Abstract
In this study, the preferential evaporation behavior of diesel fuel is investigated using a discrete continuous multicomponent (DCMC) evaporation model. By analyzing real diesel fuel composition data from a 2D gas chromatography (GCxGC) measurement, 180 individual species from 11 different hydrocarbon families could be identified. To utilize these detailed composition data in the DCMC model, four continuous distribution functions for normal paraffins, mono-naphthenics, mono-aromatics, and naphthenic-mono-aromatics have been derived, which cover 80% of the total diesel composition. A specific property database for these hydrocarbon groups was established and suitable correlations were derived. The DCMC model was validated with experimental results of evaporating acoustically levitated single diesel droplets. Gas temperatures up to 200 °C were investigated, where the diesel fuel did not evaporate completely due to the presence of very long-chain compounds with low volatilities. The DCMC model using the experimentally-based diesel composition successfully captures this trend. To prove the importance of using the DCMC model with experimentally based fuel composition data at diesel engine conditions, a single droplet was exposed to a gas environment of 700 °C. Here, the diesel droplet showed the longest lifetime, while dodecane, which is commonly used in diesel surrogate mixtures, evaporated significantly faster.
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