Determining the electric field in a 10-ns pulsed discharge in a CH4-air mixture using EFISH

ORAL

Abstract

Transient plasma ignition (TPI) uses repetitive nanosecond high voltage pulses for combustion ignition, enables extreme lean combustion, and reduces emissions [1]. A recent study on the modes of the discharge during TPI determined that a transient spark mode of the discharge was essential to achieve combustion with a minimal ignition energy [2]. To understand the mode of the discharge, determining the electric field prior to the mode transition is hence critical. In this study, we determine the spatiotemporally resolved electric field in a 10-ns pulsed plasma using a pin-to-pin electrode configuration in the CH4/air mixture with various equivalence ratios () at atmospheric pressure. The electric field-induced second harmonic generation (EFISH) method was used for the study. After a series of calibrations for both the field strength and the impact of gas composition, the absolute electric field strength ranging from 10 kV/cm to 80 kV/cm was measured for the transient plasma in a lean fuel mixture. The maximum electric field was observed during the rising phase of the voltage pulse and corresponded to the time with 90% of the maximum voltage. During the discharge mode transition, the maximum electric field was found to occur slightly earlier for the richer mixture (e.g., Φ = 0.8) compared to the leaner one (Φ = 0.4). The effects of the discharge mode and the time interval between pulses on the electric field in TPI are discussed.

Publication: [1] R. J. Umstattd and C. Jiang, "Repetitive Multi-pulses Enabling Lean CH4-Air Combustion Using Surface Discharges", SAE International Journal of Engines, 16.03-16-08-0061 (2023)
[2] C. Jiang et al., "On the modes of nanosecond pulsed plasmas for combustion ignition of quiescent CH4-air mixtures", Journal of Physics D: Applied Physics, 2024, In press.

Presenters

  • Md Ziaur Rahman

    Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529 USA

Authors

  • Md Ziaur Rahman

    Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529 USA

  • Christopher J Kliewer

    Sandia National Lab, Livermore, CA, Sandia National Laboratories

  • Chunqi Jiang

    Old Dominion University, Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529 USA, Frank Reidy Research Center for Bioelectrics, Old Dominion University