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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 Manufacturing Process Monitoring and Control Technologies

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA181002

    This project aims to make Laser Powder Bed Fusion (LPBF) additive manufacturing a practical tool for supply chain management for the Defense Logistics Agency.The key step is developing process standardization to make LBPF quality vendor independent. This project will seek to demonstrate the use of a promising high speed melt pool monitoring device as a practical means to establish such process sta ...

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  2. Additive Manufacturing Process Monitoring and Control Technologies

    SBC: Made In Space, Inc.            Topic: DLA181002

    Made In Space, Inc. (MIS) and Siemens PLM Software propose an integrated Automated Processing. Monitoring, Control and Remediation System (Aul) to provide a process monitoring and control capability. Made In Space, Inc. leads the effort based on integrating Made In Space, Inc., proven inspection sensors systems with a Digital Thread for Additive Manufacturing (DTAM) system, co-developed by Siemens ...

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  3. Additive Manufacturing Process Monitoring and Control Technologies

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA181002

    This SBIR will demonstrate coaxial thermal imaging using the Stratonics ThermaViz® sensor as a uniquely effective tool for tracking process metrics, at high-speed, during laser powder bed fusion (LPBF). The Phase II project will then develop this sensing technique for LPBF process qualification and closed-loop control. The key is integrating ThermaViz into UTC’s AMSENSE® in situ monitoring arc ...

    SBIR Phase II 2019 Department of DefenseDefense Logistics Agency
  4. Additive Manufacturing Process Monitoring and Control Technologies

    SBC: Made In Space, Inc.            Topic: DLA181002

    Made In Space, Inc. (MIS) proposes an Aulë Filament Inspection System (AFIS) to provide filament quality control capability for additive manufacturing (AM). AFIS enables the Defense Logistics Agency (DLA) to confidently support AM efforts both internal to DLA and throughout its customer base such as the Marine Corp Advanced Manufacturing Operations Cell. To create the product quality line system, ...

    SBIR Phase II 2019 Department of DefenseDefense Logistics Agency
  5. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: SENVOL LLC            Topic: DLA18A001

    The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  6. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  7. 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
  8. Advanced Battery Manufacturing Technologies

    SBC: Xerion Advanced Battery Corp.            Topic: DLA142001

    In Phase I, XABC scaled the capability to produce nanostructured LCO cathodes using an electroplating process.In this phase II proposal, XABC proposes to further demonstrate this unique manufacturing capability to produce full cell batteries with enhanced performance and reduced cost in DLA products, as a precursor to XABC becoming a domestic manufacturer of electrochemical cells.This Phase II pro ...

    SBIR Phase II 2018 Department of DefenseDefense Logistics Agency
  9. Advanced Manufacturing Technologies

    SBC: ONTO TECHNOLOGY, LLC            Topic: DLA152001

    This Phase II Small Business Innovation Research project develops the scale of lithium-ion direct recycling technologies applied to gain efficiencies in materials management from original manufacturing to end-of-life. The scrap materials are from Defense Logistics Agency manufacturing activities. A successful effort moves direct recycle TRL from 4 to 6, increases process throughput, qualifies mate ...

    SBIR Phase II 2019 Department of DefenseDefense Logistics Agency
  10. Advanced Simulated Patient Intelligent Response Engine (ASPIRE)

    SBC: VCOM3D INC            Topic: DHA191002

    The goal of medical simulation-based training such as high-fidelity manikin simulators, part task trainers, and screen-based virtual patients, is to approximate real-life treatment experiences without risk to live patients. While the use of sensors has ma

    SBIR Phase I 2019 Department of DefenseDefense Health Agency
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