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.
Engine Research Center; University of Wisconsin - Madison
SAE World Congress & Exhibition
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