Award Data

The ability to predict the ignitibility potential of a combustor at various operating conditions is not practical at this time due to the complexity of this process. Ignition within a gas turbine combustor is dependent on various parameters; including spark (or plasma) energy, flow conditions, fuel/air ratio, and fuel spray density. All these parameters must be properly predicted in order to effec ...

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 ...

Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but suffers from well known problems of inconsistent quality of the finished product. Process monitoring and feedback control are therefore crucial research areas with a goal of solving this problem. To address this concern, X-wave Innovations, Inc. (XII) and the University of Dayton Res ...

Global Technology Connection, Inc., in collaboration with its academic and industrial partners, proposes to develop a software tool that will incorporate systematic wavelet-analysis-based approach for addressing fatigue in a rotary H-60 helicopter (and aerospace applications in general). This fatigue spectrum editing tool will preserve fatigue damage and minimize testing times and costs as well as ...

Materials for thermal protection are required to protect structural components of space vehicles during the re-entry stage, missile launching systems, and solid rocket motors (SRMs). Polymer resins that have high char retention (e.g., phenolic resins) are the most common matrices in the composite materials for rigid thermal protection systems (TPSs) due to their tunable density, lower cost, and hi ...

Additive manufacturing (AM) systems, especially metal AM, bring revolutionary capabilities, but suffer from a lack of understanding of the defects that exist within the components. In this research, based on selective experimental study and numerical simulations, we will develop an empirical database of defects and their effects on mechanical properties using Laser Powder Bed Fusion (LPBF) technol ...

Superconductor digital circuits, operating at very high clock speed, can directly process wideband digitized radio frequency (RF) signals. By integrating such digital processing circuitry together with superconductor analog-to-digital converters (ADCs), we propose to develop the next generation digital-RF receivers. Leveraging the recent development of multiple superconductor ADCs on the same chip ...

This effort proposes to develop situational awareness methodologies for mission critical ship system based on the state-of-the-art probabilistic knowledge graph (KG) and deep learning. The proposed KG approach can incorporate various data fusion technologies for analysis of unstructured data (text, images, etc.) and structured data (signal feeds, database items, etc.) for automated decision suppor ...

To address the need of auto-extracting data relevant to significant events and to archive patterns, Intelligent Automation, Inc. (IAI) team proposes to continue developing a Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE. The key innovations of our proposed SEE system are (1) a large class of analytics that extract valuable and important information from raw data, a ...

The ability to refuel piloted aircraft in flight is considered a strategic military advantage and has been a critical element of success in nearly every US and NATO military engagement of the jet age. One key asset used to facilitate aerial refueling is PMA-201’s Aerial Refueling Store (ARS), which allows fighters and other store-carrying aircraft to be reconfigured as tankers. The ARS is set to ...