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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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. Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms

    SBC: Opto-knowledge Systems, Inc.            Topic: N17BT035

    The Navy needs cognitive control capabilities that enable an autonomous robotic team comprised of a ground control station node and a team of UAS platforms to operate independently (or with minimal human oversight) while carrying out complex missions. A cognitive control capability needs to be developed that concurrently optimizes the balance of mission risk / performance with respect to the Navy ...

    STTR Phase II 2019 Department of DefenseNavy
  2. Protocol Feature Identification and Removal

    SBC: P&J ROBINSON CORP            Topic: N18AT018

    Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...

    STTR Phase II 2019 Department of DefenseNavy
  3. High Throughput Testing of Additive Manufacturing

    SBC: MRL MATERIALS RESOURCES LLC            Topic: N18AT028

    Additive manufacturing is a disruptive new manufacturing paradigm that hold tremendous potential for creation of novel designs and introduction of novel new alloy systems. However, much of this potential remains unrealized due to a lack of robust material properties databases. Accurate calibration of materials models and robust part qualification and certification regimes both will require massive ...

    STTR Phase II 2019 Department of DefenseNavy
  4. Oxygen Production and Delivery on Demand

    SBC: Global Research and Development Inc.            Topic: DHA17B005

    This Phase II proposal is in response to the Defense Health Agency 2017 SBIR topic 17B-005. The approach is an electrochemical membrane oxygen pump using newly developed nano-thickness membrane technology. The total membrane with all the layers is less

    STTR Phase II 2019 Department of DefenseDefense Health Agency
  5. Additive Manufacturing for Naval Aviation Battery Applications

    SBC: Texas Research Institute, Austin, Inc.            Topic: N18AT008

    Texas Research Austin (TRI-Austin) will continue to partner with the University of Texas, Austin, to use additive manufacturing for fabricating and optimizing the lithium ion and electroactive metal electrode systems for which the team established proof of concept in the Phase I base period. The Aerosol Deposition Method (ADM) is a broadly applicable additive manufacturing technology that has been ...

    STTR Phase II 2019 Department of DefenseNavy
  6. Information-based Norms on Flow, Operations and Traffic Over Networks (INFOTON)

    SBC: ISEA TEK, LLC            Topic: N18AT027

    The Internet of Things (IoT) connects people, data, and "things" (e.g., software, sensors, platforms), facilitating the translation of information into actions. Although naval platforms’ networks and communication suites have evolved significantly in the past few years to support such required connectivity, one of the greatest technical challenges still facing the military community is the proce ...

    STTR Phase II 2019 Department of DefenseNavy
  7. Detect and Avoid Certification Environment for Unmanned Air Vehicles (UAVs)

    SBC: RDRTec Incorporated            Topic: N18AT007

    The objective of this project is to develop a comprehensive suite of tools, called the DAA Radar Software Suite and Simulation (DAA-RSSS), that supports future Navy procurement and certification of non-cooperative sensor technologies for Detect And Avoid (DAA) as well as develop plans to support EO/IR sensors as the non-cooperative sensor as informed by FAA activities in developing Minimum Operati ...

    STTR Phase II 2019 Department of DefenseNavy
  8. Physics-based Computationally Efficient Spray Combustion Models for LES of Multiphase Reacting Flows

    SBC: CFD Research Corporation            Topic: N17AT002

    One important challenge for the reliable prediction of liquid fuel effects on the combustion in aviation combustors and augmentors is the accurate modeling of underlying physical processes, involving the evaporation of fuels, preferential vaporization, scalar mixing and ignition. LES methodologies are required to accurately capture these transient and inherently unsteady combustion processes. In t ...

    STTR Phase II 2019 Department of DefenseNavy
  9. Risk-Based Unmanned Air System (UAS) Mission Path Planning Capability

    SBC: BARRON ASSOCIATES, INC.            Topic: N17BT034

    Current aircraft operations within the National Airspace System (NAS) rely heavily on the presence of an on-board pilot to safely manage the flight. Integration of Unmanned Aircraft Systems (UAS) into the NAS requires a high confidence that these operations can meet or exceed the safety afforded through manned operations. Specifically, these UAS operations must not pose an undue risk to persons, s ...

    STTR Phase II 2019 Department of DefenseNavy
  10. Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life Calculation

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N17AT009

    Phase I addressed the technological gap in the predictive capabilities of CFD/FSI in the context of hybrid loads/sensor models used in an aircraft’s fatigue life tracking program for critical fuselage and dynamic components across the full flight regime. It demonstrated these technology advancements: (1) a combined rotor, fuselage aeroelastic model; (2) empirical rotor hub loads prediction from ...

    STTR Phase II 2019 Department of DefenseNavy
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