Award Data

The objective of this project is to develop a comprehensive suite of tools, called the DAA Radar Software Suite and Simulation (DAA-RSSS), that supports future Navy procurement and certification of non-cooperative sensor technologies for Detect And Avoid (DAA) as well as develop plans to support EO/IR sensors as the non-cooperative sensor as informed by FAA activities in developing Minimum Operati ...

With the advent of the Navy’s newest classes of all-electric vessels, the interdependence and functional correlation of the power plant with other mission-critical ship systems such as integrated cooling, weapons, navigation, air surveillance, and IT control network systems, maintaining optimal oversight and control of power distribution aboard ship becomes increasingly challenging. As the opera ...

Texas Research Austin (TRI-Austin) will continue to partner with the University of Texas, Austin, to use additive manufacturing for fabricating and optimizing the lithium ion and electroactive metal electrode systems for which the team established proof of concept in the Phase I base period. The Aerosol Deposition Method (ADM) is a broadly applicable additive manufacturing technology that has been ...

Pulse voltammetry techniques, coupled with model-based analysis tools, provide a number of advantages for quantitative analysis of electrochemically active materials that govern the performance of batteries and fuel cells. In prior Phase I and II research, CFD Research developed and validated computational models in software that reads voltammogram data from laboratory instruments; predicts the re ...

Ocean surface winds are critically important in naval operations. They may aid, hinder, or negate maneuvers and operations, and are a primary consideration in routing ships. Continuous and reliable information on favorable and unfavorable sea state is critical for a broad range of naval missions, including strategic ship movement and positioning, aircraft carrier operations, aircraft deployment, e ...

Additive manufacturing is a disruptive new manufacturing paradigm that hold tremendous potential for creation of novel designs and introduction of novel new alloy systems. However, much of this potential remains unrealized due to a lack of robust material properties databases. Accurate calibration of materials models and robust part qualification and certification regimes both will require massive ...

The Internet of Things (IoT) connects people, data, and "things" (e.g., software, sensors, platforms), facilitating the translation of information into actions. Although naval platforms’ networks and communication suites have evolved significantly in the past few years to support such required connectivity, one of the greatest technical challenges still facing the military community is the proce ...

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 ...

Optically pumped magnetometers provide very high performance but they cost tens of thousands of dollars, and they are large and power hungry. Recently we successfully developed and commercialized laser pumped magnetometers with size, weight and power consumption that is an order of magnitude below current state-of-the-art without sacrificing performance. In this project, the focus will be on produ ...

Automatic Speech Recognition (ASR) allows trainees to practice verbal communication skills in representative training environments without the need for human role players. However, these technologies have yet to become a feature of most training systems. Building on Phase I work, SoarTech along with our academic partners at UC Davis, proposes developing Soliloquy, a novel interface that allows non ...