240101: Evaluating the tracing efficacy of various aromatics for highly diffusive gases

Hydrogen is an attractive fuel in the ongoing shift away from hydrocarbon-based fuels. Its application for spark-ignited internal combustion engines involves conventional direct injection in the cylinder. The mixing of fuel and air in this case is subject to much research. Diagnostic methodologies for it predominantly lean on non-intrusive optical techniques. Hydrogen is, transparent, possesses a distinct diffusion behaviour and has associated safety concerns due to its flammability. On the other hand, the inert gas Helium is safe to work with, and shares comparable diffusion properties with Hydrogen. Hence, in open air laboratory experiments Helium is the preferred surrogate.

In many optical diagnostic techniques, often tracers are added to the transparent gas to make it visible. In this project, the aim is to study the tracing efficacy of various aromatics for highly diffusive gases such as Helium and Hydrogen. A jet composed of Helium and the tracer is to be imaged using the existing background-oriented schlieren (BOS) and laser induced fluorescence (LIF) methods. The candidate is to engage in design, implementation calibration and measurement of a test-bench, and perform the post-processing of results to for identification of length scales under which aromatics trace are not capable of tracing the diffusive transport.

The candidate must have a good grasp of fluid dynamics and ideally have some experience with experiments and handling of optical equipment. The results of this work can potentially be published in a peer-reviewed journal with international recognition.

​For further information please contact: khadijeh.mohri@uni-due.de.​

Measured BOS deflections for a Helium jet emanating into atmospheric air.
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240100: A beam-bending H₂ flame detector

The detection of Hydrogen flames is a prerequisite for safety considerations in the ever-growing hydrogen (H₂) energy systems. Its nearly invisible pale blue colour, especially in daylight, and low radiant heat that is usually only detectable very close to the flame, call for a reliable detection system to aid in effective safety control features such as shut-down, alarm activation, ventilation activation (when needed) and so on.

In this project, the concept of beam bending that is similar to the schlieren or background oriented schlieren (BOS) methods is to be utilised for the design of an optical detection system. The changes in refractive index within a reacting gas (flame) will bend light rays. The deflection of the light rays can be measured either by imaging a background pattern behind the combusting flow, or by aligning a light emitter and detector on opposite sides of the volume of interest. In the first phase, a weak laser pointer (low enough energy to prevent damage to the sensor) and a surveillance camera will be positioned around a flame for measurements to test the concept. Additionally, the existing BOS method of the group will be utilised to measure deflections on a background pattern behind the flame using a second camera. The two methods should be tested in terms of applicability and sensitivity. 

The candidate must have a good grasp of MATLAB and the capability to perform optical experiments in the lab. Additionally, C programming experience is considered advantageous. The results of this work can potentially be published in a peer-reviewed journal with international recognition.

​For further information please contact: khadijeh.mohri@uni-due.de​.

Light beam deflection due to varying refractive index in a reacting flow.
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200101: Tomographic reconstruction of flames emanating from a matrix burner

A matrix burner, shown in Fig. 1, which constitutes 21 laminar diffusion jet flames should be investigated. This project will include two main tasks:

1. Perform phantom studies using a numerical field that replicates the flame configuration.
2. Build up the experiment and obtain the images required for reconstructing the chemiluminescence field using our in-house tomographic algorithm. An example of a highly turbulent flame that was previously reconstructed with the algorithm in shown in Fig. 2.

Multiple projections of the flames are needed from different angles around the burner to perform the reconstructions. Since the flames are steady, a single CCD camera can be used in the experiment, and either the burner is rotated about an axis, or the camera should be rotated around the burner.

For further information please contact: khadijeh.mohri@uni-due.de.

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Fig. 1: Matrix burner
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Fig. 2: Previously reconstructed swirl flame
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200200: Analysis of the manufacturing process in laser power-bed fusion of metals using background-oriented schlieren (BOS) imaging

Laser powder-bed fusion

Laser powder-bed fusion is an additive manufacturing process that is used for 3D printing of metals. A focused laser beam fuses particulate materials, layer by layer to form the 3D object. The consistency and quality of the final product is influenced by several factors including airborne particles, fumes and metallic vapours in close vicinity of the processing region, which possesses short length and time scale variations. Therefore, a high-speed camera with sufficient sensor resolution has been purchased for the diagnostics.

