Award Data

This Navy STTR Phase I proposal presents an unprecedented NDI tool to support laser additive manufacturing of metal parts by using fiber laser SAW and heterodyne detection. It is the enabling technology for real time characterize the AM parts in terms of temperature, cooling rate, grain structure, and defects. A proof of concept demonstration will be carried out at the end of Phase 1.Prototypes wi ...

We propose development of a software capability which, based on use of MathSysaccurate and efficient exact-physics computational electromagnetics (CEM) solvers, will enable modeling and optimization of the properties of on-platform pRFID tag/reader antenna systems. Passive Radio Frequency Identification devices (pRFID) mounted on complex rotorcrafts pose challenging modeling problems: since pRFID ...

To handle the so-called black start fault contingency, Energy to Power Solutions proposes the use of a novel hybrid cable design. The cable would be designed to handle the full 100 % electric power load under normal operating and battle conditions (i.e. a fully/partially functioning cryogenic cooling system operating at cryogenic temperatures ~ 50-60 K), and capable of handling 30 % of the rated p ...

Additive manufacturing (AM) is a very promising technique for rapid, low-cost production of aircraft parts directly from a CAD file. AM is especially appealing for complex parts that would be costly or impossible to fabricate by machining or casting. At the current time there are no reliable, cost-effective techniques to qualify the finished parts. Several government studies have noted this gap an ...

Robotic Research, LLC (RR) and Southwest Research Institute (SwRI) are creating a prototype Learning-based Approach for Relevant Data Extraction (LARDE). The LARDE framework is a data extraction and handling framework that can intelligently reduce the volume of raw data from on-board sensors, and organize and persistently store the reduced relevant dataset.