Project duration: 01.01.2014 – 31.12.2015

Idea

In the field of organic and printed electronics like polymer solar cells, OLEDs or Li-Ion batteries there is a growing demand for thin functional layers with highly homogeneous surface topology. If these layers are coated from the liquid phase, the coating and drying steps affect the surface quality. During the drying process, Marangoni convection might occur, leading to surface inhomogeneities. To get a better understanding of convection process we apply μPIV using fluorescent nanoparticles to resolve the respective flow field in the liquid phase. In case of a 3D a multifocal system is used to acquire images in different layers at the same time. During experiment a 4 GB of data is recorded every second by 5 high-speed cameras. It is a challenge to analyze such amount of data interactively and extract particle trajectories. The objective of this study is to parallelize the data evaluation codes and optimize for latest GPU architectures from AMD and NVIDIA.

Required key technologies are:

  • Development of efficient ring detection algorithms for GPUs
  • Modular and configurable workflow of functions optimized for GPU

Results

Contact

Karlsruhe Institute of Technology
Herrmann-von-Helmholtz-Platz 1
76344 Eggenstein-Leopoldshafen, Germany
Suren Chilingaryan
suren.chilingaryan@kit.edu
P: +49 721 608-25693