Practical trainings, student assistants and theses

Geometric characterization of wire mesh mist eliminators (Id 358)

Student practical training / Bachelor theses / Master theses / Diploma theses / Student Assistant / Compulsory internship / Volunteer internship

Foto: Mist eliminator in distillation columns ©Copyright: Alexander DößThermal separation processes (e.g. distillation) are key basic operations in process engineering plants. The mass transfer is thus dependent on intensive counterflow interaction between the vapor and the liquid. The resulting turbulent flow causes droplets to be torn from the liquid phase by the vapor phase. This reduces the separation efficiency (energy efficiency and product quality) of the process. Simultaneously, droplets carried over to downstream equipment lead to corrosion, polymerization or fouling and increase component maintenance requirements.
For this reason, wire mesh mist eliminators are frequently used in practice. These separate entrained droplets as they pass through the close-meshed wire mesh. Characterization of their separation efficiency, capacity and pressure drop are essential for design and application. The focus of the work is the experimental determination and mathematical description of the pressure drop for knitted wire mesh separators as a function of their geometric properties.

Department: Experimental Thermal Fluid Dynamics

Contact: Döß, Alexander

Requirements

  • Background in process engineering, chemical engineering, mechanical engineering or related disciplines.
  • Interest in experimental work
  • Independent and result-oriented working
  • Safe handling of MS Office software
  • Confident knowledge of German or English language

Conditions

  • Work in a multidisciplinary team
  • Remuneration according to HZDR-internal tariff
  • Scientific excellence and extensive opportunities for professional networking
  • Start from November 2022 or earlier

Online application

Please apply online: english / german

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Motion tracking of autonomous sensor particles in industrial vessels (Id 335)

Master theses / Diploma theses / Compulsory internship

Foto: AutoSens_StirredReactor ©Copyright: fwdf (Mailgruppe)Data acquisition in large industrial vessels such as biogas fermenters or wastewater treatment plants is limited to local measurement points due to limited access to the vessel and the non-transparency of the fluid. To optimize these kinds of plants, the three-dimensional flow field and the spatial distribution of fluid properties such as temperature and electrical conductivity inside the vessel must be known. This can be achieved by the autonomous flow-following sensor particles developed by the HZDR. Equipped with a pressure sensor, an accelerometer, two gyroscopes and a magnetometer, the sensor particle can track the movement inside the vessels and derive the flow field from that. Additionally, the sensor particle gets position information by an ultra-wide-band based localization module (like GPS) as soon as it is on the fluid surface. The motion of the sensor particle is currently tracked with an error-state Kalman filter and yields a reliable tracking of the velocity and position, respectively. However, the tracking time is limited by the propagation of uncertainties of the inertial sensors through the filter. The objective of this master thesis is to extend this tracking time by the use of more advanced tracking algorithms like particle filter or other types of Kalman filters. This includes the following tasks:

  • Literature review of advanced filters for motion tracking
  • Theoretical comparison and implementing the most promising algorithm in Python
  • Verification and performance analysis based on experimental data

Department: Experimental Thermal Fluid Dynamics

Contact: Buntkiel, Lukas, Dr. Reinecke, Sebastian

Requirements

  • Studies in the area of electrical, mechatronic, mechanical engineering or similar
  • Basics of measurement uncertainty, digital signal processing
  • Data analysis in Python
  • Independent and structured way of working

Conditions

  • Start possible at any time
  • Duration according to the respective study regulations

Links:

Online application

Please apply online: english / german

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Techno-ökonomische Bewertung eines hybriden Energiespeichersystems basierend auf einem batteriegestützten Power-to-Methanol Prozess und erneuerbaren Energien (Id 331)

