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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. High Fidelity Computational Models for Aggregated Tissue Interaction in Surgical Simulations

    SBC: CFD RESEARCH CORPORATION            Topic: DHP16A001

    Surgical simulations aiming to support surgeon practices and medical education have attracted enormous research effort over the last two decades. However, the physical reality, especially on simulating aggregated tissue interaction, is still unsatisfactory. In this proposed work, an open source surgery simulation framework, SoFMIS, will be utilized and enhanced with tissue interaction models to a ...

    STTR Phase I 2016 Department of DefenseDefense Health Agency
  2. Methods for Actionable Measures of Absolute Cognitive Workload

    SBC: VR REHAB INC            Topic: N16AT002

    Cognitive workload is the amount of mental effort an individual must exert to perform a required set of tasks. The proposed methods for actionable measures of absolute cognitive workload will integrate subjective workload ratings together with real-time physiological measures and assessments of mission effectiveness based on carefully designed scenarios. These data will be used as input parameters ...

    STTR Phase I 2016 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

    TDA has teamed up with Lawrence Livermore National Laboratory as its research institution collaborator to address the target STTR topic objective of quantifying the uncertainties in the mechanical behavior of the AM parts. To quantify uncertainties by minimizing both the computational burden and expensive testing and also overcoming the IP concerns, we propose a novel approach with three layered i ...

    STTR Phase I 2016 Department of DefenseNavy
  4. Process diagnostics to quantify mechanical performance of AM parts

    SBC: POLARONYX INC            Topic: N16AT004

    This Navy STTR Phase I proposal presents an unprecedented NDI tool to quantify mechanical properties of metal parts made with laser additive manufacturing with material characteristics and process parameters. A fiber laser SAW and heterodyne detection is used with LIBS to study both in-process and post-process for both flat and shaped parts. It is the enabling technology for characterize the AM pa ...

    STTR Phase I 2016 Department of DefenseNavy
  5. Microstructure Informatics for Propagating Uncertainty in Material and Processing to Performance Predictions of AM Titanium Parts

    SBC: MRL MATERIALS RESOURCES LLC            Topic: N16AT004

    During AM of metallic alloys, a material exhibits several complex physical phenomena that impact the spatial distribution of heterogeneous material properties within a built component. Subsequent post-processing alters the already heterogeneous location-specific material properties. This project is to develop a novel methodology for linking the time and length scales of the various physical phenom ...

    STTR Phase I 2016 Department of DefenseNavy
  6. Air Cycle Machine Low Friction, Medium Temperature, Foil Bearing Coating

    SBC: ACREE TECHNOLOGIES INCORPORATED            Topic: N16AT005

    The purpose of this project is to demonstrate the feasibility of using an innovative, durable, low friction, and non-toxic solid lubricant coating for foil air bearings for air cycle machines (ACM). Acrees coating provides superior wear characteristics at all temperatures and provides a substantial improvement over polyimide type coatings that are currently used on ACMs. The coating consists of tw ...

    STTR Phase I 2016 Department of DefenseNavy
  7. Advanced, nanostructred low-friction coatings for foil air bearings

    SBC: MesoCoat            Topic: N16AT005

    During Phase I, we propose to develop nanostructured, low friction thermal sprayed coatings that are able to withstand high dynamic loadings. Additionally, the novel coatings will possess a low friction coefficients in humid air, dried conditions and various greases and lubricants. These novel nanostructured coatings will be manufactured by HVOF spraying of solid lubricants based nanostructured po ...

    STTR Phase I 2016 Department of DefenseNavy
  8. Additive Manufacturing of 17-4 PH Stainless Steel Metal Matrix Composites using Nickel functionalized Carbon Nanotubes

    SBC: SHEPRA, INC.            Topic: N16AT007

    Additive Manufacturing (AM) has a potential to significantly reduce the cost and lead time associated with the maintenance and sustainment issues faced by the US Navy. However, current materials such as 17-4 PH Stainless Steel typically achieve half the required mechanical properties when additively manufactured, thus limiting the use of AM in critical parts. Recent advancements in carbon nanotube ...

    STTR Phase I 2016 Department of DefenseNavy
  9. Nanoporous block polymer separators for high performance and safe Li-ion batteries

    SBC: ADA TECHNOLOGIES, INC.            Topic: N16AT008

    To meet Navy needs for high performance and safe lithium ion (Li-ion) batteries for naval aircraft, ADA Technologies Inc. (ADA) and its university collaborator propose to develop and optimize tailor designed nanoporous separators derived from functionalized block copolymers (polyolefins) with low cost precursors. The innovative strategy provides a powerful tool to allow exquisite tuning of perform ...

    STTR Phase I 2016 Department of DefenseNavy
  10. Medium Voltage Direct Current (MVDC) Fault Detection, Localization, and Isolation

    SBC: ISSAC Corp            Topic: N16AT009

    The ISSAC Team leverages existing knowledge and expertise in power system monitoring, fault identification, localization and isolation in conjunction with rich, deep data analytics for pattern matching to devise a system for Medium Voltage Direct Current (MVDC) power system fault management. Because of the differences between AC and DC power grids there are a significant number of problems in deal ...

    STTR Phase I 2016 Department of DefenseNavy
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