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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(A)]

Dozent/in:
Manuel Münsch
Angaben:
Vorlesung, 2 SWS, nur Fachstudium
Termine:
Di, 12:15 - 13:45, EE 0.135
Studienrichtungen / Studienfächer:
PF MAP-S-CMP 3
Voraussetzungen / Organisatorisches:
Since the course NMTFD1 is part of the international program Computational Engineering, lectures, exercises and practical training will be given online until further notice.
Hereby students who are currently still located in their home country due to the pandemic situation are able to follow the course.
Further details will be given during the first lecture on 19.10.2021 (16:15-17:45). This lecture will be organized via Zoom. Please establish your own FAU account, see for example:
https://www.rrze.fau.de/medien-entwicklung/digitales-arbeiten/zoom/
https://fau.zoom.us/
Further information (especially: Link to the first Zoom lecture) and documents will be provided via the StudOn page of the NMTFDI course:
https://www.studon.fau.de/crs3372771.html
Please sign up as soon as possible to make sure that all updates will reach you:
https://www.studon.fau.de/crs3372771_join.html
Use NMTFD-is-fun to get access.
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

(automatisch geplant, erwartete Hörerzahl original: 36, fixe Veranstaltung: nein)

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

 

Numerische Methoden der Thermofluiddynamik - Übung [NMTFD UE(A)]

Dozentinnen/Dozenten:
Manuel Münsch, Simon Wagner
Angaben:
Übung, 1 SWS, nur Fachstudium
Termine:
Do, 10:15 - 11:45, 02.224 Cauerstr.9
Studienrichtungen / Studienfächer:
PF MAP-S-CMP 3
Voraussetzungen / Organisatorisches:
Since the course NMTFD1 is part of the international program Computational Engineering, lectures, exercises and practical training will be given online until further notice.
Hereby students who are currently still located in their home country due to the pandemic situation are able to follow the course.
Further details will be given during the first lecture on 19.10.2021 (16:15-17:45). This lecture will be organized via Zoom.
Please establish your own FAU account, see for example:
https://www.rrze.fau.de/medien-entwicklung/digitales-arbeiten/zoom/
https://fau.zoom.us/
Further information (especially: Link to the first Zoom lecture) and documents will be provided via the StudOn page of the NMTFDI course:
https://www.studon.fau.de/crs3372771.html
Please sign up as soon as possible to make sure that all updates will reach you:
https://www.studon.fau.de/crs3372771_join.html
Use NMTFD-is-fun to get access.
Inhalt:
The theory given in the lectures is extended and applied to several transport problems in this exercise class:
  • discretization of the Blasius similarity equations

  • parabolization and discretization of the boundary layer equations

  • finite-Difference discretization of heat-transfer problems

  • approximation of boundary conditions

  • finite-Volume discretization of heat-transfer problems

  • discretization and time-stepping of the Navier-Stokes equations

  • projections methods: the SIMPLE and PISO Methods

The students who successfully solve the exercises should:

  • be able to discretize transport problems with the finite-difference and the finite-volume methods

  • discretize several type of boundary conditions (no-slip, flux, mixed)

  • understand how the implementation of projection methods to solve the Navier-Stokes equation is done

  • work in team

(automatisch geplant, erwartete Hörerzahl original: 36, fixe Veranstaltung: nein)

 

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

Dozent/in:
Paolo Moretti
Angaben:
Vorlesung, 1 SWS, ECTS: 1,5, nur Fachstudium, The course will take place in presence. The introductory lectures will be held online.
Termine:
Mo, 08:15 - 09:45, 0.85
First lecture on 04.11.2021
Studienrichtungen / Studienfächer:
WPF MAP-S-CMP ab 3
Voraussetzungen / Organisatorisches:
Please attend the course "Scientific Programming with Python". For further details please refer to the UnivIS page of the course.
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. (automatisch geplant, erwartete Hörerzahl original: 8, fixe Veranstaltung: nein)
Schlagwörter:
multi scale simulation, monte carlo, phase field method, finite element

 

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

Dozent/in:
Paolo Moretti
Angaben:
Übung, 1 SWS, ECTS: 1, nur Fachstudium
Termine:
Do, 16:15 - 17:45, 0.68
First lecture on 04.11.2021. Please see the comments for the lecture.
Studienrichtungen / Studienfächer:
PF MAP-S-CMP 3
Schlagwörter:
multi scale simulation, monte carlo, phase field method, finite element

 

Scientific Programming with Python

Dozent/in:
Paolo Moretti
Angaben:
Seminar, 1 SWS, nur Fachstudium, StudOn page of the pre-course: https://www.studon.fau.de/crs2330753_join.html
Termine:
Zeit/Ort n.V.
Studienrichtungen / Studienfächer:
WF MAP-S-CMP 3
Voraussetzungen / Organisatorisches:
Please register in advance at the StudOn page of the course: https://www.studon.fau.de/crs2330753_join.html



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