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Weekly_2-21 - Weekly Progress Report#4 Background Oriented...

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Weekly Progress Report #4 Background Oriented Schlieren AAE 490R/590R 21 February 2008 Hrs. Worked Landon Baur John Tapee
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Progress in Brief – 2/21/08 Week’s Goals 1) Generate and test (qualitatively) additional backgrounds 2) Converge on camera/lens selection 3) Begin to investigate computational method/software to be used for quantitative measurements Week’s Accomplishments Background Images a. Pictures of the MSEE building in the engineering mall were taken with the new 75-300 mm zoom lens acquired for the Canon Digital Rebel camera and used as the background. Brick backgrounds were used for initial testing from the photos. Black and white lines were also used a background for testing initial backgrounds. Progress was made in terms of selecting a background, but more work needs to be done. b. Using a simple pattern of equal-thickness black and white lines at 45°, we created an upwards-scrolling background image. This was briefly testing using the dust cleaner can and the shop air nozzle, but the effect of the moving lines was hard to judge because it was difficult to hold the schlieren object still. This moving background approach will need to be analyzed against a fixed schlieren object. 2) Camera and Setup Testing a. We acquired a camera tripod and a remote shutter trigger in order to eliminate as much camera shake as possible when taking our pictures. With the small apertures needed to produce sufficient depth of field, the shutter speed will be relatively slow, and this was causing a substantial amount of blur when we took pictures without anything to stabilize the camera. b. We tested the system varying many parameters, including distance from camera lens to schlieren object, magnification, aperture setting, and shutter speed. The primary goal was to maximize the depth of field in the image, as a larger depth of field allows for larger distance between schlieren object and background (and, thus, greater schlieren sensitivity). We had mild success using the dust cleaner can as a sample schlieren object. 3) BOS Analysis Software a. We have selected “mpiv” as our PIV software of choice, as it runs on Matlab and seems fairly well regarded as a reliable PIV implementation. We gained a basic understanding of how it works as a PIV code. b. The time devoted to creating the moving background as described above increased our familiarity with Matlab’s image processing toolbox. This should help in understanding the details of “mpiv” so that we can isolate the code segments we should maintain and those we should modify for BOS use.
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