Pattern Recognition in High Speed Schlieren Visualization at the High Enthalpy Shock Tunnel Göttingen (HEG)

  • J. Wolfram
  • J. Martinez Schramm
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 112)


Time resolved digital high speed image recordings of flow properties using schlieren and shadowgraph methods have become standard tools in today’s investigations of hypersonic flows. Postprocessing is often necessary to enhance image quality, followed by quantitative image analysis to measure important flow features. Therefore, a software has been developed allowing flexible design of evaluation workflows and a high degree of automation. Evaluation of shock stand-off distance and shock angle in experimental visualization series at HEG can be carried out. Even force prediction based on analysis of model displacement has been realized. The tool and design considerations based on typical problems of hypersonic flow visualization are discussed. Flow image analysis processes and results using a pattern recognition approach known as “Hough transformation” are presented.


Mach Number Combustion Chamber Force Prediction Shock Angle Pattern Recognition Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • J. Wolfram
    • 1
  • J. Martinez Schramm
    • 1
  1. 1.German Aerospace Center (DLR)Institute of Aerodynamics and Flow Technology, Spacecraft SectionGöttingenGermany

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