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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.
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A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
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SBC: Lorad Chemical Corporation Topic: N222116
Lorad Chemical Corporation (“Lorad”) has developed nano-scale high-purity Calcium Lanthanum Sulfide ("CLS") powders suitable for fabrication of near theoretical density infrared ("IR") transparent domes, windows, lenses, and other parts. CLS incorporated into optical components and domes / windows has several applications in IR optical sensing systems and IR lenses for laser applications. ...SBIR Phase I 2023 Department of DefenseNavy
SBC: PC Krause And Associates, Inc. Topic: N222117
Metal additive manufacturing (AM), particularly, laser powder-bed fusion (LPBF) has transformative potential to achieve geometric design freedom at low production volumes. However, porosity and localized defects remain a significant challenge to implementation in mission critical aerospace applications. While the quality of LPBF is now competitive with or surpasses castings for established materia ...SBIR Phase I 2023 Department of DefenseNavy
SBC: QUESTEK INNOVATIONS LLC Topic: N222117
Through this proposed SBIR effort, QuesTek Innovations LLC will develop a physics-enhanced machine learning (ML) software to reduce exhaustive typical on-destructive testing or enable feed forward control methodologies for fabrication of high-quality additive manufacturing (AM) component. Process induced defects like keyholing and lack of fusion porosity are shown to be strongly correlated with AM ...SBIR Phase I 2023 Department of DefenseNavy
Artificial intelligence and machine learning algorithms to detect defects in additive manufacturing by fusing multiple sensor dataSBC: ADDIGURU, LLC Topic: N222117
While additive manufacturing (AM) has enabled the fabrication of complex geometries, process repeatability, and part quality has been an inhibitor to widespread industry adoption. Parts fabricated using metal AM can have their mechanical properties compromised due to the presence of defects. Presently, quality assurance is achieved by X-ray Computed Tomography (CT), which is costly and time-consum ...SBIR Phase I 2023 Department of DefenseNavy
SBC: Product Innovation And Engineering, LLC Topic: N222117
In-process inspection offers a path forward to insuring components produced via metal additive manufacturing (AM) such as directed energy deposition (DED). However, a simple anomaly detection ML technique driven from observational data may be insufficient for tracking the performance of a system intended to produce arbitrary geometry. The methodology chosen for a defect monitoring system must be g ...SBIR Phase I 2023 Department of DefenseNavy
SBC: KITWARE INC Topic: N222117
Additive manufacturing (AM) increases the speed and flexibility of production and enables traditional part concatenation for advanced manufacturing capabilities. The ability for U.S. manufacturers to 3D-print advanced components in-house reduces reliance on traditional subtractive supply chains and bolsters national security readiness. While AM affords unique flexibility in design for manufacturab ...SBIR Phase I 2023 Department of DefenseNavy
SBC: VISION SYSTEMS INC Topic: N222118
Despite a large and growing set of available data sources across many domains, identifying and tracking developing threats in operational domains remains a critical unsolved problem. Extraction of relevant threat information and correlation across multiple modalities is required to take full advantage of the data available. VSI proposes TALON, a system for leveraging natural language descriptions ...SBIR Phase I 2023 Department of DefenseNavy
Artificial Intelligence-Driven Multi-Intelligence Multi-Attribute Metadata Enabling All-Domain Preemptive MeasuresSBC: IERUS TECHNOLOGIES INC Topic: N222118
In response to the Navy’s need for an AI-enabled multi-attribute generation system, IERUS Technologies proposes to determine the technical feasibility, design and prototype for a system that can be fully integrated with proper associative databases to monitor and track developing activities/signals in all operational domains. This prototype architecture will extract meta-data attributes from exi ...SBIR Phase I 2023 Department of DefenseNavy
SBC: MOSAIC ATM, INC. Topic: N222118
The number of sources and amount of data that Naval intelligence analysts are required to manually sift through in order to ensure maritime forces have both actionable intel and provide decision advantage for their commanders is daunting. Today, existing tools are time-consuming, workforce intensive, and cumbersome to process and distribute in a timely fashion. Fortunately, this is a problem that ...SBIR Phase I 2023 Department of DefenseNavy
SBC: INTELLISENSE SYSTEMS INC Topic: N222119
To address the Navy’s need for next generation heads-up displays (HUDs) to provide training aids, operational tools, and situational awareness (SA) visualizations, Intellisense Systems, Inc. proposes to develop a new Wide-angle Augmented-Reality Infantry Operational Robust Heads-Up-Display (WARIOR-HUD) based on an innovative integration of a wide field-of-view (FOV) conformal layered optical sph ...SBIR Phase I 2023 Department of DefenseNavy