Advertisement
Published in:
2010 | OriginalPaper | Chapter
Pattern Recognition in High Speed Schlieren Visualization at the High Enthalpy Shock Tunnel Göttingen (HEG)
Authors : J. Wolfram, J. Martinez Schramm
Published in: New Results in Numerical and Experimental Fluid Mechanics VII
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.