Award Data

Sciperio with team members Georgia Institute of Technology and Centecorp have teamed up to develop an Additive Manufacturing Composite using nano and micro fillers. The team will develop multi-scale models that are supported by experimental characterization for advanced 3D Printable materials. Inelastic response of high strength hierarchical structures composed of engineered materials and specif ...

The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...

Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

For this Phase I SBIR proposal, Vcom3D proposes to design advanced medical moulage that accurately simulates the progression of an injury or pathology by morphing through a series of clinical states to enable learners to confirm the progression of the wound and to determine whether iatrogenic errors or pathologies occurred duing treatment. The physical morphing moulage may be applied to medical m ...

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

The high-quality, burr-free finishing of complex, advanced metallic parts with hyper-smooth surface finishes (

Accurate real-time waterborne pathogen detection is of paramount importance to security of U.S. military forces and installations. Fieldable high-throughput pathogen concentration is a critical analytical need for enhanced detection performance. Existing concentration methods are time-consuming, bulky, labor-intensive, power- and reagent-hungry, and consequently ill-suited for battlefield deployme ...

Environmental stresses such as droughts, floods, storms, earthquakes, wildfires, pest infestations, volcanic eruptions, and infectious disease vectors are often key contributing factors to defense interventions, including humanitarian response, counter insurgency, and border control. As a result, early phase military planning activities need to incorporate systematic monitoring and forecasting of ...

The team proposes a 3D SAR algorithm based on the principles of radar tomography, which allows for transmitters and receivers to be arbitrarily located in a 3D volume. Data is collected and the output is a complete true 3D image of the reflectivity scene. The tomographic SAR provides detailed features on both horizontal (e.g., flat terrain) and vertical (e.g., building or canyons). With a proper ...

The project will remove a key difficulty that currently hampers many existing methods for computing unsteady electromagnetic waves on unbounded regions. Numerical accuracy and/or stability may deteriorate over long times due to the treatment of artificial outer boundaries. We propose to develop a universal algorithm and software that will correct this problem by employing the Huygens'principl ...