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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. Development of Advanced Ceramic Matrix Composite Matrices to 2000 Degrees C.

    SBC: ADVANCED CERAMIC FIBERS, L.L.C.            Topic: N22AT019

    Competitive, national security, and efficiency concerns provide an urgent need for ceramic matrix composite research and development, particularly for use in hypersonic and turbine engine applications. Thermal and mechanically-induced stresses in these structures limit speed, strength, and life-expectancy. Composite performance may be greatly enhanced through the use of novel additives, such as fi ...

    STTR Phase I 2022 Department of DefenseNavy
  2. Fatigue Prediction for Additive Manufactured (AM) Metallic Components

    SBC: SENTIENT SCIENCE CORPORATION            Topic: N19BT026

    Sentient proposes to develop a physics-based integrated computational materials engineering (ICME) framework (DigitalClone® Additive) to support the rapid qualification of AM components, including microstructural features, and macro-level fatigue performance. Sentient will apply their extensive experience with the DigitalClone technology to conduct multiscale modeling of AM process and resulting ...

    STTR Phase I 2020 Department of DefenseNavy
  3. Innovative Processing Techniques for Additive Manufacture of 7000 Series Aluminum Alloy Components

    SBC: SENTIENT SCIENCE CORPORATION            Topic: N18AT005

    To address the needs of Navy to successfully produce 7000 series aluminum alloy components, Sentient proposes to develop a hybrid additive manufacturing (AM) process for this topic. Hybrid AM use a secondary process (e.g. peening, burnishing) along with primary AM process to tightly control thermal profile and stress evolution locally and globally, resulting enhanced part quality (e.g. negligible ...

    STTR Phase I 2018 Department of DefenseNavy
  4. Modeling of Integrally Bladed Rotor (IBR) Blends

    SBC: Optimal Solutions Software, LLC            Topic: N13AT002

    The main goal of Phase II is to validate the Phase I prototype and develop an integrated design and analysis tool for assessing large damage and blends for compressor IBRs on gas turbine engines and other blade systems. This tool will have at its core the automated analytical modeling of as-measured or as-expected airfoil blends for the structural and aero response to the shape change due to blend ...

    STTR Phase II 2015 Department of DefenseNavy
  5. Bioelectronic Fusion Sensor System

    SBC: SENTIENT SCIENCE CORPORATION            Topic: N14AT019

    To address the Navy"s need for a common, scalable, platform for multi-modal 1pA level current sensing for Electrocardiogram (ECG), Electroencephalogram (EEG), and Electrodermal Response (EDR) to be fielded as a miniature wearable device with non-contact electrodes, Sentient and the State University of New York (SUNY) propose to develop the Bioelectronic Fusion Sensor System (BioFuSenS) that will a ...

    STTR Phase I 2014 Department of DefenseNavy
  6. Modeling of Integrally Bladed Rotor (IBR) Blends

    SBC: Optimal Solutions Software, LLC            Topic: N13AT002

    The overall goal of this Phase I project is to show the feasibility of using state-of-the-art parameterization tools for shape changes (i.e., volumetric deformation/morphing provided by Sculptor) coupled with a fast FEA tool (i.e., the MAX method) to quickly calculate the dynamic response of the many different shapes necessary for sample-based stochastic vibration analysis of IBRs with blends. The ...

    STTR Phase I 2013 Department of DefenseNavy
  7. Modeling to Quantify Improved Durability of Superfinish Gear Processing

    SBC: SENTIENT SCIENCE CORPORATION            Topic: N11AT007

    Under this STTR, Sentient Corporation, along with the Ohio State University GearLab as a research partner, will develop a probabilistic physics-based damage modeling tool for the simulation of superfinished gear components. This model will consider critical surface, material, and load parameters for components manufactured from common gear steels. The model will also analyze superfinished as well ...

    STTR Phase II 2013 Department of DefenseNavy
  8. Developing and validating a model to understand mixed lubrication regions for fluid-film bearings

    SBC: SENTIENT SCIENCE CORPORATION            Topic: N12AT010

    Under this effort, Sentient will develop mixed-EHL models to predict the performance of fluid film bearings for submarine applications. The models will consider critical design and operational parameters such as component geometry and surface finish, start up and shut down speeds/loads, and lubrication properties to predict torque, film thickness, and associated wear/efficiency. The result will be ...

    STTR Phase I 2012 Department of DefenseNavy
  9. Modeling to Quantify Improved Durability of Superfinish Gear Processing

    SBC: SENTIENT SCIENCE CORPORATION            Topic: N11AT007

    Under this STTR, Sentient Corporation, along with the Ohio State University GearLab as a research partner, will develop a probabilistic physics-based damage modeling tool for the simulation of superfinished gear components. This model will consider critical surface, material, and load parameters for components manufactured from common gear steels. The model will also analyze superfinished as well ...

    STTR Phase I 2011 Department of DefenseNavy
  10. Aircraft Electrical Power System Diagnostics and Health Management

    SBC: SENTIENT SCIENCE CORPORATION            Topic: N06T007

    The military is actively implementing diagnostics, prognostics, and health management technologies across platforms in an effort to reduce maintenance costs, increase readiness and availability, and improve safety. In aircraft electric power systems, the largest maintenance driver is the generator, followed by the batteries. Common faults include winding shorts, pitting and spalling in bearings, a ...

    STTR Phase I 2006 Department of DefenseNavy
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