Data Normalization Schemes for Assessing Mixture Stratification from PLIF Data

Event
SAE World Congress & Exhibition
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2008-01-1070
Pages
11
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.
Additional Details
Publisher
Published
Apr 14, 2008
Product Code
2008-01-1070
Content Type
Journal Article
Language
English