En bedömning av färgschlierenfotografering av överljudsflöden
Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Research in aerodynamics and flow physics often require visual experiments in order to understand thephenomenon at work. These experiments can be very sensitive, and in order to capture and image theseevents a non-intrusive imaging technique is very useful. Schlieren photography is such a technique, able tocapture changes in density in a fluid, by recording light waves refracted along the light ray path through themedium. This is all done without injecting anything into the flow field, such as dye or small objects, whichis common in other techniques. For supersonic research purposes schlieren has been used for a long time,however colour schlieren may be able to capture additional information about the flow in the experiment.Colour schlieren can be achieved in many different ways, however this thesis focuses on the use of two maintechniques. For supersonic flow imaging, a density gradient directiona detection schlieren system and adensity gradient magnitude detection system. The magnitude indicating system has been designed, howevernot tested (due to practical complications). The gradient direction system was tested and analysed in orderto assess the use of this technique in supersonic flow research. This thesis concludes that this is indeed avery good method, capable of distinguishing different directions in the density gradient (coded by colour) aswell as providing a clear image of the flow in the medium. These results may also be used quantitatively inorder to calculate more precise gradient directions.
Place, publisher, year, edition, pages
2015. , 40 p.
Teknik, Schlieren, photography, supersonic flows, aerodynamics, flow visualization
IdentifiersURN: urn:nbn:se:ltu:diva-55538Local ID: c6576c56-00b1-467c-90ae-fd8bf562b728OAI: oai:DiVA.org:ltu-55538DiVA: diva2:1028922
Subject / course
Student thesis, at least 30 credits
Space Engineering, master's level
Validerat; 20151012 (global_studentproject_submitter)2016-10-042016-10-04Bibliographically approved