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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.

Displaying 21 - 30 of 26489 results
  1. Robust, Automatic Mesh Generation for Multidisciplinary Design of Naval Aircraft

    SBC: SIMMETRIX, INC.            Topic: N23AT001

    Multidisciplinary design, analysis, and optimization (MDAO) is a critical enabling technology for the design of complex systems such as naval aircraft. Using high-performance computing and modern analysis codes, many aspects of naval aircraft, and other, systems can be accurately modeled. However, the generation of the meshes analysis codes need as input is overly time consuming, while it takes su ...

    STTR Phase I 2023 Department of DefenseNavy
  2. Automatic Mesh Adaptation Method for Aero-Thermal-Structural Design

    SBC: SPECTRAL ENERGIES LLC            Topic: N23AT001

    In response to the request for proposal (RFP) STTR topic N23A-T001, describes mesh generation and adaptivity as “significant bottlenecks” for current high-fidelity CFD. While methods for producing high-quality meshes exist, they require nontrivial and frequent human intervention. Moreover, these techniques result in a disconnect between the parametric model and the output mesh representation, ...

    STTR Phase I 2023 Department of DefenseNavy
  3. DIGITAL ENGINEERING- Integration of Fiber Optics Systems Design, Supportability, and Maintainability

    SBC: Critical Frequency Design, LLC            Topic: N23AT002

    Advancements in optical transport and signal processing for digital and Microwave Photonics (MWP) technology have enabled higher bandwidth, throughput, Dynamic Range (DR), and communication link budgets. Optical transport eliminates heavy shielded twisted pair or coaxial cables, reducing Size, Weight, and Power (SWaP) and provides Electromagnetic Interference (EMI) immunity compared to traditional ...

    STTR Phase I 2023 Department of DefenseNavy
  4. Advanced Physics Modeling for Gas Turbine Particulate Ingestion

    SBC: COMBUSTION RESEARCH & FLOW TECHNOLOGY INC            Topic: N23AT003

    Ingestion of silicate particles into aircraft gas turbine (GT) engines remains a serious hazard to both commercial and military aircraft. Helicopters and low-flying fixed-wing aircraft in desert environments are exposed to airborne sand particulate. Both commercial and military aircraft can be exposed to runway dust as well as high-altitude volcanic ash. These silicate particulates present a hazar ...

    STTR Phase I 2023 Department of DefenseNavy
  5. Improved Physics Modeling for Sand Particulate Tracking and Deposition in Gas Turbine Engines

    SBC: ALIR TECHNOLOGIES LLC            Topic: N23AT003

    The effect of particle ingestion in gas turbine engines has become a significant problem in recent decades. Commercial and military aircraft and helicopter engines currently operate over various terrains with particles. Vehicles near the ocean, for example, typically come across sea spray, which contains fine particulates of salt and can lead to the quick corrosion of metallic engine parts inside ...

    STTR Phase I 2023 Department of DefenseNavy
  6. Improved Particle Tracking Through Efficient Scale-Resolving Simulations and Advance Physics Models

    SBC: Technology In Blacksburg Inc            Topic: N23AT003

    It is well known that gas-turbine powered aircraft operating in brown-out conditions can ingest a significant amount of particles leading to reduced engine performance, a reduction in time between maintenance and increased safety concerns. As such, it is critical to be able to accurately model the impact of ingested particles in engines for both maintenance purposes and in the design of new, more ...

    STTR Phase I 2023 Department of DefenseNavy
  7. Predictive and Adaptive Machine Control for Additive Manufacturing

    SBC: LASER FUSION SOLUTIONS LLC            Topic: N23AT004

    The metal laser powder bed fusion market has an amazing projected compound annual growth rate of 22.5% to 28% over the next 5 years, which is driven by the aerospace and biomedical industries. However, part certification remains an arduous process due to the numerous rouge defects and anomalies which can occur. In situ sensors have promised and been shown to be capable of spotting these defects;  ...

    STTR Phase I 2023 Department of DefenseNavy
  8. Digital Twin-based Machine Control for Laser Powder Bed Fusion of Metallic Aerospace Components

    SBC: HIDENN-AI LLC            Topic: N23AT004

    Additive manufacturing (AM) processes such as laser powder bed fusion (LPBF) have received a great deal of attention due to their unique capability in producing parts with complex geometries. However, a major challenge limiting the application of LPBF today is the high variability in the quality of finished components. To address this challenge, HIDENN-AI, LLC and Northwestern University (NU) prop ...

    STTR Phase I 2023 Department of DefenseNavy
  9. Digital Engineering-Digital Twin-based Machine Control for Adaptive Additive Manufacturing Processing of Metallic Aerospace Components

    SBC: Global Engineering and Materials, Inc.            Topic: N23AT004

    Due to the physical complexity and intrinsic randomness in metal additive manufacturing (AM), the process control is intractable, the part quality is not repeatable, and the existing models fail to give consistent results to guide process design. To address this challenge, Global Engineering and Materials, Inc. (GEM) and its team members propose to develop a digital twin (DT) for AM process to ena ...

    STTR Phase I 2023 Department of DefenseNavy
  10. Digital Twin-Based Laser Powder Bed Fusion In-Situ Monitoring and Healing Package

    SBC: X-Wave Innovations, Inc.            Topic: N23AT004

    Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but it suffers from well-known problems of inconsistent quality of the finished product. The US Navy is interested in addressing this problem by developing a digital twin-based machine control tool for in-situ AM process monitoring and healing. Therefore, sensor fusion monitoring, machin ...

    STTR Phase I 2023 Department of DefenseNavy
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