Award Data

The objective of the efforts being proposed is to develop high energy density and power density batteries with long cycle life by high-speed additive manufacturing technologies.

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 ...

Effective and efficient data-driven mission support is crucial for achieving readiness and superiority in warfighting enterprises. Leveraging machine learning (ML) and artificial intelligence (AI) in mission planning would not only minimize the human-error factors and increase accuracy, but also improve speed in planning, execution, and evaluation of a mission. REVAMP will improve the next generat ...

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 ...

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 ...

The primary objective is to develop electric machine/drive topologies and power architectures that achieve the power densities required for 50% more power without the increase in weight or space requirements. In addition to PMSM-based designs, two new machine topologies will be considered. The first is a trapped flux coreless (TFC) machine that utilizes superconducting pucks made of YBCO to produc ...

Energy to Power Solutions (e2P) has teamed with quench detection (QD) expert Dr. Yuri Lvovsky (retired GE), Dr. Sastry Pamidi of the Center for Advanced Power Systems (FSU-CAPS), and American Superconductor Corporation (AMSC) to design, fabricate, and test a robust, reliable, and low cost QD system. e2P’s proposed system is a vastly different quench avoidance system that will provide multiple le ...

The littoral and specifically surf zone regions with breaking waves, bathymetry, weather, currents, tides, obstacles, etc. create a dynamic environment that can be very challenging for conducting operations. Systems are being developed to increase situational awareness in this region, however expensive physical testing to verify performance is limited to specific areas and conditions. To supplemen ...

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 ...

The development of a catastrophic optical damage model for quantum cascade lasers describing instantaneous laser damage at high optical power levels is proposed. The model will be validated by comparison to experimental data. Based on obtained results, changes to laser design and laser fabrication resulting in an increased damage threshold will be implemented. The work will ultimately result into ...