Award Data

DESCRIPTION provided by applicant Doppler ultrasound is relied upon as the primary and often the only test used to diagnose vascular pathology Because variations in technical skill directly impact surgical referral decisions there is a strong clinical need to ensure that provides both attain and maintain skills in this procedure The problem we address is the lack of a quantitative or standar ...

The broader impact/commercial potential of this Small Business Technology Transfer Phase II project is to demonstrate a low cost, environmentally friendly co-extrusion fabrication method for producing high surface area micro- and nanofiber based nonwoven fuel filter sheets. The micro-/nanofiber nonwoven structures are fabricated from two different hydrophilic and hydrophobic polymers in a melt co- ...

This Small Business Technology Transfer (STTR) Phase II project develops eWriter devices for classroom use as a sustainable paper replacement technology and an effective tool for student-teacher interaction. The eWriters provide a paper-like writing experience and electronically capture, store, and transfer handwritten text and images. For education, eWriters introduce a sustainable paper replacem ...

Leveraging the results of our Phase I work, the Torch Team proposes to execute laboratory-based experiments to elucidate fundamental micro-debris formation mechanisms to improve optical modeling of impacts. Optical signatures from impacts collected over the last decade have identified definitive micro-debris parameter trends. However, current theories have difficulty reproducing these optical ob ...

The ability to assign a level of confidence for build quality is fundamental to the deployment of powder bed technology. Accordingly, the research objective of this work is to use probability theory as a glue to combine the physics-based models used for the selection of processing parameters together in order to produce quality deposits using the following approach: (1) Use probability theory as ...

In Phase I of this project MLPC, WSU, and AFIT were successfully able to identify several optical data features that are indicative of the quality of components built with the selective laser melting additive manufacturing process. Four unique optical sensors were identified to collect this information and they include infrared and visible wavelength high-speed cameras and spectrometers. The sen ...

Despite the rapid commercialization of additive manufacturing technology such as selective laser melting, SLM, there are gaps in process modeling and material property prediction that contribute to slow and costly process development, process qualification and product certification. To address these gaps, CFDRC and our partner Dr. Kevin Chou, University of Alabama, will develop multiple computatio ...

DESCRIPTION provided by applicant The overall goal of this project is to demonstrate the ability of our acute myocardial infarct selective paramagnetic contrast agent Gadolinium ABE DTTA to differentiate between acute and chronic infarcts in a reliable manner using contrast enhanced magnetic resonance imaging ceMRI In our Phase I data we have shown that Gd ABE DTTA exclusively highlight ...

This Phase II STTR will develop a precision balanced optical cross-correlator using engineered nonlinearoptical waveguides. The proposed device will be important for future advances at large scale accelerator facilities by providing a means to achieve long-term sub-femtosecond timing and synchronization of all of a facilitys optical and RF sub-systems over fiber optic links. Statement of how this ...

The majority of Big Data applications have been built around the MapReduce paradigm. Despite the popularity of MapReduce, there are several obstacles to applying it for some commercial and scientific use-cases. This includes the requirement to load data into specialized file systems, like HDFS, in addition to long intermediate data shuffle and sorting phases involving storage, which will impose si ...