Award Data

Thermo-mechanical processes of turbine disks have been progressively improved to meet microstructural requirements tailored for advanced, sustainable high temperature performances. However, the chemistry of typical Ni-base turbine disk alloys is very complex, and yields a variety of phases and microstructural anomalies under different thermo-mechanical heat treatments. These microstructural hetero ...

The Barron Associates/Virginia Tech team believes that intelligent use of ambient riverine environmental factors together with novel drifter design and low-energy articulation is the key to enabling large non-overlapping river coverage. The proposed phase I research program focuses on (1) identifying key river characteristics which may be leveraged by riverine drifters, (2) fabricating a novel riv ...

The research objective is to develop a fully functional computational method for prediction of the after-burning effect of different fuels in a wide range of temperature, pressure, and turbulence regimes. Achievement of the objective requires understanding and modeling of key phenomena including (a) post-detonation response of the fuels, (b) near-field coupling of detonation products with particul ...

Impact Technologies, in cooperation with Dr. Mohammed Daqaq from Clemson University, propose to develop a magnetostrictive materials based device for harvesting energy from mechanical vibration. The energy harvesting device will harness power from ship-hull vibrations in order to power sensing devices. This technology will be a key enabler for improved structural and machinery health management. K ...

Aurora Flight Sciences and MIT propose to develop a model-based adaptive health estimation and real-time proactive control to identify gas turbine engine stability risks and avoid them through control action. In this concept, the engine control system actively monitors sensors and actuators, compares them against physical models, and infers which components may be performing poorly and may need to ...

Images with associated text are now available in vast quantities, and provide a rich resource for mining for the relationship between visual information and semantics encoded in language. In particular, the quantity of such data means that sophisticated machine learning approaches can be applied to determine effective models for objects, backgrounds, and scenes. Such understanding can then be used ...

Stealth is a primary consideration in design and operation of ships and submarines in the Navy fleet. Noise in hydraulic systems and piping is one source of unwanted noise. A method to measure and monitor this noise is essential to controlling and eliminating these noise sources. With the assistance of UMASS Dartmouth we will present a method to externally measure the fluidborne sound pressure lev ...

This proposal is being submitted in response to the solicitation topic N10A-T002 (Development of a Computational Method for Prediction of After Burning Effect) by BUSA Engineering Consulting (Dr. Jianghui Chao) in collaboration with University of Florida (PI: Prof. S. Balachandar). The overall objective of the proposed effort is to contribute to national defense and security by advancing the state ...

Impact Technologies, in collaboration with the Georgia Tech Center for Innovative Fuel Cell and Battery Technologies, proposes to develop tools for Lithium Ion Battery Risk Assessment (LIBRA). These tools will allow the Navy to analyze proposed Li-Ion battery designs and assess the overall risk to the platform in the event of failure in a single cell. The tool will also predict the effects of a ca ...

Impact Technologies, in collaboration with Penn State Applied Research Laboratory, proposes to develop an advanced Battery Monitoring and Management System (BMMS) for lithium-ion battery packs that ensures adequate, safe, and reliable operation. This system will focus on real time diagnostics, prediction of catastrophic failure, and risk assessment for individual cells in high power applications. ...