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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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In situ NDI and correction of the AM process with laser SAW and heterodyne detectionSBC: POLARONYX INC Topic: N15AT008
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 ...STTR Phase I 2015 Department of DefenseNavy
Innovative Physics-based Modeling Tool for Application to Passive Radio Frequency Identification System on RotorcraftSBC: MATHEMATICAL SYSTEMS & SOLUTIONS INC Topic: N15AT005
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 ...STTR Phase I 2015 Department of DefenseNavy
Novel Approach to Hybrid High Temperature Superconducting CableSBC: TAI-YANG RESEARCH CO Topic: N15AT016
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 ...STTR Phase I 2015 Department of DefenseNavy
In Situ Inspection of Additive Manufactured Metallic Parts Using Laser UltrasonicsSBC: INTELLIGENT OPTICAL SYSTEMS INC Topic: N15AT008
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 ...STTR Phase I 2015 Department of DefenseNavy
LEARNING-BASED APPROACH FOR RELEVANT DATA EXTRACTION (LARDE)SBC: ROBOTIC RESEARCH OPCO LLC Topic: N13AT016
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.STTR Phase II 2015 Department of DefenseNavy