Project description

In this project, high-speed imaging of the density gradients in the gaseous flow using background-oriented schlieren imaging will be used to understand the physical phenomena taking place in the hot plume atmosphere above the powder bed.

The candidate must have high competency in programming skills and using MATLAB, understand fluid flow and working with optics, as well as the interest to perform laboratory experiments. Prior knowledge of schlieren imaging, different manufacturing techniques and fluid flow, in particular plasmas, will be advantageous. 

​For further information please contact: khadijeh.mohri@uni-due.de​.

200203: Experimental validation of the spatial resolution from tomographic imaging

We obtain instantaneous and time-averaged 3D information from experiments by combining different types of measurements with computed tomography (CT). For example, flame chemiluminescence measurements are used by a CT algorithm to reconstruct the structures within a combusting flow in our computed tomography of chemiluminescence (CTC) techniques. The aim of this project is to design an experiment which allows us to determine the spatial resolution achievable by our CTC methods. solid structures of known sizes, that represent a flame, should be imaged by the array of cameras in the setup for CTC. The structures should be opaque, and emit light in the visible range. The images will then be used to reconstruct the scene and the size of the calculated structures should be compared with the physical size. The tests should be conducted for different types of structures, representing different complexities within the scene and a metric for quantification of the spatial resolution should be devised.

​For further information please contact: khadijeh.mohri@uni-due.de.

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Image of the existing tomography setup around a burner.
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200204: Tomographic particle tracking velocimetry (Tomo-PTV)

Computed tomography (CT) can be combined with different types of measurements, such as emission or absorption, to estimate the volumetric distribution of  different parameters. The measurements are made from different angles around a probe volume (views), and are fed into an algorithm that calculates the three-dimensional (3D) field. In this project, we want to combine PTV with CT using our in-house tomography algorithms, to produce the 3D location of particles in a complex turbulent flow field. A phantom study needs to be performed first, to adapt the tomography algorithm and characterise its behaviour. A phantom is an exactly known field, that can be generated numerically through simulations for example, and allows for a quantitative analysis of the tomography by comparing the original and reconstructed phantoms. The study must look at the effect of particle concentration and number of views on the accuracy of the reconstructed particle field.

The candidate must have strong numerical skills, understanding of fluid mechanics - in particular turbulence. A summary of the thesis shall be turned into a research paper that can be submitted to an international journal or conference.

​For further information please contact: khadijeh.mohri@uni-due.de.​
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PTV concept
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200205: Finding the optimal camera arrangement in 3D space for flame tomography

Several cameras are usually arranged around a burner to image the naturally occurring chemiluminescent light from the flame. The images are then used by a tomography algorithm to calculate the 3D chemiluminescence field. The number and arrangement of the cameras affects the quality of the reconstructed fields. A phantom study should be conducted to systematically vary the arrangement of multiple cameras in 3D space around a burner, to determine the best camera distribution. Our in-house evolutionary reconstruction technique can be used for this. The candidate must be very competent in programming skills and be able to adapt the existing code accordingly and work with it.

For further information please contact:  khadijeh.mohri@uni-due.de.

Illustration of camera location in 3D space,
Unterbeger et al., IEEE International Conference on
Image Processing (2019)
 

200206: Web-hosted tomographic reconstruction on any device: Go3D APP

The aim in this project is to reconstruct the instantaneous 3D flame shape using multiple images of the chemiluminescence light that are captured from different angles around the flame using a mobile phone or tablet. Our existing calibration and tomography algorithms should be combined in an App for automated online reconstructions. Familiarisation with an App development code, e.g. RStudio’s Shiny is required. The handling of our calibration and tomography procedure should be completed, at first offline. A server account has to be prepared on which the App should be executed with a simple first demonstration case. The candidate must have very high competence in programming, and very good grades in mathematics, computer graphics, numerical courses and other related subjects. Previous experience in App development will be beneficial.

For further information please contact:  khadijeh.mohri@uni-due.de.

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