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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. Ignition Modeling for Present and Future Combustors and Augmentors

    SBC: COMBUSTION SCIENCE & ENGINEERING, INC.            Topic: N17AT003

    The ability to predict the ignitibility potential of a combustor at various operating conditions is not practical at this time due to the complexity of this process. Ignition within a gas turbine combustor is dependent on various parameters; including spark (or plasma) energy, flow conditions, fuel/air ratio, and fuel spray density. All these parameters must be properly predicted in order to effec ...

    STTR Phase II 2018 Department of DefenseNavy
  2. Reduced Cavitation, High Efficiency Outboard Propulsors for Small Planing Craft

    SBC: CANDENT TECHNOLOGIES INCORPORATED            Topic: N17AT019

    The Candent Technologies “Reduced Cavitation, High Efficiency Outboard Propulsor for Small Planing Craft” Phase II program is structured to develop an advanced waterjet propulsor for the Combat Rubber Raiding Craft (CRRC). This new axial flow waterjet propulsion system is designed as a “bolt on” assembly that replaces the lower unit of the existing MFE 55 outboard motor. This new propulsio ...

    STTR Phase II 2018 Department of DefenseNavy
  3. Analysis and Application of Treatments to Mitigate Exfoliation Corrosion (Delamination) of 5XXX Series Aluminum

    SBC: OCEANIT LABORATORIES INC            Topic: N18AT016

    Oceanit proposes to research and develop chemical or non-chemical methods and processes to impart surface morphology modifications to aluminum-magnesium (Al-Mg) alloys to mitigate and increase the exfoliation corrosion resistance.

    STTR Phase I 2018 Department of DefenseNavy
  4. Optimization of Fatigue Test Signal Compression Using the Wavelet Transform

    SBC: ATA Engineering, Inc.            Topic: N18BT029

    Traditional approaches to accelerated fatigue testing rely on heuristic methods with thresholds based mostly on experience and engineering judgment. These methods generally do not apply to the multiaxial dynamic loading situations characteristic of most aerospace applications and often result in uncharacteristic fatigue damage and failure modes during testing. To overcome the limitations of tradit ...

    STTR Phase I 2018 Department of DefenseNavy
  5. Adaptive Optics for Nonlinear Atmospheric Propagation of Laser Pulses

    SBC: Advanced Systems & Technologies Inc            Topic: N17AT024

    Filamentation of ultra-short laser pulse propagation in non-linear media offers significant potentials allowing to address numerous problems in military and commercial sectors. However, practical implementation of this requires an ability to control the USLP at its propagation through inhomogeneous media, like turbulent atmosphere. On the basis of our approach for combating turbulence effects on p ...

    STTR Phase II 2018 Department of DefenseNavy
  6. Solid-State Fundamental Mode Green Laser for Ocean Mine Detection

    SBC: Arete Associates            Topic: N13AT023

    Areté proposes the development of Q-switched semiconductor lasers that can be scaled to produce high output peak powers within the blue/green wavelength band. The proposed system will utilize nanostructure quantum wavefunction engineering for gain material designs having extended excited state lifetimes and suppressed non-radiative processes to enable energy storage for high-peak-power optical pu ...

    STTR Phase II 2018 Department of DefenseNavy
  7. An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive Manufacturing

    SBC: Citrine Informatics, Inc.            Topic: N18AT013

    In this project, Citrine Informatics and the ADAPT Center at the Colorado School of Mines propose to build an informatics-driven system to understand the effects of defects in additive manufactured parts. The entire history of each sample will be captured on this system; from specific printing parameters and details of precursor materials through to part characterizations and performance measureme ...

    STTR Phase I 2018 Department of DefenseNavy
  8. Nondestructive Evaluator for Polymer Ablatives (NEPAL)

    SBC: Intelligent Automation, Inc.            Topic: N18AT011

    Materials for thermal protection are required to protect structural components of space vehicles during the re-entry stage, missile launching systems, and solid rocket motors (SRMs). Polymer resins that have high char retention (e.g., phenolic resins) are the most common matrices in the composite materials for rigid thermal protection systems (TPSs) due to their tunable density, lower cost, and hi ...

    STTR Phase I 2018 Department of DefenseNavy
  9. Rapid Identification of Effects of Defects within Metal Additive Manufacturing (RIED-AM)

    SBC: Intelligent Automation, Inc.            Topic: N18AT013

    Additive manufacturing (AM) systems, especially metal AM, bring revolutionary capabilities, but suffer from a lack of understanding of the defects that exist within the components. In this research, based on selective experimental study and numerical simulations, we will develop an empirical database of defects and their effects on mechanical properties using Laser Powder Bed Fusion (LPBF) technol ...

    STTR Phase I 2018 Department of DefenseNavy
  10. Situational Awareness for Mission Critical Ship Systems using Probabilistic Knowledge Graph

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: N18AT009

    This effort proposes to develop situational awareness methodologies for mission critical ship system based on the state-of-the-art probabilistic knowledge graph (KG) and deep learning. The proposed KG approach can incorporate various data fusion technologies for analysis of unstructured data (text, images, etc.) and structured data (signal feeds, database items, etc.) for automated decision suppor ...

    STTR Phase I 2018 Department of DefenseNavy
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