SBIR/STTR Research Award

Dense Wavelength-Multiplexed Sensors for Tomography in Hypersonic Flows Using Diode-Laser Technology

Award identifier b33e3247e497199314bfda5943c6457682902009aec1c853698253d091c3f2cbAwarding agency Department of Defense · Air Force

Award amount

$99,080

Program and phase

STTR · Phase I

Award year

2004

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Open in CaptureIQRequest Access

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Zolo Technologies, Inc.
Proposal award date
2004-08-30
Contract end date
2005-08-30
UEI
Not reported
Solicitation number
Not reported
Topic code
AF04-T012

Research abstract

Zolo Technologies and Stanford University propose to develop and demonstrate an innovative combustion sensor technology that employs tunable diode laser spectroscopy implemented in a novel way to diagnose the SCRAMJET flow field for ground test evaluation. The sensor will enable the end-user to detect and quantify non-uniformities in the spatial distribution of temperature and species concentrations in order to optimize combustion efficiency. The ability to observe non-uniformities directly is deemed critical since complete combustion requires that some turbulent-induced mixing occur in the flow field that will produce local non-uniformities.

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

SmartSoloChatGPTClaudePerplexityGrokGemini

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.