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

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$739,484.00
Award Year:
2007
Program:
STTR
Phase:
Phase II
Contract:
FA9550-07-C-0142
Award Id:
78109
Agency Tracking Number:
F064-038-0010
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
4401 Dayton-Xenia Road, Dayton, OH, 45432
Hubzone Owned:
N
Minority Owned:
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
Contracts Manager
(937) 426-6900
fwilliams@ues.com
Research Institution:
PRINCETON PLASMA PHYSICS LABORATORY
Richard J Hawryluk
P. O. Box 451
Princeton, NJ, 8543
(609) 243-3306
Federally funded R&D center (FFRDC)
Abstract
UES, Inc., partnered with Princeton Plasma Physics Laboratory, proposes to develop a new method of controlling plasma parameters based on the nonlocal nature of the electron energy distribution function in plasmas. Specifically we propose to develop nonlocal plasma technology (NLP-technology) in plasmas with fast electrons - electrons with energies essentially greater than the average electron energy, and/or negative ions. The overall tasks during the Phase II are: (1) Improving computer codes for a more sophisticated simulation of plasmas with fast electrons and application of those codes for analyzing experiments in plasmas with fast electrons; (2) Conducting experimental investigations of various types of plasmas with fast electrons, including two types of plasmas: a) with volumetric plasma-chemical reaction production of the fast electrons and b) with injection of the fast electrons via plasma boundaries; (3) Developing a prototype technological device utilizing NLP-technology for regulating the plasma parameters. The completion of all three phases will experimentally demonstrate the importance of fast electrons and/or negative ions in the plasmas, establish the feasibility of using nonlocal plasma properties for plasma parameter regulation and establish subsequent applications for the NLP-technology during Phase III of the project.

* information listed above is at the time of submission.

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