Master theses / Diploma theses

Das Institut für Fluiddynamik des Helmholtz-Zentrums Dresden-Rossendorf (HZDR) beschäftigt sich unter anderem mit Fragen der Modellbildung und Simulation von verfahrenstechnisch eng gekoppelten Power-to-X-Systemen bestehend aus den Teilprozessen Hochtemperaturelektrolyse (Solid Oxide Electrolyzer Cells) und heterogen katalysierten Syntheseprozessen von synthetischen Energieträgern der Zukunft (Methanol, Methan, usw.) unter stofflicher Nutzung anthropogener Kohlenstoffdioxidemissionen und regenerativ produziertem Strom. Auf Basis eines bereits existierenden Modells eines Power-to-Methanol Prozesses und eines ebenfalls vorliegenden techno-ökonomischen Teilmodells (TEA) soll die Wirtschaftlichkeit der dezentralen Produktion von Methanol mit Hilfe von erneuerbarem Strom in Kopplung mit großen Batteriespeichern untersucht werden.
Zur Realisierung dieser Aufgabe bietet die Abteilung Experimentelle Thermofluiddynamik für Studenten der unten genannten Studiengänge studienbegleitende Tätigkeiten zur beschriebenen Thematik an. Die Voraussetzung ist die Anfertigung einer Diplom- oder Masterarbeit.

Folgende Teilarbeiten sind durchzuführen:

  • Literaturrecherche zu hybriden Energiespeichersystemen basierend auf Power-to-Methanol Prozessen und Batteriespeichern hinsichtlich Prozessdesign und Wirtschaftlichkeit,
  • Literaturrecherche zur mathematisch-physikalischen Modellierung von Batteriespeichern und Erstellung eines einfachen Batteriespeichermodells mittels Matlab,
  • Ermittlung der ökonomischen Randbedingungen für großskalige Batteriespeicher auf Basis von Literaturdaten,
  • Untersuchung der Wirtschaftlichkeit des hybriden Energiespeichersystems für ein vorgegebenes Anschlussszenario für den Betrieb mit erneuerbaren Energiequellen.

Department: Experimental Thermal Fluid Dynamics

Contact: Fogel, Stefan

Requirements

  • Student (w/m/d) der Studiengänge Wirtschaftsingenieurwesen, Chemieingenieurwesen, Verfahrenstechnik, Energietechnik, Maschinenbau oder ähnlicher fachlicher Ausrichtung,
  • Grundkenntnisse in Matlab wünschenswert,
  • Sorgfältige, kreative und selbstständige Arbeitsweise,
  • Gute Sprachfertigkeiten (oral/schriftlich) in englischer und deutscher Sprache,
  • Freude an der wissenschaftlichen und eigenständigen Arbeit.

Conditions

Bearbeitungszeit: 6 Monate (Beginn ab sofort)

Online application

Please apply online: english / german

Druckversion


CFD simulation of gas-liquid flow in tray columns (Id 304)

Master theses / Diploma theses / Compulsory internship

Foto: Eye-Catcher ColTray-CFD ©Copyright: Dr. Philipp WiedemannTray columns are used for thermal separation of multicomponent mixtures in the chemical industry. Owing to increased energy supply from renewable sources a more flexible operation of such apparatuses is already demanded. However, enlarged over- and underload modes are challenging with respect to design. Basically, computational fluid dynamics provide a powerful support by predicting the complex two-phase flow on the tray and its application is hence investigated in a current research project.
For that purpose, a hybrid multiphase flow model was adapted for the present simulation task by implementing local mass and momentum sources to mimic the gas inlets from the tray into the froth zone. Additionally, a pre-processing tool was developed that allows for automatic generation of the computational domain and adjustment of boundary conditions.
Within the frame of a current research project we offer a student internship position for applying the developed multi-phase CFD model. The candidate needs to perform simulations and to evaluate the results by comparison with available experimental data. Special focus is put on the influence of different tray designs and operating conditions.

Department: Experimental Thermal Fluid Dynamics

Contact: Dr. Wiedemann, Philipp

Requirements

  • studies in chemical/process/energy/mechanical/computational engineering
  • substantiated knowledge in the field of CFD, preferably OpenFOAM
  • creativity and problem-solving skills
  • good written and oral communication skills in English and German

Conditions

  • start: from Oct. 2022
  • working in a multi-disciplinary team
  • remuneration according to HZDR internal regulations

Links:

Online application

Please apply online: english / german

Druckversion