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    Knock propensity in a thermally inhomogeneous DME/air mixture: a DNS study

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    Name:
    AIAA2022_MBLuong_HGIm_Knock propensity in a thermally inhomogeneous DME air Mixture a DNS study.pdf
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    4.345Mb
    Format:
    PDF
    Description:
    Accepted manuscript
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    Type
    Conference Paper
    Authors
    Luong, Minh Bau cc
    Im, Hong G. cc
    KAUST Department
    Clean Combustion Research Center
    Physical Science and Engineering (PSE) Division
    Mechanical Engineering Program
    Date
    2022-01-03
    Permanent link to this record
    http://hdl.handle.net/10754/674901
    
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    Abstract
    Superknock propensity in a stoichiometric dimethyl-ether (DME)/air mixture with temperature inhomogeneities under realistic IC engine conditions is investigated using two-dimensional direct numerical simulations (DNS). The developing detonation regime at different conditions is identified by varying the initial mean temperature lying in the low-, intermediate-, and high-temperature chemistry regimes, the level of temperature fluctuations, and its characteristic length scale. We found that the cool flame from the first-stage ignition induces synergistic effects on promoting knock tendency. First, it significantly decreases a minimum run-up distance requirement for developing detonation due to the low-temperature chemistry. Second, analyzing the temporal evolution of the spatial distribution of the ignition delay field reveals that the heat release rate from the first-stage ignition effectively modifies the initial field of the ignition delay time, thereby shifting the mixture towards the developing detonation regime. The interaction of multiple ignition kernels is also found to play an important role in enhancing the onset of detonation.
    Citation
    Luong, M. B., & Im, H. G. (2022). Knock propensity in a thermally inhomogeneous DME/air mixture: a DNS study. AIAA SCITECH 2022 Forum. doi:10.2514/6.2022-1103
    Sponsors
    This work was sponsored by the research funding from King Abdullah University of Science and Technology (KAUST). This research used the computational resources of the KAUST Supercomputing Laboratory (KSL).
    Publisher
    American Institute of Aeronautics and Astronautics
    Conference/Event name
    AIAA SCITECH 2022 Forum
    DOI
    10.2514/6.2022-1103
    Additional Links
    https://arc.aiaa.org/doi/10.2514/6.2022-1103
    ae974a485f413a2113503eed53cd6c53
    10.2514/6.2022-1103
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Mechanical Engineering Program; Clean Combustion Research Center

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