity, electrical
conductivity, dielectric constant, etc.). Simulation of metallurgical materials
using computer packages (eg slag, ferro-nickel, etc.)
▪ Computational fluid dynamics (CFD). Introduction. Equations of conservation
of mass, momentum and energy. Analysis of incompressible and compressible
fluids. Study of the basic turbulence equations. Finite differences and finite
volumes. Navier-Stokes equations and assumptions. Methods for discretizing
conservation equations. Simulation of metallurgical systems using finite
volume computer codes.
▪ Introduction to the CALPHAD method for the calculation of thermodynamic
equilibrium.
▪ Computational methods of kinetic phase transformations. Basic concepts
regarding diffusion. Introduction to moving interface simulation. Analysis of
Sharp Interface, Mixed – mode and Solute Drag models. Analysis of local
equilibrium conditions.
▪ Computational method of phase-field microstructure evolution. Introduction
to the phase-field model. Simulation of liquid-solid phase transformations,
solid-solid. Investigation of recrystallization and grain growth phenomena.
- Teacher: Άνθιμος Ξενίδης
- Teacher: Σπυρίδων Παπαευθυμίου
ECTS : 4
Language : el
Learning Outcomes : Upon successful completion of the course, the student will be able to: 1. know and understand the different computational methods and their characteristics (knowledge). 2. distinguish the basic limitations and conditions of a system to be solved using specialized software (skill). 3. select the appropriate computational method and select the appropriate conditions - parameters (ability).