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Numerical Analysis of Ethanol and 2-Butanone Direct Injection in an Internal Combustion Engine

In: High Performance Computing in Science and Engineering '20

Author

Listed:
  • Tim Wegmann

    (RWTH Aachen University, Institute of Aerodynamics)

  • Sven Berger

    (RWTH Aachen University, Institute of Aerodynamics)

  • Matthias Meinke

    (RWTH Aachen University, Institute of Aerodynamics)

  • Wolfgang Schröder

    (RWTH Aachen University, Institute of Aerodynamics
    RWTH Aachen University, JARA Center for Simulation and Data Science)

Abstract

The mixture formation of air and the gasoline surrogates Ethanol and 2-Butanone is numerically investigated using large-eddy simulations of the direct-injection into an internal combustion engine. The multiphysics solver m-AIA (multiphysics- Aerodynamisches Institut Aachen) is used, which is based on a finite-volume method with a fully coupled Lagrangian particle tracking model for fuel spray applications formulated for hierarchical cartesian grids. The validation of the spray model is performed by comparison with pressure chamber measurements, where a good agreement for the spray penetration is obtained. PIV Measurements of the in-cylinder flow-field are used to validate the flow field simulation results in the internal combustion engine by comparing cycle averaged data for the flow field. The mixture formation for the two biofuels is investigated under engine conditions. The higher evaporation rate of 2-Butanone leads to significant differences in the spray distribution. The lower liquid penetration of the 2-Butanone spray together with unfavorable three-dimensional flow-field effects lead to a non-optimal mixture formation for 2-Butanone at the start of ignition.

Suggested Citation

  • Tim Wegmann & Sven Berger & Matthias Meinke & Wolfgang Schröder, 2021. "Numerical Analysis of Ethanol and 2-Butanone Direct Injection in an Internal Combustion Engine," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '20, pages 315-329, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-80602-6_20
    DOI: 10.1007/978-3-030-80602-6_20
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