Data Normalization Schemes for Assessing Mixture Stratification from PLIF Data 2008-01-1070
Planar laser-induced fluorescence (PLIF) has become a useful diagnostic for the quantification of in-cylinder flowfield conditions, and in many applications determining the homogeneity of the in-cylinder flowfield is of primary importance. In some cases, noise associated with this imaging technique (i.e., camera noise, shot-to-shot laser energy variation, and laser sheet profile variations) can dominate the flowfield inhomogeneities, leading to biased mixture stratification statistics. Presented herein are three data normalization schemes (global-, image-, and ray-mean) that can be used to correct for these noise sources when assessing mixture stratification from PLIF data. The normalization schemes are applied to in-cylinder PLIF data obtained over a wide range of inhomogeneity levels, and the conditions over which the use of each normalization scheme is appropriate are discussed.
Citation: Herold, R. and Ghandhi, J., "Data Normalization Schemes for Assessing Mixture Stratification from PLIF Data," SAE Int. J. Fuels Lubr. 1(1):559-569, 2009, https://doi.org/10.4271/2008-01-1070. Download Citation
Author(s):
R. E. Herold, J. B. Ghandhi
Affiliated:
Engine Research Center; University of Wisconsin - Madison
Pages: 11
Event:
SAE World Congress & Exhibition
ISSN:
1946-3952
e-ISSN:
1946-3960
Also in:
Combustion and Flow Diagnostics and Fundamental Advances inThermal and Fluid Sciences, 2008-SP-2178, SAE International Journal of Fuels and Lubricants-V117-4EJ, SAE International Journal of Fuels and Lubricants-V117-4
Related Topics:
Imaging and visualization
Noise
Lasers
Statistical analysis
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