Award Data

In this STTR effort nGimat will partner with the University of Kentucky to develop a new process for manufacturing scandia-doped tungsten powder for use in vacuum tube cathode devices. While a significant amount of research over the last several decades has shown promise for scandate cathode materials, reliable manufacturing processes that enable commercialization of this technology have remained ...

Vacuum Process Engineering Inc. in collaboration with the UC Davis millimeter wave research group proposes to develop a large scale production process for nanocomposite scandate tungsten powder for advanced high current density and long life thermionic cathodes that have been previously demonstrated by UC Davis to be superior to the commercially available state-of-the-art. The produced cathodes de ...

DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools. If the information in dark data --- scientific papers, Web classified ads, customer service notes, and so on --- were instead in a relational database, it would give analysts access to a massiv ...

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 ...

This Navy STTR Phase I proposal presents an unprecedented NDI tool to quantify mechanical properties of metal parts made with laser additive manufacturing with material characteristics and process parameters. A fiber laser SAW and heterodyne detection is used with LIBS to study both in-process and post-process for both flat and shaped parts. It is the enabling technology for characterize the AM pa ...

Robotic Research, LLC (RR) and Southwest Research Institute (SwRI) are creating a prototype Learning-based Approach for Relevant Data Extraction (LARDE). The LARDE framework is a data extraction and handling framework that can intelligently reduce the volume of raw data from on-board sensors, and organize and persistently store the reduced relevant dataset.

This proposal describes an all optical fixed wing landing system for a aircraft carrier capable of flying an aircraft all the way to landing in a RF denied environment. The precision, reliability and accuracy of this system will allow control the aircraft without the help from the pilot all the way to touch down. It will work seamlessly with UAVs and manned aircraft that have been retrofitted with ...

The computation and real-time implementation of controls in nonlinear systems remains one of the great challenges for applying optimal control theory in demanding aerospace and industrial systems. Often, linearization around a set point is the only practical approach, and many controllers implemented in hardware systems are simple linear feedback mechanisms. From proportional guidance in missiles ...

In our Phase I program, JEM and ASU will demonstrate a low cost manufacturing process to achieve the full theoretical hesitivity of a magnetic film that would enable greater effective hesitivity laminate. In Phase II we will develop a viable continuous process for two such materials to achieve light weight, low cost, and improved radiation efficiency; and we will seek to productize this process to ...

In this proposed SBIR program, IBC Materials & Technologies, in conjunction with our industry partner Mechanical Solutions, Inc. (MSI) and Texas A&M University, will leverage our knowledge and experience in the domain of industrial metallic coatings to develop a metallurgical coating solution for the Air Foil Bearing. IBC has deep expertise in a variety of industrial coating processes including mu ...