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Vorlesungsverzeichnis

Lehrveranstaltungen einzelner Einrichtungen

 
 
Vorlesungs- und Modulverzeichnis nach Studiengängen >> Technische Fakultät (Tech) >> Elitestudiengänge >> Advanced Materials and Processes - Master of Science (MAP) >> Lehrveranstaltungsverzeichnis >> Schwerpunktfächer (MAP-S-...) >>

Computational Materials Science and Process Simulation (CMP)

 

Numerische Methoden der Thermofluiddynamik [NMTFD VO]

Dozent/in:
Manuel Münsch
Angaben:
Vorlesung, 2 SWS, nur Fachstudium
Termine:
Di, 12:15 - 13:45, KS I
Studienrichtungen / Studienfächer:
PF MAP-S-CMP 3
Voraussetzungen / Organisatorisches:
Strömungsmechanik I,II
Inhalt:
  • Governing equations and models in fluid mechanics
  • Steady problems: the Finite-Difference Method (FDM)

  • Unsteady problems: methods of time integration

  • Advection-diffusion problems

  • The Finite-Volume Method

  • Solution of the incompressible Navier-Stokes equations

  • Grids and their properties

  • Boundary conditions

The students who successfully take this module should:

  • understand the physical meaning and mathematical character of the terms in advection-diffusion equations and the Navier-Stokes equations

  • assess under what circumstances some terms in these equations can be negelcted

  • formulate a FDM for the solution of unsteady transport equations

  • asess the convergence, consistency and stability of a FDM

  • formulate a FVM for the solution of unsteady transport equations

  • know how to solve the Navier-Stokes equation with the FVM

  • implmement programs in matlab/octave to simulate fluid flow

  • assess the quality and validity of a fluid flow simulation

  • work in team and write a report describing the results and significance of a simulation

  • know the different types of grids and when to use them

Empfohlene Literatur:
  • J.H. Ferziger, M. Peric, Computational Methods for Fluid Dynamics, Spinger, 2008
  • R.J. Leveque, Finite Difference Methods for Ordinary and Partial Differential Equations, SIAM, 2007

 

Multi-scale Simulation Methods I (Lecture) [MuSiM I (L)]

Dozentinnen/Dozenten:
Stefan Sandfeld, Nina Gunkelmann
Angaben:
Vorlesung, 1 SWS, ECTS: 1,5, nur Fachstudium
Termine:
jede 2. Woche Mo, 12:45 - 14:15, CIP Pool WW
Every even week: FEM 1 lectures on MONDAYS at 12.45-14.15 in the WW CIP pool, MuSim 1 tutorial on WEDNESDAYS at 13.45-15.15 in the pool 0.157-115. Every odd week: MuSim1 lectures on Mondays at 12.45-14.15 in the WW CIP pool, FEM 1 tutorials on Wednesdays at 13.45-15.15 in the pool 0.157-115. There will be NO MuSim1 L/T during the first two weeks (17-28 October). Instead there will a PYTHON course each week (you only have to take part in one of them). Please sign up for the Python courses at StudOn!
ab 31.10.2016
Studienrichtungen / Studienfächer:
WPF MAP-S-CMP ab 3
Voraussetzungen / Organisatorisches:
Prerequisite for this course is good knowledge of PYTHON.

If you haven't programmed in PYTHON yet you have to take part in our PYTHON introduction course "Scientific Programming with PYTHON (SciProgPy)" which will take place during the week before all lectures begin. For further details please refere to the UnivIS course "SciProPy".

Inhalt:
These lectures provide a broad overview of simulation methods operating on length scales from the atomistic to the continuum scale. Simulation methods introduced include Molecular Dynamics, equilibrium and kinetic Monte Carlo simulation, mesoscopic methods such as e.g. Dislocation Dynamics and the Phase Field method, and continuum-level modeling of materials behavior in Finite Element simulations. The introduction of methods operating on different scales is complemented by a discussion of multiscale approaches, i.e. the linking of models operating on different scales. For most of the tutorials ‘Python’ will be used as programming language, which will be introduced in a separate short course (see above). This course is accompanied by practicals where the students will have the opportunity to numerically implement ‘one-scale’ models in a hands-on manner. This will be complemented by examples of information passing between different scales and the construction of simple multiscale models.
Schlagwörter:
multi scale simulation, monte carlo, phase field method, finite element

 

Multi-scale Simulation Methods I (Tutorial) [MuSiM I (T)]

Dozentinnen/Dozenten:
Stefan Sandfeld, Nina Gunkelmann
Angaben:
Übung, 1 SWS, ECTS: 1,5, nur Fachstudium
Termine:
Mi, 13:45 - 15:15, 0.157-115
siehe Bemerkungen zur entsprechenden Vorlesung / please see the comments for the lecture
ab 31.10.2016
Studienrichtungen / Studienfächer:
PF MAP-S-CMP 3
Schlagwörter:
multi scale simulation, monte carlo, phase field method, finite element

 

Scientific Programming with PYTHON [SciProgPy]

Dozentinnen/Dozenten:
Dominik Steinberger, Stefan Sandfeld, u.a.
Angaben:
Sonstige Lehrveranstaltung, 1 SWS, nur Fachstudium
Termine:
Blockveranstaltung 17.10.2016-28.10.2016 Mo-Fr, 15:00 - 18:00, CIP Pool WW
This course will be held as a compact block seminar during the first two weeks of lecture time, with each week covering the whole course. So you can pick the week you want to attend the course. This course is highly recommended for all students who take part in WW8 courses (e.g. MuSim 1 or FEM 1) and who don't have any prior PYTHON knowledge. Since only limited places are available for this course you have to sign up for this course on StudOn here: https://www.studon.fau.de/crs1648533.html
Studienrichtungen / Studienfächer:
WF MAP-S-CMP 3
Voraussetzungen / Organisatorisches:
The Python introduction course is not mandatory, but it is a prerequisite for taking any WW8 courses to have a solid foundation of PYTHON programming. We will evaluate your proficiency through a small test, which will help you to judge if the WW8 courses (as e.g. FEM 1/2 and MuSim 1/2) are suitable for you.
Since only limited places are available for this course you have to sign up for this course on StudOn here: http://www.studon.uni-erlangen.de/crs1308686.html



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