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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. Advanced Compressor Technology for Ultrafast Fiber Lasers

    SBC: Raydiance, Inc.            Topic: NAVY07T009

    Ultrafast laser technology offers compelling capabilities for national defense, state-of-the-art health care, and the materials processing industry. The development of this technology into commercial form factor hardware has been limited mostly by the size, cost, complexity, and/or pulse energy limitations of current ultrafast laser systems. Optical fiber based ultrafast lasers have dramatically d ...

    STTR Phase II 2010 Department of DefenseNavy
  2. Functionalized Single Walled Carbon Nanotubes for High Performance Composites

    SBC: Carbon Solutions Inc            Topic: N06T031

    New material systems are required as a result of advanced performance criteria for the next generation destroyer program and other Navy ships. As a part of these requirements there is high demand for high strength structural composites. The objective of the STTR Phase II project is to develop high strength and light weight structural composites utilizing functionalized single-walled carbon nanotub ...

    STTR Phase II 2010 Department of DefenseNavy
  3. Demonstration of a JP-8 Powered Compact ECU

    SBC: MAINSTREAM ENGINEERING CORP            Topic: OSD09T002

    Military shelters currently use electrically driven Environmental Control Units (ECUs) to provide cooling for the air inside the shelter. The ECU is vapor compression cycle powered by a diesel generator, operating on JP-8 fuel. Other than fueling jet engines, the largest drain on U.S. military fuel supplies in current operations comes from running generators at forward operating bases. In hot cli ...

    STTR Phase I 2010 Department of DefenseNavy
  4. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: AECHELON TECHNOLOGY            Topic: N09BT038

    Military operations in urban areas have increasingly become a key capability for our armed forces. The increased risk of use of the unique nature of large urban environments by hostile forces to their tactical advantage, and related civilian casualties, requires updated procedures, comprehensive training, and constantly evolving capabilities. Current training technologies fail to address the signi ...

    STTR Phase I 2010 Department of DefenseNavy
  5. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: TOYON RESEARCH CORPORATION            Topic: N09BT038

    Toyon Research Corporation and Brown University propose to develop a complete real-time software solution which ingests multi-sensor ISR imagery and produces geo-specific, realistic simulated imagery for flight simulators and training devices. The technical innovations enabling this solution include fully automated 3-d model construction from sequences of ISR video frames, and geo-registration of ...

    STTR Phase I 2010 Department of DefenseNavy
  6. Adaptive Turbine Engine Control for Stall Threat Identification and Avoidance

    SBC: AURORA FLIGHT SCIENCES CORPORATION            Topic: N10AT008

    Aurora Flight Sciences and MIT propose to develop a model-based adaptive health estimation and real-time proactive control to identify gas turbine engine stability risks and avoid them through control action. In this concept, the engine control system actively monitors sensors and actuators, compares them against physical models, and infers which components may be performing poorly and may need to ...

    STTR Phase I 2010 Department of DefenseNavy
  7. Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction

    SBC: Frontier Technology Inc.            Topic: N10AT008

    Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...

    STTR Phase I 2010 Department of DefenseNavy
  8. Dynamic Physical/Data-Driven Models for System-Level Prognostics and Health Management

    SBC: Global Strategic Solutions, LLC            Topic: N10AT009

    Prognostics and health management (PHM) systems are critical for detecting impending faults and enabling a proactive decision process for maintenance or replacement of avionics systems before actual failures occur. A PHM system is essential to enhancing aircraft systems reliability and maintaining a high level of mission readiness and affordability. Current PHM advancements are focused on aircraft ...

    STTR Phase I 2010 Department of DefenseNavy
  9. Characterization of Diffusive Noise Fields Using Ambient Noise Interferometry, Spatial Gradients and Acoustic Bright Spots

    SBC: Rocky Mountain Geophysics, Llc            Topic: N10AT004

    We propose to conduct a feasibility study for utilizing broadband sampling of the diffusive noise field in a dynamic environment. In ambient noise studies, the ability to resolve a wavefield is proportional to its time-bandwidth (TB) product. In a dynamic environment such as in the atmosphere or ocean, the nature of the impinging wave field is changing rapidly so that only short time segments can ...

    STTR Phase I 2010 Department of DefenseNavy
  10. Development of a Computational Method for Prediction of After-Burning Effect

    SBC: Strategic Insight, Ltd.            Topic: N10AT002

    The research objective is to develop a fully functional computational method for prediction of the after-burning effect of different fuels in a wide range of temperature, pressure, and turbulence regimes. Achievement of the objective requires understanding and modeling of key phenomena including (a) post-detonation response of the fuels, (b) near-field coupling of detonation products with particul ...

    STTR Phase I 2010 Department of DefenseNavy
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