Award Data

An estimated 70% of supercomputing cycles are dedicated to solving large-scale least squares problems, which are at the core of important DOE computational problems in energy fusion research, bioinformatics, geodetics, structural analysis, tomography, and astrophysics. This project will extend the already successful Sca/LAPACKrc FPGA-accelerated solver suite for linear equations, with added functi ...

Over 70% of supercomputing usage today is dedicated to solving large systems of linear equations. Linear equations are at the core of the most important DOE computational problems in energy fusion research, accelerator simulations, weather modeling, oil & gas exploration, chemistry, materials, and astrophysics, among others. This project will provide computational power to the solution of large de ...

Accudyne proposes a SBIR program, endorsed by Sikorsky, Cytec Engineered Materials, and NASA-LaRC, to develop a cost-effective thermoplastic automated tow placement (ATP) process and demonstrate it by fabricating and testing a complex contoured skin (Phase 1) and a CH-53K rotorcraft lower cabin or ramp skin (Phase 2). The process employs in situ consolidation, avoiding the autoclave. The targete ...

This proposal will supply to NAVAIR and to rotorcraft manufacturing companies the emerging solution to their fabrication needs as it relates to the production of Rotor Blade Spars. The process and machine concept developed in Phase I will provide NAVAIR and the rotocraft manufacturing companies an automated solution to spar manufacturing. This will enable: • Low part manufacturing cost • High ...

Out-of-autoclave thermoplastic tape/tow placement (TP-ATP) is nearing commercialization but suffers a moderate gap in mechanical properties compared with laminates fabricated via thermoset autoclave processing. Out-of-autoclave thermoplastic processing significantly lowers composite aerospace part costs, but the property gap must be closed. This STTR program, endorsed herein by Boeing and Cytec ...

3 Sigma Research proposes an innovative approach to develop a open architecture based data model and process for adding self-identifying information to a datagram. The power of our potential solution is in applying results from our research of Packaged Ontology Certificates to the unique performance issues with real-time processing of datagrams. Combining this with a revolutionary way of viewing ...

We propose a novel, high performance tunable narrowband bandpass preselect filter that is capable of continuously tuning from 400MHz - 3GHz. The proposed filter offers an order of magnitude reduction in SWAP-C, small size (1/2" x 1/2" x 1/4"), low cost and minimal power consumption. The proposed design uses conventional fabrication processes and inexpensive off-the-shelf commercially available com ...

Precise monitoring and maintenance of engine lubricating oils is essential to extend operating life and minimize engine wear. Oil analysis has long been used by the Navy for preventative maintenance of its fleet. However, the manpower requirements for these maintenance programs place a significant burden on personnel. There is demand across all the armed services for the automation of preventative ...

PALS for Sniper Detection (PALS-SD) is a straightforward near-term evolution of A2-T2’s existing PALS 3D for enhanced long-range facial identification technologies. Essentially, our existing multi-modal Electro-Optical/IR/Laser-Sight/Designator/Range-Finder configurations will be upgraded to include an eye-safe pulsed laser and sensor that discriminately detects reflections from eyes and optics. ...

There are often secondary or tertiary effects to blast-related injuries including ear injury and hearing loss, which may also result in cognitive and linguistic deficits. The PALS medical Phase I prototype will be a modular addition to our existing technologies that assist with the rehabilitation of traumatic brain injury and gait training for patients with stroke, cerebral palsy and amputations. ...