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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. Innovative additive manufacturing (AM) process for successful production of 7000 series aluminum alloy components using Smart Optical Monitoring Syste

    SBC: SENSIGMA LLC            Topic: N18AT005

    Naval aircraft components are routinely made of 7000 series aluminum alloys due to their strength, weight and fatigue properties. Present Additive Manufacturing (AM) processes falls short of producing 7000 series Al alloys successfully due to lack of porosity, thermal and composition control. In-situ methods implemented to date largely only yield information about the component surface and other m ...

    STTR Phase I 2018 Department of DefenseNavy
  2. 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
  3. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: CG2, Inc.            Topic: N09BT038

    In today’s information age, there are vast resources of data on every region of the Earth. The application of geospecific imagery over large areas has been limited to terrain for the most part. The hindrances to full use of geospecific imagery are the labor required to create the databases, and limits on the rendering capacity of current image generators (IGs), both in polygon count and texture ...

    STTR Phase I 2010 Department of DefenseNavy
  4. 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
  5. Innovative Passive Magnetic Thrust Bearings for High-Speed Turbomachinery

    SBC: MAINSTREAM ENGINEERING CORP            Topic: N10AT037

    In miniature gas turbines for UAV applications, traditional bearings exhibit a typical lifetime of only 25 hours due to excessive axial loading. Mainstream proposes to use a passive, permanent magnet thrust bearing to alleviate this problem and increase service life to over 1000 hours. Since this type of bearing is non-contacting, it can operate at very high rotational speeds with minimal heat gen ...

    STTR Phase I 2010 Department of DefenseNavy
  6. Integrally Bladed Rotor (IBR) Blend Optimization Tool

    SBC: M4 ENGINEERING, INC.            Topic: N13AT002

    M4 Engineering and UCLA propose to develop software for rapidly and accurately assessing the impact of blend repairs on bladed disk structures. Reduced order modeling techniques will be employed to efficiently simulate modal responses and parametric models of blend repairs will be generated. This approach will be coupled with an optimization scheme for determining optimal blend geometry with minim ...

    STTR Phase I 2013 Department of DefenseNavy
  7. Integrated photonic Raman sensor on a chip

    SBC: PARTOW TECHNOLOGIES LLC            Topic: N19AT023

    A photonic integrated spectrometer based on high-index contrast thin film platform is proposed for Raman signal processing. Raman signal generation on the chip via waveguide collection integrated with a spectrometer is proposed to increase the efficiency and signal to noise ratio and significantly reduce cost and the size of Raman sensor systems. All components of the proposed Raman detection syst ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Intelligence and Intuition for Enhanced Decision Making (I2EDM)

    SBC: Modus Operandi, Inc.            Topic: N13AT024

    The focus of our Intelligence and Intuition for Enhanced Decision Making (I2EDM) Phase 1 research is to provide efficient and timely automated production and dissemination of information products in support of doctrinal Decision Points for the Company and below in austere environments. Operating in the Cloud, I2EDM will continuously fuse tactical information with human intuition and experience to ...

    STTR Phase I 2013 Department of DefenseNavy
  9. Interlaminar Mode I and Mode II Fracture Toughnesses in Ceramic Matrix Composites (CMCs)

    SBC: ALPHASTAR TECHNOLOGY SOLUTIONS LLC            Topic: N13AT008

    Ceramic Matrix Composite (CMC)'s are highly susceptible to interlaminar shear failure at elevated temperatures. Therefore, interlaminar properties, critical design limitation of CMC should be assessed accurately with appropriate test methods to ensure overall structural reliability/integrity of components in Naval gas turbine engines. AlphaSTAR proposes to develop rigorous, precise, and innov ...

    STTR Phase I 2013 Department of DefenseNavy
  10. Internet of Things (IoT) Agent (IoTA) Framework for Evaluating Effectiveness and Efficiency

    SBC: RAM LABORATORIES            Topic: N18AT027

    The Internet of Things (IoT) is increasingly being used to create smart platforms where operators are being removed from the loop. These smart capabilities include collaborative IoT sensors and platforms that are self-aware and provide capabilities of self-prediction, self-configuration, and self-maintenance. To fully take advantage of these advances, however, testbeds and frameworks are needed to ...

    STTR Phase I 2018 Department of DefenseNavy
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