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Computational study of arc discharge...

Ekici, Ozgur.

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Computational study of arc discharges: Spark plug and railplug ignitors.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational study of arc discharges: Spark plug and railplug ignitors./
作者:	Ekici, Ozgur.
面頁冊數:	229 p.
附註:	Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: 6908.
Contained By:	Dissertation Abstracts International68-10B.
標題:	Engineering, Mechanical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3285998
ISBN:	9780549266655

Computational study of arc discharges: Spark plug and railplug ignitors.
Ekici, Ozgur.

Computational study of arc discharges: Spark plug and railplug ignitors. - 229 p.

Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: 6908.

Thesis (Ph.D.)--The University of Texas at Austin, 2007.

A theoretical study of electrical arc discharges that focuses on the discharge processes in spark plug and railplug ignitors is presented. The aim of the study is to gain a better understanding of the dynamics of electrical discharges, more specifically the transfer of electrical energy into the gas and the effect of this energy transfer on the flow physics. Different levels of computational models are presented to investigate the types of arc discharges seen in spark plugs and railplugs (i.e., stationary and moving arc discharges).

ISBN: 9780549266655Subjects--Topical Terms:

783786
Engineering, Mechanical.

Computational study of arc discharges: Spark plug and railplug ignitors.
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245 1 0 $a Computational study of arc discharges: Spark plug and railplug ignitors.
300 $a 229 p.
500 $a Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: 6908.
500 $a Advisers: Ofodike A. Ezekoye; Ronald D. Matthews.
502 $a Thesis (Ph.D.)--The University of Texas at Austin, 2007.
520 $a A theoretical study of electrical arc discharges that focuses on the discharge processes in spark plug and railplug ignitors is presented. The aim of the study is to gain a better understanding of the dynamics of electrical discharges, more specifically the transfer of electrical energy into the gas and the effect of this energy transfer on the flow physics. Different levels of computational models are presented to investigate the types of arc discharges seen in spark plugs and railplugs (i.e., stationary and moving arc discharges).
520 $a Better understanding of discharge physics is important for a number of applications. For example, improved fuel economy under the constraint of stricter emissions standards and improved plug durability are important objectives of current internal combustion engine designs. These goals can be achieved by improving the existing systems (spark plug) and introducing more sophisticated ignition systems (railplug). In spite of the fact spark plug and railplug ignitors are the focus of this work, the methods presented in this work can be extended to study the discharges found in other applications such as plasma torches, laser sparks, and circuit breakers.
520 $a The system of equations describing the physical processes in an air plasma is solved using computational fluid dynamics codes to simulate thermal and flow fields. The evolution of the shock front, temperature, pressure, density, and flow of a plasma kernel were investigated for both stationary and moving arcs. Arc propagation between the electrodes under the effects of gas dynamics and electromagnetic processes was studied for moving arcs. The air plasma is regarded as a continuum, single substance material in local thermal equilibrium. Thermophysical properties of high temperature air are used to take into consideration the important processes such as dissociation and ionization. The different mechanisms and the relative importance of several assumptions in gas discharges and thermal plasma modeling were investigated. Considering the complex nature of the studied problem, the computational models aid in analyzing the analytical theory and serve as relatively inexpensive tools when compared to experiments in design process.
590 $a School code: 0227.
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Physics, Fluid and Plasma. $3 1018402
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710 2 $a The University of Texas at Austin. $b Mechanical Engineering. $3 1044052
773 0 $t Dissertation Abstracts International $g 68-10B.
790 1 0 $a Ezekoye, Ofodike A., $e advisor
790 1 0 $a Matthews, Ronald D., $e advisor
790 $a 0227
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3285998