Molecular Filtered Electronic Resonance Enhanced NO Raman Scattering

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-05-C-0093
Agency Tracking Number: F054-012-0332
Amount: $99,921.00
Phase: Phase I
Program: STTR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: AF05-T012
Solicitation Number: N/A
Small Business Information
RESEARCH SUPPORT INSTRUMENTS
20 New England Business Center, Andover, MA, 01810
DUNS: 076337877
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Daniel Sullivan
 Principal Scientist
 (732) 329-3700
 dsullivan@researchsupport.com
Business Contact
 Chris Rollins
Title: Vice President
Phone: (301) 306-0010
Email: rollins@researchsupport.com
Research Institution
 PRINCETON UNIV.
 Richard Miles
 MAE Department , E-Quad Rm D414
Princeton, NJ, 08544
 (609) 258-4741
 Nonprofit college or university
Abstract
Research Support Instruments and the Applied Physics Group of the MAE Department of Princeton University are partnering to develop a unique laser diagnostic technique based on electronic resonance enhanced Raman scattering. This technique will allow for quantitative measurements of nitric oxide (NO) concentrations in a high temperature, high-pressure environment such as may be found in modern engines currently under development. The diagnostic technique that we propose to develop uses resonantly enhanced incoherent Raman scattering. As a result, the signal is not subject to quenching and is linearly proportional to the density of NO molecules in the resolved volume. Our technique utilizes a unique process whereby the resonant Raman light scattered from either an illuminated planar cross section or line within a test cell is spectrally filtered in a two-stage process that strongly suppresses background light and preserves the image of the probe volume. If successful, this new concept will provide a means whereby the quantitative data can be collected over a wide range of temperature and pressure. This data can then be used to develop pressure scaling laws for NO production

* information listed above is at the time of submission.

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