Modeling and Simulation of Disperse Systems

What it is about

You learn how dispersed/particulate systems are characterized, modeled, and numerically simulated. The focus is on two approaches: Discrete Element Methods (DEM) for simulating individual particles and Population Balance Models (PBM) for describing the size distribution and its temporal/spatial evolution. In the end you can apply both methods, run simulations, and report results scientifically.

What you will be able to do

Familiarity with industrial dispersed/particulate systems and application examples
Characterization and classification of disperse systems
Understanding the concepts and formulations of DEM and PBM
Simulation of simple cases in an open-source DEM software
Application of class- and moment-methods to solve PBEs
Writing and presenting a scientific report

What the module consists of

VorlesungDelivery of the mathematical foundations of DEM and PBM (equations of motion, collision models, derivation of population balance)
Übung/TutorialNumerical implementation: adapt simple cases and program simulations
Projekt/Praktische SimulationenConducting case studies with open-source DEM software and PBM solvers
PräsentationDiscussion and presentation of simulation results

Teaching method

Vorlesung (online, Zoom)Explanation of the mathematical foundations and models
Praktische Übungen/TutorialsPractice of numerical implementation and simulations
Projektreport und PräsentationApplication of methods in case studies and training of scientific reporting and presentation techniques

What you should already know

Verfahrenstechnik disperser Systeme (oder ähnlich)recommended

Assessment

Written reportPresentation

During the semester you write a detailed report (15–20 pages including figures) about two different simulations (DEM or PBM). The report accounts for 75% of the final grade and is evaluated mainly on the procedures, applied simulation techniques, and presentation and discussion of the results. In addition, you give a one-person presentation about your report, which constitutes 25% of the grade and assesses the ability to discuss the methods and results.

Reading list

Pöschel, T.; Schwager, T. - Computational granular dynamics: Models and algorithms
Kumar, S.; Ramkrishna, D. - On the solution of population balance equations by discretization - I. A fixed pivot technique
Kumar, S.; Ramkrishna, D. - On the solution of population balance equations by discretization - III. Nucleation, growth and aggregation of particles
Marchisio, D. L.; Fox, R. O. - Solution of population balance equations using the direct quadrature method of moments

Dates

LectureModellierung und Simulation disperser Systeme2 groups to choose from

ATue14:00–15:30
1.OG 29, Seminarraum (4226.01.029)
14× · 20.10.–02.02.
- 20.10.
- 27.10.
- 03.11.
- 10.11.
- 17.11.
- 24.11.
- 01.12.
- 08.12.
- 15.12.
- 22.12.
- 12.01.
- 19.01.
- 26.01.
- 02.02.
BTue14:30–16:00DG 01, Konferenzraum IGZW (4226.03.001)once on 13.10.

ExerciseModellierung und Simulation disperser Systeme

Thu14:00–15:00
Online: Videokonferenz
12× · 29.10.–04.02.
- 29.10.
- 05.11.
- 12.11.
- 19.11.
- 26.11.
- 10.12.
- 17.12.
- 07.01.
- 14.01.
- 21.01.
- 28.01.
- 04.02.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

Filters