Award Data

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 ...

While AM systems, especially metal AM, bring revolutionary capabilities and have the potential to reduce supply chain issues and enable new designs through unique layer-by-layer fabrication capabilities, AM technologies currently suffer from defects that exist within the components. Defects such as porosity, inclusions, large-scale voids, and chemical inconsistencies can inhibit the functional per ...

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 ...

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 ...

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 ...

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 ...

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 ...

Sonalysts, Inc. (Sonalysts) proposes the development and feasibility evaluation of a Threat Reduction by Integration of Metadata (TRIM) toolkit to integrate metadata from operational sources, independent of naval operational domain. Sonalysts will leverage the broad expertise of its employees (of which 40% are military veterans) and its software engineering and modeling resources to develop an ont ...

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 ...

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 ...