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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. High Temp Standoff Dielectric Antenna Windows Based on 3-D Woven Preforms

    SBC: 3TEX, Inc.            Topic: N08071

    Supersonic cruise missiles offer the ability to hit a time critical target with precision and lethality from long distances, yet the high speed generates temperatures on the exterior surfaces of the missile that can exceed the limitations of high temperature structural metals like titanium. Also, insulation to protect electronics equipment in the missile is required. One solution that demonstrates ...

    SBIR Phase II 2009 Department of DefenseNavy
  2. Media Free Coatings Removal Technology for Navy Platforms using Atmospheric Plasma

    SBC: ATMOSPHERIC PLASMA SOLUTIONS, INC.            Topic: N091065

    The Navy and other DoD components require a media-free, environmentally friendly, rapid, and non-destructive method to remove coatings applied on and aboard Navy ships. Atmospheric Plasma Solutions Inc. (APS) has developed an atmospheric plasma process to accomplish this goal. Current processes for the removal of coatings for shipboard applications are expensive, require massive amounts of energy, ...

    SBIR Phase I 2009 Department of DefenseNavy
  3. Automatic Three-Dimensional (3-D) Target Template Generation

    SBC: INTERNATIONAL ASSOCIATION OF VIRTUAL ORGANIZATIONS, INCORPORATED            Topic: N/A

    The development under this effort will take the innovative 3D feature extraction techniques and concepts implemented in IAVO's GeoGenesisr software, specifically our FeatureXTractTM module, and take them to the next level; making them available for operation usage. Our current 3D feature extraction capabilities provide a streamlined workflow for accurately and efficiently extracting 3D site models ...

    SBIR Phase II 2009 Department of DefenseNavy
  4. High Fidelity Modeling of Building Collapse with Realistic Visualization of Resulting Damage and Debris

    SBC: Applied Science International, LLC            Topic: DTRA082005

    To achieve a superior, more accurate simulation model for next generation progressive collapse of buildings, Applied Science International proposes use of the Applied Element Method (AEM) as the core solver of a fast running software tool for evaluating structural integrity following a blast or other extreme loading event. Due to its simplicity in modeling, speed of computing, constitutive models, ...

    SBIR Phase I 2009 Department of DefenseDefense Threat Reduction Agency
  5. Manufacturing of Physical Scale Models for Signature Reduction

    SBC: Bennett Aerospace, Inc.            Topic: N09T016

    The US Navy currently has large expenses to make ship models by hand for EM testing. Bennett Aerospace proposes a novel manufacturing and fabrication technique to build and assemble models so that they can be easily disassembled and re-assembled. The cost savings will be significant. Bennett Aerospace with its research institution partner will conduct preliminary EM testing of the model proxy deve ...

    STTR Phase I 2009 Department of DefenseNavy
  6. Affordable High Rate Manufacturing Process for High Density Sub-Projectiles

    SBC: Bennett Aerospace, Inc.            Topic: N091080

    The objective of this proposed program is to create a cost effective mass production process using Selective Laser Sintering technology (SLS) to produce complex geometry projectiles for the Navy – on a mass production basis. The existing situation is that the US Navy uses complex-geometry flechette projectiles made of high density tungsten with rail-gun technology. Traditional manufacturing for ...

    SBIR Phase I 2009 Department of DefenseNavy
  7. Measurement Methods for Phased-Array Jammers

    SBC: Bennett Aerospace, Inc.            Topic: N092105

    Bennett Aerospace proposes to use existing in-house technology to develop innovative methods to measure high power, wide bandwidth, dynamic beams from active electronically-steerable phased-array antennas. Working with the Navy, we will determine specific requirements, the best antenna and device/component technology, and develop the overall system in the context of both fidelity and cost.

    SBIR Phase I 2009 Department of DefenseNavy
  8. Development of a Miniature, Vibro-Mechanical Energy Harvester for Powering Wireless Sensors

    SBC: MicroStrain, Inc.            Topic: N07178

    A major barrier to the widespread adoption of wireless sensors for structural health monitoring is the requirement to power the network of wireless nodes. Batteries have a limited lifespan, adding significant size, weight, and costs to the wireless sensor network,and may represent a long term environmental problem. Battery maintenance can be eliminated by harvesting energy from the environment. Fo ...

    SBIR Phase II 2009 Department of DefenseNavy
  9. Control Surface Buffet Load Measurement

    SBC: MicroStrain, Inc.            Topic: N091013

    Structural monitoring of Navy aircraft is of critical importance as the fleet ages. One critical area includes the control surfaces, which are subject to intense, dynamic buffet loading which can lead to structural cracking. The highly transient nature of buffet loading makes it difficult to measure using conventional sensors. We propose to solve this problem by combining a network of time-synchro ...

    SBIR Phase I 2009 Department of DefenseNavy
  10. In situ learning for underwater object recognition

    SBC: Signal Innovations Group, Inc.            Topic: N091066

    We propose a principled in situ learning framework that is appropriate for a Bayesian classifier implemented with semi-supervised and multi-task learning. We will investigate several different forms of in situ learning, and will perform testing on measured data to help define which is most appropriate for Navy sensing missions. In addition, we will develop new techniques for feature adaptivity and ...

    SBIR Phase I 2009 Department of DefenseNavy
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