Award Data

The military is actively implementing diagnostics, prognostics, and health management technologies across platforms in an effort to reduce maintenance costs, increase readiness and availability, and improve safety. In aircraft electric power systems, the largest maintenance driver is the generator, followed by the batteries. Common faults include winding shorts, pitting and spalling in bearings, a ...

This Phase I STTR proposal is to designed to utilize the fundamental properties of POSS® nanotechnology to provide a new higher Tg and fracture toughness ambient cure epoxy matrix for use in Vacuum Assist Resin Transfer Molding (VARTM) manufacturing. Nanostructured ambient cure epoxy matrices based upon Polyhedral Oligomeric Silsesquioxanes (POSS®) will be reinforced with carbon-fiber and glass ...

The United States Navy has identified the need to investigate the use of auxetic fabric for military personnel protective clothing including jackets, shirts, pants, helmets, boots, gloves, and even body armor. Auxetic fabric technology has a unique feature in that it exhibits a negative Poisson"s ratio effect when subjected to an axial load. Auxetic fabric consists of an elastomeric core yarn, whi ...

To address the Navy"s need for a common, scalable, platform for multi-modal 1pA level current sensing for Electrocardiogram (ECG), Electroencephalogram (EEG), and Electrodermal Response (EDR) to be fielded as a miniature wearable device with non-contact electrodes, Sentient and the State University of New York (SUNY) propose to develop the Bioelectronic Fusion Sensor System (BioFuSenS) that will a ...

Deep Learning Training Accelerator (DeLTA) for Space Object Detection is an inline approach to reduce the amount of data required to train object recognition models without significant loss of performance; thus, cutting respective training time. DeLTA addresses the industry recognized challenge of costly  - in terms of time and computing resources - Deep Neural Network (DNN)  model training pe ...

Under this effort, Sentient will develop mixed-EHL models to predict the performance of fluid film bearings for submarine applications. The models will consider critical design and operational parameters such as component geometry and surface finish, start up and shut down speeds/loads, and lubrication properties to predict torque, film thickness, and associated wear/efficiency. The result will be ...

Unmanned Aerial Vehicles (UAVs) have served to enhance and augment the surveillance and reconnaissance abilities of the military of the United States of America. In developing the next generation of UAVs, the application of novel methodologies to UAV control will become more important as the number and mission criticality of deployed UAVs continues to increase. One of these novel approaches, lon ...

The objective of this project is to develop algorithms controlling the high level flight pattern of Unmanned Aerial Vehicles (UAVs) utilizing swarming technology in a manner to maximize Automatic Target Recognition (ATR) performance for a selected algorithm through cooperative search operations involving a larger number of inexpensive UAVs. Based upon the success and results of the Phase I work, ...

Competitive, national security, and efficiency concerns provide an urgent need for ceramic matrix composite research and development, particularly for use in hypersonic and turbine engine applications. Thermal and mechanically-induced stresses in these structures limit speed, strength, and life-expectancy. Composite performance may be greatly enhanced through the use of novel additives, such as fi ...

The proposed STTR Phase I study is aimed at exploring lightweight and multi-layer materials towards enhancing their armor performance. Different Al alloys will be assembled into a two-layer configuration with good metallic bond between inter-layers. 2139-T8 Al alloy evolved by efforts of Alcan and the Army Research Laboratory will be selected as one of the layers in the laminated assembly. 5083, 7 ...