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.
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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