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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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Quantifying Uncertainty in the Mechanical Performance of Additively Manufactured Parts Due to Material and Process VariationSBC: VEXTEC CORPORATION Topic: N16AT004
The Phase I objective is a proof of concept capability integrating process information, material properties and damage tolerance simulations into the Additive Manufacturing (AM) design certification process. VEXTEC has a toolbox of software and methods that consists of various software modules in multiple formats that are used to assess the durability of parts processed by traditional methods of c ...STTR Phase I 2016 Department of DefenseNavy
SBC: TDA RESEARCH, INC. Topic: N16AT021
The Navy seeks new energetic and oxidizing ingredients for use in propellant and explosive formulations of modern weapons systems. With recent developments in the design and synthesis of new energetic molecules, we have the opportunity to take the steps needed before these materials can successfully transition to use in next generation propulsion and ordnance systems. TDA Research and the Universi ...STTR Phase I 2016 Department of DefenseNavy
SBC: RADIABEAM TECHNOLOGIES, LLC Topic: N16AT010
The Department of the Navy has a need for the development of an additive manufacturing (AM) process for key vacuum electronic device components to meet on-demand, flexible, and affordable manufacturing requirements. The developed manufacturing method has a potential to reduce cost of vacuum electronics by as much as 70% as well as simplify and hence expedite production process of these devices by ...STTR Phase I 2016 Department of DefenseNavy
SBC: INTELLIGENT OPTICAL SYSTEMS, INC. Topic: N15AT008
Additive manufacturing (AM) is a very promising technique for rapid, low-cost production of aircraft parts directly from a CAD file. AM is especially appealing for complex parts that would be costly or impossible to fabricate by machining or casting. At the current time there are no reliable, cost-effective techniques to qualify the finished parts. Several government studies have noted this gap an ...STTR Phase II 2016 Department of DefenseNavy
Improved Turbulence Modelling Across Disparate Length Scales for Naval Computational Fluid Dynamics ApplicationsSBC: COMPUTATIONAL SCIENCES LLC Topic: N15AT002
Computational Sciences LLC will collaborate with the Rensselaer Polytechnic Institute (RPI) to develop and validate a stand-alone computational module that naturally accounts for the effects of turbulence. Such fluctuations and transitions may be associated with compressible flows and boundary layer interactions. The module will be designed for implementation in to existing legacy codes for use in ...STTR Phase I 2015 Department of DefenseNavy
SBC: FOMS INC. Topic: N15AT014
FOMS Inc. and University of Southern California propose to develop the PRecision Optical Navigation Guidance (PRONG) system to provide continuous, high quality range and bearing data to fixed wing aircraft during landing approach to an aircraft carrier. The PRONG system uses infrared optical communications with advanced modulation and coding to measure range between ship and aircraft with accuracy ...STTR Phase I 2015 Department of DefenseNavy
SBC: Datanova Scientific LLC Topic: N15AT017
Knowledge graphs are information networks with a specific topology. The topology is simple enough that we do not need graph grammars to specify the subgraphs that belong to a mission graph. Knowledge graphs can be modeled as terms of an algebraic data type in a type system called Flutes. Flutes was created by Datanova Scientific to rigorously analyze formal approaches to semantic integration. This ...STTR Phase I 2015 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N15AT020
Intelligent Automation, Inc. (IAI) proposes to understand social bots behaviors, extract indicators, develop socio-computational models with predictive capabilities to detect bot activity, and implement them in a mature social media analytics software tool. Our approach will use predictive socio-computational models that exploit context, user, friends, temporal, and network features of social medi ...STTR Phase I 2015 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N14AT005
The US Navy faces daunting energy challenges that will further increase in severity, given the ever-increasing global demand for energy, diminishing energy supplies and demand for enhanced environmental stewardship. Additionally, noise is an important issue for the Navy due to the adverse effect it has on personnel and communities around naval air bases and training sites. Military combat aircraft ...STTR Phase II 2015 Department of DefenseNavy
SBC: TOYON RESEARCH CORPORATION Topic: N14AT009
Toyon Research Corporation, together with the University of California, Santa Barbara (UCSB) propose to demonstrate a GPS-denied Local Carrier-based Precision Approach and Landing System (LC-PALS) that enables 3-D position, navigation and time (PNT) for platforms within range of an aircraft carrier equipped with one or more ADEPT-compliant beacons. Unlike the Global Positioning System (GPS), which ...STTR Phase II 2015 Department of DefenseNavy