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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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An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive ManufacturingSBC: Citrine Informatics, Inc. Topic: N18AT013
In this project, Citrine Informatics and the ADAPT Center at the Colorado School of Mines propose to build an informatics-driven system to understand the effects of defects in additive manufactured parts. The entire history of each sample will be captured on this system; from specific printing parameters and details of precursor materials through to part characterizations and performance measureme ...STTR Phase I 2018 Department of DefenseNavy
SBC: IERUS TECHNOLOGIES INC Topic: N18AT009
The US Navy operates a vast fleet of combat and support vessels with complex power control systems under the control and decision authority of human operators. Several current resources such as SPY-1D radar and Vertical Launch System (VLS) and future resources such as railgun, AMDR, and high energy laser (HEL) are energy hungry, exceeding current and planned power generation capability when deploy ...STTR Phase I 2018 Department of DefenseNavy
Control & Optimization of Multiple Illumination Characteristics (COMIC) of A Pulsed Fiber Array Laser System For Active Imaging Through FogSBC: MV Innovative Technologies LLC (DBA: Opt Topic: N18AT021
Degraded weather conditions particularly, dense maritime fog, reduces the US Fleet EO/IR systems ability to maintain situational awareness and detect/identify and track targets of interest. It is the Navys goal to develop an active EO/IR imaging system that jointly optimizes illumination source properties and implements advanced image processing to improve performance and operational range of curr ...STTR Phase I 2018 Department of DefenseNavy
SBC: Plasma Processes, LLC Topic: N18AT026
Friction stir welding (FSW) is an attractive joining method where high strength low porosity welds can be attained. However, the high temperatures and forces required for welding high strength materials like steel require the use of exotic tools. Cubic boron nitride (cBN)-based tools offer attractive tool wear characteristics in steels, but are very costly. Conversely, refractory metal alloys are ...STTR Phase I 2018 Department of DefenseNavy
High Throughput Static and Dynamic Testing of AM Materials for Uncertainty Quantification and QualificationSBC: MRL MATERIALS RESOURCES LLC Topic: N18AT028
Qualification of additively manufactured parts is hampered by the inherent uncetainty in properties due to heterogeneity in processing, microstructure, and defects. The proposed effort combines high-throughput testing of static and dynamic properties using tailored sample geometry, fixture design, and load application method with microstructure quantification and analysis. This system will drastic ...STTR Phase I 2018 Department of DefenseNavy
SBC: P & J ROBINSON CORP Topic: N18AT018
Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...STTR Phase I 2018 Department of DefenseNavy
SBC: SOAR TECHNOLOGY INC Topic: N18AT019
We currently lack the ability to holistically and autonomously look across all three layers of cyberspace (persona, logical and physical) and identify interesting patterns, which would give us an edge in understanding complex activities in and through cyberspace. To address this challenge, Soar Technology (SoarTech) and the GeorgiaTech Research Institute (GTRI) propose Twiner, an intelligent syste ...STTR Phase I 2018 Department of DefenseNavy
SBC: RAM LABORATORIES Topic: N18AT027
The Internet of Things (IoT) is increasingly being used to create smart platforms where operators are being removed from the loop. These smart capabilities include collaborative IoT sensors and platforms that are self-aware and provide capabilities of self-prediction, self-configuration, and self-maintenance. To fully take advantage of these advances, however, testbeds and frameworks are needed to ...STTR Phase I 2018 Department of DefenseNavy
SBC: SA PHOTONICS, LLC Topic: N18AT021
Active imaging systems are used to for imaging in degraded visual environments like that found in marine fog and other environments with a high level of attenuation and scattering from obscurants like fog, rain, smoke, and dust.These systems are still limited in range and resolution. SA Photonics is taking advantage of multiple image enhancement techniques, like wavelength tunability, pulse contro ...STTR Phase I 2018 Department of DefenseNavy
SBC: HAL Technology, LLC Topic: N18AT023
Gas turbine engines with prolonged exposure to sand and dust are susceptible to component and performance degradation and ultimately engine failure. Hal Technology’s proprietary, compact, rugged, flush-mounted, fiber-optic sensor platform measures particulate size, size distributions, and concentration for real-time engine health monitoring. Our proposed sensor will use an innovative hybrid disc ...STTR Phase I 2018 Department of DefenseNavy