Award Data

The goal of this program is to develop and construct a thin, light weight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes electro-optically active nanomaterial structures, suitable for UAVs platform. The nano-material beam-steering technology aperture system offers an ultra-thin Size, Weight, and Power (SWAP) to fit on UAV;s airframe and achieve ultrafast and wide ...

One important challenge for the reliable prediction of liquid fuel effects on the combustion in aviation combustors and augmentors is the accurate modeling of underlying physical processes, involving the evaporation of fuels, preferential vaporization, scalar mixing and ignition. LES methodologies are required to accurately capture these transient and inherently unsteady combustion processes. In t ...

The proposed project will develop advanced modeling capabilities for high-fidelity liquid-fuel spray calculations. State-of-the-art multiphase combustion models will be implemented in a volume-filtered Eulerian-Lagrangian framework that can easily be ported into existing CFD codes. Unlike traditional methods, the proposed strategy will ensure convergence under mesh refinement of the interphase exc ...

The primary objective of this effort is to develop a tractable computational tool to assess the probability of ignition within aircraft combustors and augmentors during routine igniter and/or system design analysis. This computational tool will provide for the off-line assessment of ignition probability given flowfield simulation data, characteristic igniter geometric and physical parameters, and ...

Rigor and precision in understanding training design exists within the academic literature of the learning sciences but accessing the state-of-the-art in the learning sciences and applying its lessons to specific requirements questions is a daunting challenge. A requirements analyst may not know where to look or how to interpret and apply the information they find in the academic literature. Train ...

The objective of this STTR research program is to develop a reduced order modeling (ROM) approach for efficiently and accurately representing computed CFD ship airwake data. This approach will enable the streamlined integration of the airwake flowfield with real-time piloted flight simulation environments, reduce the storage requirements of the original CFD airwake model by a factor of 1000, and p ...

For the Phase I effort, PiAC has designed a light weight sensor pod (LWSP) system to satisfy the Navys specific requirements of Topic N171A-T007. PiACs technical design solution meets the topic requirements, based on initial analysis. PiACs plan is to use this design as baseline for major trades and compliance analyses. The LWSP design will be structurally sized and validated to minimize weight. P ...

ATA Engineering and researchers at the Georgia Institute of Technology will develop a framework for the accurate reconstruction of rotor loads from a suite of fixed-frame fuselage sensors that are utilized to augment physics-based simulations. The loads reconstruction framework will consist of two modules: the physics module, which provides first-principles predictions from simulations, and the se ...

Automatic Speech Recognition (ASR) is the capability where spoken words, commands or phrases are ingested and interpreted by a software system and used to elicit activity or response. ASR capabilities range from dictation, which converts speech into text; to systems that interpret and respond to speech in proper context. In a vast majority of military domains, substantive verbal communication is a ...

BCL proposes developing a Graphical Speech Recognition Tool (GSRT) that will allow Navy Training Operators and Developers to customize Automatic Speech Recognition (ASR) Systems to their scenarios within minutes and without the need for external support. In addition, the GSRT System will have a Train the Speaker module that will allow users to familiarize themselves with the ASR System so that the ...