COMPUTATIONAL AND EXPERIMENTAL-STUDY OF A RAILPLUG IGNITER

Citation
Jl. Ellzey et al., COMPUTATIONAL AND EXPERIMENTAL-STUDY OF A RAILPLUG IGNITER, Experiments in fluids, 14(6), 1993, pp. 416-422
Citations number
20
Categorie Soggetti
Mechanics,"Instument & Instrumentation","Engineering, Mechanical
Journal title
ISSN journal
07234864
Volume
14
Issue
6
Year of publication
1993
Pages
416 - 422
Database
ISI
SICI code
0723-4864(1993)14:6<416:CAEOAR>2.0.ZU;2-X
Abstract
The plasma plume generated by a new type of high energy igniter known as the railplug is examined. The railplug is a miniaturized railgun th at has the potential for improving ignition characteristics of combust ible mixtures in engines. The objective of the study is to gain an und erstanding of the characteristics of the plasma created by a transpare nt railplug and to validate a multidimensional computer simulation of the plasma and shock fronts. The nature of the plume emitted by the ra ilplug was examined for three levels of electrical energy while firing into air at a pressure of 1 atm. The computer model is to be used to predict trends in railplug performance for various railplug designs, e nergies, and ambient conditions. The velocity of the plasma movement i nside a transparent railplug was measured, as well as the velocity of the plume ejected from the cavity. A shock is produced at the initiati on point of the arc and propagates down the cavity, eventually exiting the plug. The velocity of the shock was both measured experimentally and simulated by the model. The computer simulation produces a mushroo m-shaped plasma plume at the railplug exit similar to that observed in the shadowgraph photos. The simulation also reproduced the toroidal c irculation observed at the plug exit in the shadow-graphs, the radial expansion, and the penetration depth of the plume. The trend of linear ly increasing plasma kinetic energy with stored electrical energy pred icted by the simulation was verified by shadowgraph photos. The agreem ent between the experiments and the simulations suggests that the mult idimensional model holds promise as a predictive design tool.