Inverse Methods for Deblurring Pressure-Sensitive Paint Images of Rotating Surfaces

Image blurring is a problem encountered when pressure-sensitive paint is applied to rotating surfaces such as rotorcraft blades. The issue is particularly problematic near the leading and trailing edges of the blade; these are the regions where the impact of blurring is the most significant, yet the...

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Bibliographic Details
Published in:AIAA journal 2014-09, Vol.52 (9), p.2045-2061
Main Authors: Gregory, James W, Disotell, Kevin J, Peng, Di, Juliano, Thomas J, Crafton, Jim, Komerath, Narayanan M
Format: Article
Language:English
Subjects:
Aerodynamics
Aerospace engineering
Algorithms
Blades
Blurring
Constants
Evaluation
Paints
Parameter sensitivity
Point spread functions
Pressure distribution
Pressure gradients
Pressure-sensitive paints
Rotary wing aircraft
Rotating
Rotation
Stress concentration
Trailing edges
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Summary:Image blurring is a problem encountered when pressure-sensitive paint is applied to rotating surfaces such as rotorcraft blades. The issue is particularly problematic near the leading and trailing edges of the blade; these are the regions where the impact of blurring is the most significant, yet they also contain the most valuable pressure information. Recent work has developed image-deblurring techniques based on deconvolution of the image with a point-spread function based on the known lifetime decay of pressure-sensitive paint and the rotation speed of the blade. This deblurring technique is effective in recovering information at the blade edges when the amount of blurring is not too high. However, the existing deblurring algorithm assumes rectilinear motion and uniform distribution of luminophore lifetime (i.e., constant pressure distribution). The objective of this work is to relax the rectilinear assumption by allowing for rotational blur and to assess the impact of strong pressure gradients on the resulting deblurred pressure distribution. The new deblurring scheme is evaluated by experiments on a spinning disk with a known pressure field and a corotating, grazing nitrogen jet. The sensitivity of the deblurred results to various input parameters is evaluated, and recommendations for further algorithm development are provided.
ISSN:0001-1452
1533-385X
DOI:10.2514/1.J052793