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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. Optimized High Performance Stainless Steel Powder for Selective Laser Melting Additive Manufacturing (AM)

    SBC: Shepra, Inc.            Topic: N16AT007

    Stainless steel is a vital component of many air, land and sea systems that support the Navy warfighter. In particular, 17-4 precipitation hardened stainless steel, (17-4 PH SS) with its extrodinary combination of strength, ductility, high temperature performance and corrosion resistance plays an important role in supporting the warfighter. When processed conventionally, 17-4 PH SS typical exhibit ...

    STTR Phase II 2018 Department of DefenseNavy
  2. 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
  3. Quantifying Uncertainty in the Mechanical Performance of Additively Manufactured Parts Due to Material and Process Variation

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N16AT004

    Additive manufacturing (AM) technology offers rapid prototyping and large design freedom. It can potentially reduce costs and improve quality by providing precise control on microstructure and density for the production of complex components. However, the part quality and mechanical performance of components fabricated by current AM technology are not comparable to that produced by traditional met ...

    STTR Phase II 2018 Department of DefenseNavy
  4. Innovative Multi-scale/Multi-physics based Tool for Predicting Fatigue Crack Initiation and Propagation in Aircraft Structural Components using Phase

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N16AT003

    We propose to further develop the phase-field modeling and simulations we carried out in Phase I. Key focus of our research effort are enhancement phase-field models and computational strategies in order to make them applicable to more general, complex static and fatigue loading situations to predict crack initiation and growth in unified computational framework. Entire process of crack nucleation ...

    STTR Phase II 2018 Department of DefenseNavy
  5. 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
  6. 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
  7. 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
  8. Ocean Surface Vector Winds (OSVW)

    SBC: Atmospheric & Space Technology Research Associates, L.L.C.            Topic: N16BT026

    Ocean surface winds are critically important in naval operations. They may aid, hinder, or negate maneuvers and operations, and are a primary consideration in routing ships. Continuous and reliable information on favorable and unfavorable sea state is critical for a broad range of naval missions, including strategic ship movement and positioning, aircraft carrier operations, aircraft deployment, e ...

    STTR Phase II 2019 Department of DefenseNavy
  9. Video Information Summarization, Captioning, Analysis, and Rank Ordering (VISCARO)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: N17AT021

    Military and open-source videos contain a wealth of information about entities, concepts, and events of interest to U.S. and coalition forces. Analysts have access to these video sources but are severely limited in exploiting the information contained within due to manpower and technical limitations. To fully understand the relevance of a video to mission objectives, analysts must watch each video ...

    STTR Phase II 2018 Department of DefenseNavy
  10. Developing Software for Pharmacodynamics and Bioassay Studies

    SBC: TConneX Inc.            Topic: DHP16C001

    Thegoal is to develop asoftwaretool that implementsa novelapproach applicableto fitgeneral pharmacologic, toxicology, or other biomedical data, that mayexhibita non-monotonic dose-responserelationship for which thecurrent parametricmodels fail. Thesoftwareexplores dose-responserelationships using both monotonicand non-monotonicmodels,and estimates theassociated doseresponsecurves,which can further ...

    STTR Phase II 2019 Department of DefenseDefense Health Program
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