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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. Adaptive Fleet Synthetic Scenario Research

    SBC: KAB LABORATORIES INC.            Topic: N10AT044

    Synthetic scenario-based training of Navy personnel in the use of Navy SIGINT/IO systems has helped to reduce training costs, and it has enabled the personnel to be trained in an environment that sufficiently approximates real-world situations that could not otherwise be accomplished within the class room. However, scenario development is highly complex and involves a great deal of human effo ...

    STTR Phase I 2010 Department of DefenseNavy
  2. Adaptive Fleet Synthetic Scenario Research

    SBC: Sonalysts, Inc.            Topic: N10AT044

    Together with our research institution partner, the University of Central Florida (UCF) Institute for Simulation and Training (IST), Sonalysts is pleased to submit this proposal to investigate the feasibility of creating a Service Oriented Architecture (SOA) framework for correlation and fusion algorithms that drive scenario generation across many information domains (communication, imagery, track ...

    STTR Phase I 2010 Department of DefenseNavy
  3. 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
  4. Additive Manufacture of Inorganic Freeform Gradient-Index Optics

    SBC: VOXTEL, INC.            Topic: N19BT028

    An additive-manufacturing process will be developed for printing high-quality freeform inorganic gradient-index (GRIN) optical elements. Candidate nanocrystal materials including ZnS, ZrO, TiO2, PbSe, and rare-earth-doped metal oxides, will be synthesized and characterized. A process for inkjet-print depositing high-volume-percent loading density of binary, ternary, quaternary, etc., nanoparticle ...

    STTR Phase I 2020 Department of DefenseNavy
  5. Additive Manufacturing for Microwave Vacuum Electron Device Cost Reduction

    SBC: Radiabeam Technologies, LLC            Topic: N16AT010

    The Department of the Navy has a need for the development of an additive manufacturing (AM) process for key vacuum electronic device components to meet on-demand, flexible, and affordable manufacturing requirements. The developed manufacturing method has a potential to reduce cost of vacuum electronics by as much as 70% as well as simplify and hence expedite production process of these devices by ...

    STTR Phase I 2016 Department of DefenseNavy
  6. Additive Manufacturing of 17-4 PH Stainless Steel Metal Matrix Composites using Nickel functionalized Carbon Nanotubes

    SBC: Shepra, Inc.            Topic: N16AT007

    Additive Manufacturing (AM) has a potential to significantly reduce the cost and lead time associated with the maintenance and sustainment issues faced by the US Navy. However, current materials such as 17-4 PH Stainless Steel typically achieve half the required mechanical properties when additively manufactured, thus limiting the use of AM in critical parts. Recent advancements in carbon nanotube ...

    STTR Phase I 2016 Department of DefenseNavy
  7. Advanced Command and Control Architectures for Autonomous Sensing

    SBC: TOYON RESEARCH CORPORATION            Topic: N18BT030

    We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protob ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Advanced Data Processing, Storage and Visualization Algorithms for Structural Health Monitoring Sensor Networks of Naval Assets

    SBC: ACELLENT TECHNOLOGIES, INC            Topic: N10AT042

    Acellent Technologies Inc. and Prof. F. G. Yuan at North Carolina State University (NCSU) are proposing to develop a Hybrid Distributed Sensor Network Integrated with Self-learning Symbiotic Diagnostic Algorithms and Models to determine materials state awareness and its evolution, including identification of precursors, detection of microdamages and flaws near high stress area or in a distributed ...

    STTR Phase I 2010 Department of DefenseNavy
  9. Advanced Electromagnetic Modeling and Analysis Tools for Complex Aircraft Structures and Systems

    SBC: Hypercomp, Inc.            Topic: N20BT028

    Under this STTR solicitation N20B-T028, the goal is to build on the strengths of HyPerComp’s development in the HDphysics suite of tools to meet NAVAIR’s requirements in solving large-scale problems in electromagnetics.  One area that will receive a major attention in this effort is the development of high order curved meshes for arbitrary geometries with small- and large-scale features that ...

    STTR Phase I 2020 Department of DefenseNavy
  10. Advanced, High-Performance, Low-Noise Propeller Designs for Small UxS

    SBC: CFD Research Corporation            Topic: N20AT006

    Improved propeller designs for Small Unmanned Aerial Systems are needed to improve performance and reduce acoustic emissions. Traditional propeller design methods don’t take advantage of advances in coupled fluid, structure and acoustics computational design methods nor advances in high strength, high modulus materials to extend performance of propellers and reduce noise emissions. In the propos ...

    STTR Phase I 2020 Department of DefenseNavy
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