IPE 04-20 Internship or Master Thesis: GPU-assisted tracking of single bubbles in multiphase flows
Karlsruhe Institute of Technology (KIT) – The Research University in the Helmholtz Association creates and imparts knowledge for the society and the environment. It is our goal to make significant contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 9300 employees of KIT cooperate in a broad range of disciplines in research, academic education, and innovation.
Institute for Data Processing and Electronics (IPE)
Multiphase flows in fluidized beds are complex and difficult to observe because of their dynamics. But exact information on gas distribution and fluid transport is essential for many chemical processes, such as fluid catalytic cracking and polymerization, drying, combustion, granulation, purification or coating. To study such flows, the ultrafast X-ray tomography system ROFEX has been developed at TU Dresden. With frame rates of up to 10,000 fps the fast processes even in opaque media can be monitored in 3D. At the downside the high frame rates result in large data streams that need to be analyzed online
in order to track single bubbles and to control the scanner position according to movement of the tracked structures along the height of the column.
The goal of the Master thesis is to develop and characterize a set of imaging algorithms to track single bubbles within a bubble swarm in the column. For this purpose a sequence of image processing steps has to be performed online: First the tomographic images have to be reconstructed. Bubbles have to be identified and a control decision how to move the detector has to be made. Time constrains are given by estimated number of 80 control
decisions per second for real-time operation. For scenarios with turbulences even a higher decision rate may be required. The thesis is considered as a prominent example for future data acquisition systems with embedded realtime image analysis.
Good background in computer vision, strong knowledge of C/C++ programming. Prior experience in parallel programming using CUDA or OpenCL is a plus
According to the study regulations
Contact person in line-management
Dr. Suren Chilingaryan, IPE, phone: 0721 608 26579 (suren.chilingaryan@kit edu)
Dr. Andreas Kopmann, IPE, phone: 0721 608 2491(Andreas.kopmann@kit edu)
If qualified, severely disabled persons will be preferred.
Please apply online using the button below for this vacancy number IPE 04-20.
Personnel Support is provided by
Telefon: +49 721 608-25184,
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