Utilizing Nonlocal Effects for Development of Novel Technologies for Plasma Chemistry and Laser Applications

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,955.00
Award Year:
2006
Program:
STTR
Phase:
Phase I
Contract:
FA9550-06-C-0096
Agency Tracking Number:
F064-038-0010
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
UES, INC.
4401 Dayton-Xenia Road, Dayton, OH, 45432
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
074689217
Principal Investigator:
Vladimir Demidov
Research Scientist
(937) 255-6794
Vladimir.Demidov.ctr@wpafb.af.mil
Business Contact:
Francis Williams, Jr.
Contracts Manager
(937) 426-6900
fwilliams@ues.com
Research Institution:
PRINCETON PLASMA PHYSICS LABORATORY
Richard J Hawryluk
P. O. Box 451
Princeton, NJ, 08543
(609) 243-3306
Federally funded R&D center (FFRDC)
Abstract
UES proposes to develop and perfect a new method of controlling plasma parameters based on nonlocal nature of the electron energy distribution function in the pulsed plasmas, i.e., develop nonlocal plasma technology (NLP technology). The NLP technology is based on application of nonlocal properties of fast electrons, which have energies essentially greater than the average electron energy. Particular attention will be paid to electronegative plasma and to the role of negative ions on fast electron density. The overall tasks during the Phase I are (a) Perform theoretical analysis of volumetric processes responsible for production of fast electrons and negative ions in electronegative plasmas; (b) Complete numerical simulations of density profiles of charged particles, including fast electrons and negative ions, in oxygen and oxygen-argon mixture plasmas. Analyze fluxes of fast electrons and ions to the walls with the purpose to demonstrate the self-trapping effects; (c) Conduct initial experimental measurements of ion and electron density to benchmark the numerical simulations. The completion of the Phase I will provide validation of the NLP technology. Princeton Plasma Physics Laboratory will be a partner in this project.

* information listed above is at the time of submission.

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