Development of an experimental database and kinetic models for surrogate diesel fuels

J. T. Farrell, N. P. Cernansky, F. L. Dryer, Chung King Law, D. G. Friend, C. A. Hergart, R. M. McDavid, A. K. Patel, C. J. Mueller, H. Pitsch

Research output: Contribution to conferencePaper

155 Scopus citations

Abstract

Computational fluid dynamic (CFD) simulations that include realistic combustion/emissions chemistry hold the promise of significantly shortening the development time for advanced high-efficiency, low-emission engines. However, significant challenges must be overcome to realize this potential. This paper discusses these challenges in the context of diesel combustion and outlines a technical program based on the use of surrogate fuels that sufficiently emulate the chemical complexity inherent in conventional diesel fuel. The essential components of such a program are discussed and include: (a) surrogate component selection; (b) the acquisition or estimation of requisite elementary chemical kinetic, thermochemical, and physical property data; (c) the development of accurate predictive chemical kinetic models, together with the measurement of the necessary fundamental laboratory data to validate these mechanisms; and (d) mechanism reduction tools to render the coupled chemistry/flow calculations feasible. In parallel to these efforts, the need exists to develop similarly robust models for fuel injection and spray processes involving multicomponent mixtures of wide distillation character, as well as methodologies to include all of these high fidelity submodels in computationally efficient CFD tools. Near- and longer-term research plans are proposed based on an application target of premixed diesel combustion. In the near term, the recommended surrogate components include n-decane, iso-octane, methylcyclohexane, and toluene. For the longer term, n-hexadecane, heptamethylnonane, n-decylbenzene, and 1-methylnaphthalene are proposed.

Original languageEnglish (US)
DOIs
StatePublished - Dec 1 2007
Event2007 World Congress - Detroit, MI, United States
Duration: Apr 16 2007Apr 19 2007

Other

Other2007 World Congress
CountryUnited States
CityDetroit, MI
Period4/16/074/19/07

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering

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    Farrell, J. T., Cernansky, N. P., Dryer, F. L., Law, C. K., Friend, D. G., Hergart, C. A., McDavid, R. M., Patel, A. K., Mueller, C. J., & Pitsch, H. (2007). Development of an experimental database and kinetic models for surrogate diesel fuels. Paper presented at 2007 World Congress, Detroit, MI, United States. https://doi.org/10.4271/2007-01-0201