Award Data

This project will enhance the electrochemical machining process by improving pulse-reverse waveform design to enable ECM on next-generation alloys such as niobium C103 and improve tool design predictions through ECM simulation. Phase I will create a proof-of-concept demonstration of the use of optimal control theory for improving pulse-reverse waveform design on a C103 alloy. Waveform design will ...

Carbon sequestration, the process of converting atmospheric carbon dioxide (CO2) into more benign and/or useful forms, continues to advance in efforts to mitigate the negative impacts of climate change. Climate change continues to be a disruptive force, adding to the concerns of maritime defense. It threatens the capacity to respond in the wake of emergencies due to increased demands on Naval forc ...

The hypersonic flow regime introduces many unique phenomena (e.g., chemical disassociation, ablations, plasma, etc.), that make it difficult to understand the aerodynamic state (e.g., air speed, angle of attack (AOA), angle of sideslip (AOS), air density, air temperature, etc.) due to a lack of non-intrusive flight sensors that can survive the environment. However, for control, it is imperative to ...

Hypersonic flight conditions are greatly affected by incoming air state so it is critical to understand incoming air properties to adequately control vehicles under the extreme pressures and temperatures associated with hypersonic flight. Hypersonic vehicle flight envelopes cover a wide range of flight conditions proving challenging to encompass measurements with a single sensing technology. It is ...

Exhaust plumes from high-temperature and high-velocity aircraft engines and rockets present a significant measurement challenge due to their extreme conditions. Current measurement techniques have limited spatial and temporal resolution and are often invasive, limiting the data that can be collected. To address this need, we propose the development of a compact, high-resolution, high-bandwidth opt ...

We have demonstrated in phase I a methodology for establishing optimized processing parameters using melt pool characteristics as recorded from in-situ co-axial sensors linked to our machine learning tools.  These methodologies are designed for developing data-driven models from sparse experimental and modeling data and for multi-objective optimization.  In phase II of this effort, we will conti ...

This Phase I R&D effort will develop a technical concept for an integrated sensing module capable of in-situ atmospheric path target-in-the-loop characterization and forecasting at high temporal rates, which is required for mitigation of the negative impa

This Small Business Technology Transfer (STTR) Phase I project will develop an intelligent onsite oil condition monitoring system to quickly analyze the health of high-speed rotating and reciprocating machinery.Oil condition monitoring is a new and high-growth market with revenues of $505 million in 2017 and expected growth to $850 million by 2023. The market for onsite oil monitoring is expected ...

Project Summary Each year, between 340,000 and 900,000 premature deaths can be linked to air pollution caused by releasing Volatile Organic Compounds (VOCs), i.e., an estimated 1.8 billion tons of VOCs are emitted to the global environment each year. Also, some VOCs cause serious adverse health effects even at the trace level concentration, e.g., cancer, damage to the central nervous and immune sy ...

The metal laser powder bed fusion market has an amazing projected compound annual growth rate of 22.5% to 28% over the next 5 years, which is driven by the aerospace and biomedical industries. However, part certification remains an arduous process due to the numerous rouge defects and anomalies which can occur. In situ sensors have promised and been shown to be capable of spotting these defects;  ...