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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. GECCO: Gecko-gripper for EOD with Cavitation Cleaning Operation

    SBC: VALOR ROBOTICS, LLC            Topic: N19AT011

    The objective of the Phase I proposal is to investigate the application of controlled cavitation cleaning technology in conjunction with gecko-inspired mechanical adhesion and soft elastomeric applicators for use in non-intrusive EOD operations. This investigation requires the proof-of-concept testing and validation of a controlled cavitation cleaning mechanism, and a soft robotic gecko-inspired m ...

    STTR Phase I 2019 Department of DefenseNavy
  2. Power Dense Turbo-Compression Cooling Driven by Waste Heat

    SBC: MANTEL TECHNOLOGIES, INC.            Topic: N19AT013

    The U.S. Navy seeks methods to improve the fuel economy of marine diesel engines through utilization of waste heat. Low temperature engine jacket water, lubrication oil, and aftercooler air are largely untapped streams of thermal energy on these ships, but their utilization circumvents many operation challenges associated with exhaust gases. For example, variable and high exhaust gas temperatures ...

    STTR Phase I 2019 Department of DefenseNavy
  3. High Speed Spinning Scroll Expander (HiSSSE)- Organic Rankine Cycle for Increased Naval Ship Power Density and Fuel Efficiency

    SBC: Air Squared, Inc.            Topic: N19AT013

    Waste heat from Naval diesel generators provides significant opportunity to introduce organic Rankine cycles (ORC) to increase their fuel efficiency. The objective of the proposed effort is to design and demonstrate a high-speed, spinning scroll expander (HiSSSE) ORC as a power dense waste heat recovery system for diesel generators on ships. The system will leverage Air Squared’s spinning scroll ...

    STTR Phase I 2019 Department of DefenseNavy
  4. Propagation Established through Autonomous Raman Lidar (PEARL)

    SBC: SPECTRAL SCIENCES INC            Topic: N19AT015

    Accurate characterization of and propagation modeling through the Marine Boundary Layer is critical for maximizing Electro-Magnetic (EM) systems signal exploitation for naval asset offensive, defensive, and stealth operational performance. Strong temperature and humidity gradients in the Surface Boundary Layer lead to optical paths exhibiting Electro-Optic Infrared (EOIR) anomalous refraction and ...

    STTR Phase I 2019 Department of DefenseNavy
  5. Interlaminar Reinforcement of Composite Rotorcraft Components via Tailored Nanomorphologies of Aligned Carbon Nanotubes (A-CNTs)

    SBC: METIS DESIGN CORP            Topic: N19AT003

    Composites are often used in aerospace applications due to their superior specific strength and stiffness properties, as well as their resistance to fatigue and corrosion. In particular for rotorcraft, composites offer additional benefits for their versatility in tailoring material properties for such components as rotor blades. However, rotors introduce additional challenges by including multiple ...

    STTR Phase I 2019 Department of DefenseNavy
  6. Targeted Enhancement of Critical Composite Interfaces using Vertically Aligned Carbon Nanotubes

    SBC: N12 TECHNOLOGIES, INC.            Topic: N19AT003

    Vertically-aligned carbon nanotubes (VACNTs) will be selectively applied at interfaces in laminated composite structures to effect locally the mechanical properties that limit rotorcraft structures, such as fatigue and damage tolerance. In Phase I this work will quantify these effects in CFRP and CFRP/GFRP hybrid coupons. The VACNT material will be transferred directly onto prepreg plies, but also ...

    STTR Phase I 2019 Department of DefenseNavy
  7. FPGA Vulnerability Analysis Tools

    SBC: BLUERISC INC            Topic: N19AT018

    BlueRISC's proposed solution takes the form of an automated toolkit that is able to analyze an FPGA bitstream with respect to exploitability. The solution relies on an FPGA-agnostic framework for automatically reverse-engineering an FPGA-bitstream into an intermediate representation (IR). This IR is FPGA agnostic and enables a program-analytic framework for extracting a fundamental FPGA-centric Vu ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Seamless Wireless Charging of Micro and Small Unmanned Aerial System Through Local Power Transmission Infrastructure

    SBC: EH GROUP INC            Topic: N19AT019

    Wireless charging of unmanned aerial system (UAS) platforms from the environment has the potential to greatly increase flight and mission times. A promising option is to use electromagnetic fields from the power transmission infrastructure as an energy source. EH Group and the University of Alabama propose a design for UAS wireless charging in the near-field environment of the commercial power tra ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Data Analytics and Machine Learning Toolkit to Accelerate Materials Design and Processing Development

    SBC: CFD RESEARCH CORPORATION            Topic: N19AT020

    Navy has identified refractory high entropy alloy (RHEA) and metal additive manufacturing as two potential areas of interest. This includes designing new RHEA and optimizing metal additive manufacturing with specific material property requirements. Developing materials and processes via applying traditional experimentation and process optimization techniques is painfully slow due to the large numb ...

    STTR Phase I 2019 Department of DefenseNavy
  10. Cyber Adversary Discovery Engine (CADE)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N19AT021

    We propose to design and build the Cyber Adversary Discovery Engine (CADE) for forensic cyber analysis. CADE combines expressive behavioral modeling technology with machine learning to automatically recognize adversary behaviors, goals and tactics, techniques and procedures (TTPs). CADE can further automatically recognize changes in adversary TTPs that occur in forensic data. A key technical capab ...

    STTR Phase I 2019 Department of DefenseNavy
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