4.3 Article

A Multicomponent Blend as a Diesel Fuel Surrogate for Compression Ignition Engine Applications

Publisher

ASME
DOI: 10.1115/1.4030416

Keywords

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Funding

  1. U.S. Department of Energy Office of Science laboratory [DE-AC02-06CH11357]
  2. DOEs Office of Vehicle Technologies, Office of Energy Efficiency and Renewable Energy [DE-AC02-06CH11357]
  3. U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences, and Biosciences [DE-AC02-06CH11357]
  4. National Science Foundation
  5. Department of Energy through NSF-DOE Partnership on Advanced Combustion Engines Program [CBET-1258646]
  6. U.S. Department of Energy by Lawrence Livermore National Laboratory [DE-AC52-07NA27344]
  7. U.S. Department of Energy, Office of Vehicle Technologies
  8. Directorate For Engineering
  9. Div Of Chem, Bioeng, Env, & Transp Sys [1258646] Funding Source: National Science Foundation

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A mixture of n-dodecane and m-xylene is investigated as a diesel fuel surrogate for compression ignition (CI) engine applications. Compared to neat n-dodecane, this binary mixture is more representative of diesel fuel because it contains an alkyl-benzene which represents an important chemical class present in diesel fuels. A detailed multicomponent mechanism for n-dodecane and m-xylene was developed by combining a previously developed n-dodecane mechanism with a recently developed mechanism for xylenes.The xylene mechanism is shown to reproduce experimental ignition data from a rapid compression machine (RCM) and shock tube (ST), speciation data from the jet stirred reactor and flame speed data. This combined mechanism was validated by comparing predictions from the model with experimental data for ignition in STs and for reactivity in a flow reactor. The combined mechanism, consisting of 2885 species and 11,754 reactions, was reduced to a skeletal mechanism consisting 163 species and 887 reactions for 3D diesel engine simulations. The mechanism reduction was performed using directed relation graph (DRG) with expert knowledge (DRG-X) and DRG-aided sensitivity analysis (DRGASA) at a fixed fuel composition of 77% of n-dodecane and 23% m-xylene by volume. The sample space for the reduction covered pressure of 1-80 bar, equivalence ratio of 0.5-2.0, and initial temperature of 700-1600K for ignition. The skeletal mechanism was compared with the detailed mechanism for ignition and flow reactor predictions. Finally, the skeletal mechanism was validated against a spray flame dataset under diesel engine conditions documented on the engine combustion network (ECN) website. These multidimensional simulations were performed using a representative interactive flame (RIF) turbulent combustion model. Encouraging results were obtained compared to the experiments with regard to the predictions of ignition delay and lift-off length at different ambient temperatures.

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