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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. Additive Manufactured PEKK Implants for Small Bone Arthroplasty

    SBC: Oxford Performance Materials, Inc.            Topic: NIAMS

    ABSTRACT This Phase I STTR is designed to evaluate the feasibility of using the OsteoFabtechnology platform for joint arthroplastyArthroFabdevicesspecifically targeting replacement of the small carpal bones in the wrist and hemiarthroplastyOsteoFabtechnology is the combination of Oxford Performance Materialsandaposproprietary formulation of polyetherketoneketoneOXPEKKpolymerand additive manufactur ...

    STTR Phase I 2019 Department of Health and Human ServicesNational Institutes of Health
  2. Additive Manufacture of Inorganic Freeform Gradient-Index Optics

    SBC: VOXTEL, INC.            Topic: N19BT028

    An additive-manufacturing process will be developed for printing high-quality freeform inorganic gradient-index (GRIN) optical elements. Candidate nanocrystal materials including ZnS, ZrO, TiO2, PbSe, and rare-earth-doped metal oxides, will be synthesized and characterized. A process for inkjet-print depositing high-volume-percent loading density of binary, ternary, quaternary, etc., nanoparticle ...

    STTR Phase I 2020 Department of DefenseNavy
  3. Additive Manufacturing (AM) of Thermal Protection Systems (TPSs) Using Preceramic Polymer Resin

    SBC: TEXAS RESEARCH INSTITUTE , AUSTIN, INC.            Topic: T12

    NASA requires significant advancements to Thermal Protection System (TPS) manufacturing processes to achieve the goals of improved performance, quality, and reduced cost of human-rated spacecraft.nbsp; Advances in additive manufacturing (AM) and high temperature materials provide an opportunity to develop a thermoset resin-based process to reduce the cost and complexity of TPS manufacturing. nbsp; ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  4. Additive Manufacturing for Microwave Vacuum Electron Device Cost Reduction

    SBC: RADIABEAM TECHNOLOGIES, LLC            Topic: N16AT010

    The Department of the Navy has a need for the development of an additive manufacturing (AM) process for key vacuum electronic device components to meet on-demand, flexible, and affordable manufacturing requirements. The developed manufacturing method has a potential to reduce cost of vacuum electronics by as much as 70% as well as simplify and hence expedite production process of these devices by ...

    STTR Phase I 2016 Department of DefenseNavy
  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. Additive Manufacturing of Continuous Carbon Fiber Reinforced Phthalonitriles for Thermal Protection

    SBC: KAI, LLC            Topic: T12

    The KAI-UD team proposes to develop a methodology to manufacture continuous carbon fiber-reinforced high-temperature thermoset composite TPS via state-of-the-art (SOTA) additive manufacturing technique. In this proposal, commercially available phthalonitrile (PN) thermoset resin developed by NRL will be used for our Phase I study. As a class of high-temperature high-performance thermosetting polym ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  7. Additive Manufacturing of Multifunctional Nanocomposites

    SBC: Sciperio, Inc.            Topic: A13AT010

    Sciperio with team members Georgia Institute of Technology and Centecorp have teamed up to develop an Additive Manufacturing Composite using nano and micro fillers. The team will develop multi-scale models that are supported by experimental characterization for advanced 3D Printable materials. Inelastic response of high strength hierarchical structures composed of engineered materials and specif ...

    STTR Phase I 2013 Department of DefenseArmy
  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. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    This Phase II project aims to assemble the key set of sensor modalities that are needed to reliably view the key process anomalies and properties of laser powder bed fusion. The research team will down-select from the Phase I sensors investigated and integrate the sensors into a sensor fusion software package that facilitates data collection and synchronization, and eventually feedback control of ...

    STTR Phase II 2019 Department of DefenseDefense Logistics Agency
  10. ADP: Autonomous Deep Perception

    SBC: LYNNTECH INC.            Topic: N13AT016

    Autonomous systems acquire massive amounts of sensor and communications data over the course of their potentially lengthy missions. Ideally, such systems would incorporate current and historical data into their decision making processes to generalize from experience and avoid repetitive errors. However, the sheer quantity of data gathered can make storage and processing of an unfiltered data strea ...

    STTR Phase I 2013 Department of DefenseNavy
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