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Available Theses.

Bachelor and Master Theses

In our institute we can offer a variety of interesting subjects relating to Bachelor and Master theses. The topics are listed below.

Interested applicants should contact Prof. Marco Da Silva or the person responsible of the topic.

Analyzing Axial Gas Distribution in Bubble Columns Using Distributed Acoustic Sensing

Laser-based Distributed Acoustic Sensing (DAS) enables the measurement of physical quantities along kilometers of glass fibers and making it a key cross-sector technology. In collaboration with an international research partner, the goal is to optimize a patented method for measuring the axial gas dispersion within a bubble column reactors using DAS-technology. These complex reactors are relevant for many industrial processes, underscoring the need for the development of innovative monitoring approaches.

 

[Translate to Englisch:] DAS_SYSTEM

  • Theoretical analysis and review of existing patent details
  • Design and implementation of a simple sinusoidal valve control for time dependent gas injection
  • Design and execution of measurement series to assess the technique's usability and limitations
  • Visualization of measurement results

Contact: Yannik Schick M.Sc.

Flow rate measurement of multiphase mixtures based on tomographic sensor data

Currently there is a trend to apply tomography to investigate flow in pipes, where fast processes may occur (e.g. multiphase flow, chemical reactions in vessels). Flow rate measurement of multiphase mixtures is very challenging. Tomographic sensor data can be explored for this task.

Therefore at our institute the following points provide the possible scope of a Bachelor-/ Master Thesis.

Flow monitoring with wire-mesh sensor

  • Review of measurement techniques for flow determination
  • Study and implementation of two-dimensional cross-correlation Technique for tomographic data
  • Development of data processing and parameter extraction algorithms
  • System performance testing and evaluation based on synthetic and experimental data

Contact: Univ.-Prof. Dr. Marco Da Silva

Further development of a multi-electrode conductance
sensor (MECS) to determine air bubble velocities

A multi-electrode conductance sensor (MECS) was developed to validate a computational fluid dynamics (CFD) simulation of gas-liquid flows in pipes. The MECS measures changes in conductivity in the vicinity of its electrodes and thus deduces the presence of air bubbles. In order to be able to draw conclusions about the speed of the air bubbles, the sensor is to be extended by a further measurement level.

 

Multi-electrode conductance sensor

  • Review of conductive multi-phase flow measurements
  • Extend/Modify the existing circuit
  • Test the modified sensor on an experimental setup and gather measurements
  • Write an algorithm to determine the velocity of detected air bubbles (cross-correlation)

Contact: Univ.-Prof. Dr. Marco Da Silva

Combined electrical and optical probe for the investigation of colloidal systems

Colloidal systems are commonly found in the chemical industry and consist of a continuous high volume phase (usually a liquid) and a dispersed phase (such as droplets, gas bubbles, or suspended solids). For a detailed characterization of such systems, the combination of dielectric
and optical spectroscopy seems to be sought. However, as a new technology, such combined measurement systems require the design, development and testing of dedicated sensors and measurement circuits. The depth and scope of the work will be tailored as a BSc or MSc thesis.

 

Optical and dielectric spectroscopy in a chemical reactor

  • Review of dielectric and optical spectroscopy of colloidal systems
  • Design and implementation of dielectric spectroscopy probe
  • Design and implementation of optical spectroscopy probe
  • Combination of both systems in a single probe
  • Testing for a chosen application such as crystallization, liquid-liquid extraction, multiphase flow.

Contact: Univ.-Prof. Dr. Marco Da Silva

Spatially-resolved strain measurement with conductive elastomers for soft robotics

Imperceptible sensors are one of the key areas of research for wearable sensors in textiles or soft robots. In recent years, a number of highly conformable and compliant sensors have been introduced. However, many of them optimize for sensitivity without addressing the other essential dimensions of sensor quality: specificity and stability. In particular, stability in dynamic scenarios is often neglected and consequently some piezoresistive phenomena in polymeric materials are not fully understood. Spatially resolved techniques such as electrical impedance tomography or matrix-based sensors are promising avenues for improvement.

 

[Translate to Englisch:] Elektrische Impedanztomographie eines leitfähigen Elastomers

  • Implementation of combined digital image correlation and spatially-resolved impedance measurement system under varying strain
  • Measurement of the impedance-strain properties of conductive elastomers under dynamic loading conditions
  • Combination and evaluation of the spatially-resolved strain and impedance data
  • Analysis of interrelation between conductive elastomer properties and strain-impedance behavior

Contact: Dr.-Ing. Johannes Mersch

Particle-based modeling of electro-mechanical properties of carbon-filled elastomers

Conductive elastomers, which are based on carbon particles as fillers are an emerging field of research. Possible applications range from soft robots and artificial muscles to electrodes for electromyography. But especially the stability in dynamic scenarios is often neglected and consequently some piezoresistive phenomena in polymeric materials are not fully understood. Models that incorporate both the electrical connection and disconnection mechanisms between particles in the conductive network as well as the visco-elastic properties of the elastomer can drastically improve our understanding of dynamic piezoresistive phenomena.

 

[Translate to Englisch:] Visualisierung der Partikelsimulation

  • Development of 3D percolation model with particle-particle interactions in Python
  • Implementation of visco-elastic matrix properties for dynamic loading scenarios
  • Visualization of 3D conductive network
  • Verification of developed model and validation based on existing experimental data sets

Contact: Dr.-Ing. Johannes Mersch

 

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Johannes Kepler University Linz

Altenberger Straße 69

4040 Linz, Austria

Telephone +43 732 2468 0
Fax +43 732 2468 4929
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