SBIR/STTR Research Award

A Diagnostic for Simultaneous Liquid and Vapor Distribution in Sprays Using Filtered Rayleigh and Mie Scattering

Award identifier 6ba28cbc8ce45dcc95ba5a98d8dc977915b04bc4d2fe2778878bce15dff5e528Awarding agency Department of Energy

Award amount

$999,937

Program and phase

STTR · Phase II

Award year

2015

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
METROLASER, INCORPORATED
Proposal award date
2015-07-27
Contract end date
2017-07-26
UEI
RB8MDWWD5MF8
Solicitation number
DE-FOA-0001258
Topic code
07d

Research abstract

New automotive engine technologies, such as direct injection with stratified charge combustion, are being explored under programs of the DOE and others that offer significant increases in efficiency and reductions in emissions. Research tools are needed to help determine how best to adequately control the combustion process throughout the engine operating envelope, to optimize combustion efficiency, and to prevent misfires and partial burn. Advanced fuel injector spray patterns can be complex, and quantitative measurements of the spray structure are needed, but current diagnostic systems lack the ability to measure fuel/air mixture distributions in the critical regions of the spray. MetroLaser, Inc. and the Ohio State University (OSU) are developing a diagnostic system that combines filtered Rayleigh scattering (FRS) with Mie scattering to allow imaging of both liquid and vaporized fuel simultaneously in a fuel injector spray. A sheet of laser light illuminates the region of interest and two cameras view the laser sheet, one employing FRS that blocks scattering from droplets to measure fuel vapor, and the other measuring Mie-scattered light from droplets to obtain the droplet distribution. In the Phase I, a model of the FRS signal was developed for various single-component hydrocarbon fuels, and was validated experimentally. Excellent agreement was seen between model and data for simple fuels, and results for more complex fuels were encouraging as well. Measurements were performed using the FRS/Mie technique in an evaporating fuel spray at room temperature and pressure, proving feasibility by demonstrating quantitative two- dimensional (2D) distributions of fuel/air mixture ratio and droplet distributions. In Phase II, the model will be extended to improve the accuracy for the more complex fuels, and will be validated by comparison with experimental data at thermodynamic conditions representative of an engine. A prototype FRS/Mie system will be constructed and developed in a constant flow spray facility at moderate pressure, and finally demonstrated on a fuel injector spray in a model combustion chamber at engine conditions. Commercial Applications and Other Benefits: The proposed diagnostic technique should help bring about significant improvements in energy efficiency, reduced fuel use, and reduced emissions in vehicles by providing engine designers with a tool to better quantify fuel injection dynamics. Boosting the efficiency of internal combustion engines is one of the most promising and cost-effective approaches to increasing vehicle fuel economy. This diagnostic system would provide a critically important capability needed to help achieve a 20 to 40 percent reduction in fuel use, which the DOE estimates can be attained through commercialization of advanced 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

308 SBIR/STTR records share this UEI (1989–2025). Reported award amounts total $100,196,325. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, National Science Foundation, Department of Commerce, Department of Health and Human Services

Agency intelligence

Department of Energy

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