Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/62264
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Type: Journal article
Title: Vortical flow analysis
Author: Wong, K.
Tu, J.
Kelso, R.
Citation: Journal of Mechanics in Medicine and Biology, 2010; 10(2):191-212
Publisher: World Scientific Publishing Co. Pte. Ltd.
Issue Date: 2010
ISSN: 0219-5194
1793-6810
Statement of
Responsibility: 
Kelvin K. L. Wong, Jiyuan Tu, Richard M. Kelso
Abstract: The minimization of errors due to random noise in statistical properties such as the mean and root mean square of a vorticity distribution is investigated. We map two-dimensional (2D) vorticity fields and present the distribution of vorticity with an intensity map. Then, we quantify the reliability of the visualization configuration using statistical properties of this distribution. To validate our methodology, we devise vortical flow fields based on the analytical Lamb–Oseen vortex. The reliability of the vorticity measurements from our results shows that the size of the flow vector sampling and random noise in the data affect the fidelity of the vorticity maps. Based on this analysis, we establish an optimised configuration that minimises the influence of noise on the computed vorticity histograms. The concept outlined in this study may be used to reduce the effects of noise in a vorticity calculation, and thereby improve the effectiveness of flow visualization.
Keywords: vorticity
flow visualization
reliability
histogram
Lamb–Oseen vortex
Rights: Copyright © 2010 World Scientific Publishing Co. All rights reserved.
DOI: 10.1142/S0219519410003319
Appears in Collections:Aurora harvest
Electrical and Electronic Engineering publications

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