Schlieren Tomography to Visualize Three-Dimensional Supersonic Flows
This work describes a way to deduce the 3D density gradient field using a set of focusing schlieren images taken close to each other. Focusing schlieren gives density gradient information corresponding to a narrow focal plane. However, it still contains contributions from adjacent planes, and it depends on the focusing optics. This work used 3D deconvolution algorithm to solve this problem. The point spread function (PSF) of the optical system is estimated experimentally, and the noise is modeled statistically. The deconvolution results show that the contribution from adjacent planes is minimized, and thus this tomographic approach can lead to better understanding of 3D compressible flows.
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