Bulletin of the American Physical Society
62nd Annual Gaseous Electronics Conference
Volume 54, Number 12
Tuesday–Friday, October 20–23, 2009; Saratoga Springs, New York
Session CM: Kinetics Workshop: Data for Modeling and Modeling Example |
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Chair: Mark Kushner, University of Michigan Room: Saratoga Hilton Ballroom 1 |
Monday, October 19, 2009 1:30PM - 2:00PM |
CM.00001: Electron scattering data as the basis for kinetic models -- what can we realistically provide, and how? Invited Speaker: It is unlikely that anyone would dispute the important role that the availability of accurate data can play in the modeling and simulation of low temperature plasmas. Fundamental measurements of collision processes, from the relatively simple (eg. elastic scattering) to the complex (eg. molecular dissociation) are critical to developing an understanding of discharge and plasma behaviour. While there has been a healthy relationship between the data users and data gatherers at meetings such as GEC for many years, there are often misunderstandings about the capabilities that reside in each of these areas, and how best to maintain and strengthen the communication between them. This paper will attempt to summarise those electron-driven processes that are accessible, in a quantitative sense, in modern scattering experiments. Advances in treating reactive and excited species will also be discussed, as will the potential to push our measurement technologies further. An inescapable conclusion is that the collision community can best contribute through a strategic alliance between experiment and theory. Theory should be benchmarked against experiment for those processes and targets that are accessible, and used wisely for those processes where experiment cannot contribute. [Preview Abstract] |
Monday, October 19, 2009 2:00PM - 2:30PM |
CM.00002: A New Scaling Law of Resonance in Total Scattering Cross Section in Gases Invited Speaker: Electrical discharges in gases continue to be an active area of research because of industrial applications such as power systems, environmental clean up, laser technology, semiconductor fabrication etc. A fundamental knowledge of electron-gas neutral interaction is indispensable and, the total scattering cross section is one of the quantities that have been measured extensively. The energy dependence of the total cross sections shows peaks or resonance processes that are operative in the collision process. These peaks and the energies at which they occur are shown to satisfy a broad relationship involving the polarizability and the dipole moment of the target particle. Data on 62 target particles belonging to the following species are analyzed. (Eq 1) Rare gas atoms (Eq 2) Di-atomic molecules with combinations of polar, non-polar, attaching, and non-attaching properties Poly-atomic molecules with combinations of polar, non-polar, attaching, and non-attaching properties. Methods of improving the newly identified scaling law and possible application have been identified. 1 INTRODUCTION: Data on electron-neutral interactions are one of the most fundamental in the study of gaseous electronics and an immense literature, both experimental and theoretical, has become available since about the year 1920. [1-5]. In view of the central role which these data play in all facets of gas discharges and plasma science, it is felt that a critical review of available data is timely, mainly for the community of high voltage engineers and industries connected with plasma science in general. The electron-neutral interaction, often referred to as scattering in the scientific literature, is quantified by using the quantity called the total scattering cross section ($Q_{T}$, m$^{2})$. In the literature on cross section, total cross section and total scattering cross section are terms used synonymously and we follow the same practice. A definition may be found in reference [1]. This paper concerns scaling of total cross section of gases at resonance energy and the electron energy at which resonance occurs. The meaning of resonance is briefly explained in the following section. Here, we use the term scaling to relate the two quantities mentioned, namely, the resonance energy and the total cross section at that energy. Consistent with the definition of scaling, if the law proposed holds, one of the two quantities mentioned above may be calculated if the other is known. Such a method is very useful in gas discharge modeling and calculation of breakdown voltages, as more fully explained in the later section of the paper. 2 DESCRIPTION OF RESONANCE: A brief description of resonance phenomena in several types of target particles, viz., atomic, poly atomic, polar, non-polar phenomena are presented. 3 PREVIOUS SCALING LAWS: A common representation of a given characteristic with as few adjustable parameters as possible is generally known as the scaling law. The Paschen curve for breakdown voltage is such a familiar scaling law. With reference to cross sections several attempts have been made to obtain a scaling law, with varying degree of success. If the cross section-energy curve is qualitatively similar without having sharp peaks and oscillations, moderately successful scaling laws may be devised. For example, the ionization cross section- energy curves for most gases follow a general pattern. Several published scaling laws are discussed. 4 A NEW SCALING LAW AND DISCUSSION: In this work the author has compiled the resonance details for more than 60 gasest hat include the range from simple atoms to complex molecules that are polyatomic, dipolar, electron-attaching and isomers. The target particles exhibit a number of distinct features, as far as their total cross section variation with electron energy is concerned as already explained. [Preview Abstract] |
Monday, October 19, 2009 2:30PM - 3:00PM |
CM.00003: Data needs for plasma modeling Invited Speaker: Plasma discharge phenomena are governed by a complex interplay between electromagnetic field phenomena, gas-phase non-equilibrium chemistry, gas-phase species transport, and interactions of the gas species with surfaces including surface chemistry. A wide hierarchy of models is used to represent discharge phenomena. These models are essentially approximations to the Maxwell's equations coupled to the species Boltzmann equation or moments of the Boltzmann equation, with additional model representations for surface interactions. This talk will highlight the data needs to complete the model description of the plasma. Data requirements for species collision cross sections, species transport properties, reactive gas-phase chemistry, surface phenomena including secondary electron emission and surface chemistry will be discussed. Sources of this data ranging from experimental measurements to \textit{ab initio} calculations will be described. Finally, dependence of solution accuracy of the plasma models on the uncertainty in the input data will be illustrated through examples. [Preview Abstract] |
Monday, October 19, 2009 3:00PM - 3:30PM |
CM.00004: Kinetic modeling of gas discharges Invited Speaker: Numerical modeling of gas discharge plasmas has gained growing importance for the basic understanding of plasma processes and dynamics as well as for the optimization of discharge parameters in plasma applications and the design of plasma reactors. Different modeling approaches are commonly utilized to describe theoretically the behavior of gas discharges. The present contribution focuses on modeling and analysis of non-isothermal plasmas by means of time- and space-dependent hybrid methods combining a hydrodynamic description of the plasma species with the solution of the inhomogeneous Boltzmann equation of the electrons. Recent progress in such hybrid modeling is reported and illustrated by means of results of the analysis of the spatiotemporal behavior of spatially one-dimensional glow discharge plasmas. The results make the pronounced nonlocal characteristics of the electrons understandable. The analysis demonstrates as well the applicability and the limits of current models. Perspectives of kinetic modeling are discussed. [Preview Abstract] |
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