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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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 1 - 10 of 26121 results
  1. Data-Driven Hypersonic Turbulence Modeling Toolset

    SBC: ATA ENGINEERING, INC.            Topic: N22AT016

    Development of hypersonic aircraft and weapon systems has become a critical focus for the Department of Defense to maintain global strike and projection of force capabilities. Despite decades of research, traditional computational fluid dynamics (CFD) methods are either incapable of adequately predicting complex features in hypersonic flows or too expensive to be of practical use for vehicle desig ...

    STTR Phase II 2024 Department of DefenseNavy
  2. Multiple-order, Automatic mesh generation for multidisciplinary Analysis

    SBC: CFD RESEARCH CORPORATION            Topic: N23AT001

    Multidisciplinary design, analysis, and optimization of hypersonic aircraft require automated adaptive mesh generation across disparate length scales. In the current state-of-the-art, geometry-aware adaptive meshing techniques are still lacking and the such geometric discrepancy can lead to significant errors in the prediction of critical physics, such as shock-boundary layer interaction and fatig ...

    STTR Phase I 2023 Department of DefenseNavy
  3. Toolkit to Produce Common Adaptive Mesh for Virtual Reality-based Multidisciplinary Interactive Design of Naval Aircraft

    SBC: Global Engineering and Materials, Inc.            Topic: N23AT001

    Global Engineering and Materials, Inc. (GEM), along with its team member Professor Ming-Chen Hsu’s research group at Iowa State University (ISU), proposes the development of an innovative and effective octree-based adaptive meshing tool for efficient multi-physics simulations for aircraft design and analysis. The proposed tool is capable of autonomously generating a common mesh from Computer-Aid ...

    STTR Phase I 2023 Department of DefenseNavy
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
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