SBIR/STTR Research Award

Planar Visualization of Vapor and Liquid in a Spray Plume

Award identifier cb199363852c62f7e01329fcd14d6ab22d83957c310e06deebe2831c86944d8aAwarding agency Department of Energy

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2014

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.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
ENERGY PLUS LTD.
Proposal award date
2014-06-09
Contract end date
2015-03-08
UEI
JYCHWMTD25T5
Solicitation number
DE-FOA-0001046
Topic code
07d

Research abstract

In liquid fueled combustion systems it is necessary for the fuel to vaporize prior to combustion. As a result, a method to quantify the amount of vapor that exists in the spray plume is desired in order to help understand the evaporation process. Such results are also useful in validating detailed computer models of this same process. Unfortunately, such a measurement is very difficult in practice due to the complex interaction of the spray droplets with any method applied. The objective of the proposed effort is to develop a robust diagnostic method to quantify the planar concentration of fuel vapor, fuel liquid, and gas phase temperature in a spray plume. The method proposed is to use multi-angular light extinction using collinear laser beams of specific wavelengths generated by tunable diode lasers. The wavelengths selected will allow differences in the absorbed light to be used to quantify fuel vapor, fuel liquid and gas temperature. Laser extinction is a very robust reliable method and the use of differential absorption eliminates challenges with windows, droplets effects, and dense spray issues that tend to plaque laser sheet imaging methods typically used. In Phase I, proof of concept will be demonstrated for a fuel spray for a liquid of interest (e.g., gasoline). The spectroscopy of gasoline will be evaluated to select appropriate wavelengths and appropriate tunable diode laser blocks identified. The identified wavelengths will be assembled into a breadboarded system and applied to a series of experiments to demonstrate proof of concept. These will range from particle laden jets of air doped with a hydrocarbon vapor to a gasoline spray injected by a typical automotive injector. Single collinear beams will be used in Phase I and multiple paths through the spray will be measured and deconvolved using tomographic analysis methods. Evaluation of potential time-resolved information will be carried out. Commercial Application and Other Benefits: The proposed instrument fills a significant niche in the diagnostics market for spray characterization. If successful this instrument will be of great interest to a wide range of OEMs and component suppliers for fuel injectors for many applications. The data generated can be used to gain insight into the fuel injection process and also provide important validation data for models. With validated models, fuel injector and combustion designers can more efficiently develop higher efficiency, clean burning liquid fueled engines.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

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

Research funding history

19 SBIR/STTR records share this UEI (1996–2021). Reported award amounts total $7,629,351. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy

Agency intelligence

Department of Energy

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.

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.