Multi-dimensional Modeling of Non-equilibrium Plasma for Automotive Applications

While spark-ignition (SI) engine technology is aggressively moving towards challenging (dilute and boosted) combustion regimes, advanced ignition technologies generating non-equilibrium types of plasma are being considered by the automotive industry as a potential replacement for the conventional spark-plug technology. However, there are currently no models that can describe the low-temperature plasma (LTP) ignition process in computational fluid dynamics (CFD) codes that are typically used in the multi-dimensional engine modeling community. A key question for the engine modelers that are trying to describe the non-equilibrium ignition physics concerns the plasma characteristics. A key challenge is also represented by the plasma formation timescale (nanoseconds) that can hardly be resolved within a full engine cycle simulation. This paper reports on the multi-dimensional modeling of LTP generated by a nanopulsed high-voltage discharge in a pin-to-pin electrode configuration, and evaluates the effects of ambient pressure on the post-discharge results. It is shown that a nanopulsed delivery can result in a LTP or a mode transition to an arc-like event depending on the mixture properties in the gap between the two electrodes. It is further shown that numerical predictions of the LTP-to-arc transition point as a function of ambient pressure along with qualitative distributions of important radicals and temperature closely match recent experiments with identical geometry and discharge characteristics. As a result, the high-fidelity modeling effort described in this paper can be used as a key tool to deliver in-depth understanding of non-equilibrium plasmas for automotive applications and lead to the future implementation of dedicated models for ignition technologies that are based on non-equilibrium plasma physics.

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  • Supplemental Notes:
    • Abstract reprinted with permission of SAE International.
  • Authors:
    • Scarcelli, Riccardo
    • Zhang, Anqi
    • Wallner, Thomas
    • Breden, Douglas
    • Karpatne, Anand
    • Raja, Laxminarayan
    • Ekoto, Isaac
    • Wolk, Benjamin
  • Conference:
  • Publication Date: 2018-4-3

Language

  • English

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  • Accession Number: 01690101
  • Record Type: Publication
  • Source Agency: SAE International
  • Report/Paper Numbers: 2018-01-0198
  • Files: TRIS, SAE
  • Created Date: Oct 8 2018 12:28PM