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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. Naval Platform Aero-Optic Turbulence and Mitigation Methodology

    SBC: CLEAR SCIENCE CORP            Topic: N13AT001

    Clear Science Corp. and the University of Texas at Austin will develop and demonstrate technology that accurately quantifies aero-optical distortion associated with high-energy laser (HEL) weapons on rotorcraft and will utilize the information in designing adaptive optics (AO) systems to maximize HEL system performance over the full range of flight conditions. Aero-optical distortion arises from v ...

    STTR Phase I 2013 Department of DefenseNavy
  2. Modeling of Integrally Bladed Rotor (IBR) Blends

    SBC: SIMMETRIX, INC.            Topic: N13AT002

    Integrally bladed rotors (IBR), also called blisks, are becoming increasingly common in the compressor and fan sections of modern turbine engines. The integration of the blades and disks into a single part has the advantages of reduced part count, reduced weight, increased reliability, and increased performance. However, a drawback of this technology is that individual blades cannot be easily repl ...

    STTR Phase I 2013 Department of DefenseNavy
  3. Maneuver Prediction and Avoidance Logic For Unmanned Aircraft System Encounters with Non-Cooperative Air Traffic

    SBC: NUMERICA CORPORATION            Topic: N13AT003

    For Unmanned Aircraft Systems (UAS) to operate seamlessly in both the U.S. National Airspace System (NAS) and abroad, it will be crucial that they possess a sense-and-avoid (SAA) capability that can ensure safe operations among maneuvering, non-cooperative aircraft. Numerica Corporation, in partnership with Johns Hopkins University, proposes to develop a set of algorithms to model the uncertaintie ...

    STTR Phase I 2013 Department of DefenseNavy
  4. Multi-scale Peridynamics Theory for Corrosion Fatigue Damage Prediction

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N13AT007

    TDA and its University partner, Cornell University, first address the stress assisted corrosion crack growth from concurrent multi-scale modeling through atomistic simulations in order to formulate and calibrate mesoscale Peridynamics model. Initially, the multi-scale CADD simulations will utilize reactive force field potentials for the 7075-T6Al in water to simulate stress corrosion cracking and ...

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

    SBC: Thornton Tomasetti, Inc.            Topic: N13AT008

    Susceptibility to delamination is one of the major weaknesses of ceramic matrix composites (CMCs). Knowledge of the resistance of composite to interlaminar fracture is essential for life cycle prediction analyses of structural components. The current test method for Mode I-interlaminar fracture toughness, the double cantilevered beam (DCB), is not satisfactory for thin CMC specimens because the co ...

    STTR Phase I 2013 Department of DefenseNavy
  6. Naval Platform Aero-Optic Turbulence and Mitigation Methodology

    SBC: MZA ASSOCIATES CORPORATION            Topic: N13AT001

    MZA partnered with the University of Notre Dame proposes to conduct high-fidelity computational fluid dynamics (CFD) simulations providing volumetric time-resolved aero-optical disturbance modeling for rotary-wing aircraft flow dominated by wing-tip vortices. We will develop detailed wave-optics models of a baseline Navy helicopter beam director including engineering-level simulations of the beam ...

    STTR Phase I 2013 Department of DefenseNavy
  7. Out-of-Oven Aerospace Composites

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: N18BT031

    Large aerospace composite structures currently require autoclaves and ovens to achieve desired performance which are expensive to purchase, costly to operate, and often limit part size and production rate. Ovens and autoclaves rely on convective heating which is inefficient, consumes large amounts of energy, and can be difficult to predict. Alternative cure processes using external heaters or hot ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Large Component, High-quality Composite Fabrication Using Nanocarbon Heating Films

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N18BT031

    Autoclaves are typically used to fabricate high-quality composite components with acceptable thermal properties and low void volume. They provide elevated temperature processing cycles and external pressure required for adequate compaction to achieve these desired properties. However, autoclaves represent large capital and energy investment while limiting the size of fabricated parts and productio ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Carbon Nanotube-Based Heater Coatings for Processing of Thermosetting and Thermoplastic Composites

    SBC: MAINSTREAM ENGINEERING CORP            Topic: N18BT031

    For this research program, Mainstream will collaborate with Colorado State University (CSU) to develop a nanostructured heater capable of curing aerospace grade composites out-of-autoclave (OOA). The use of autoclaves is the primary cost driver in composite manufacturing due to size limitations, long processing times, and inefficient energy usage. Therefore, the Navy is looking to develop a nanost ...

    STTR Phase I 2019 Department of DefenseNavy
  10. Real-Time Validation of Machine Intelligence Controlling Unmanned Vehicle Autonomous Operations

    SBC: XL SCIENTIFIC LLC            Topic: N18BT032

    To realize the full potential of autonomous systems, it is imperative that they behave safely, correctly, ethically, and legally. Providing these assurances through offline verification alone is insufficient, due to the complex and changing nature of autonomous systems. Online monitoring and corrective actions are necessary to account for uncertainties, and to increase trust between a human superv ...

    STTR Phase I 2019 Department of DefenseNavy
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