Open AccessHydroxyl Tagging Velocimetry and Methods of Dynamic Image Analysis
Author(s) -
Jonathan Hogan Webb
Publication year - 2006
Publication title -
vanderbilt undergraduate research journal
Language(s) - English
Resource type - Journals
ISSN - 1555-788X
DOI - 10.15695/vurj.v2i0.2733
Subject(s) - software , supersonic speed , mach number , particle image velocimetry , velocimetry , computer science , scramjet , current (fluid) , computational fluid dynamics , aerospace engineering , flow (mathematics) , work (physics) , acoustics , mechanical engineering , physics , optics , engineering , mechanics , combustion , chemistry , electrical engineering , combustor , turbulence , organic chemistry , programming language
This article presents the method of analyzing a mach 2 flow of air through a scramjet and over a cavity using hydroxyl tagging velocimetry (HTV). This method is of particular use in supersonic engines, where, fuel is ignited by a flame protected from airflow by a cavity. Emphasis of the experiment discussed is placed on the image analysis portion of the HTV experiments. The current software used to analyze laser intersections, created by Michigan State University, is user-intensive and inefficient because of the large number of inputs needed to produce a result. The conceptual method behind this imaging software is explained along with the mathematical algorithms related to the spatial correlation technique. The spatial correlation technique offers a way to determine the distance that an object has moved from one photograph to another. This work focuses on improvements to the dynamic analysis of images to expand the applicability of current software tools. The failures and successes of each method are explained.