Award Data

Alameda Applied Sciences Corporation proposes to use its Filtered Cathodic Arc Plasma Deposition (FCAPD) process to apply reflective high-energy laser coatings to complaint polyamide substrates for space-based mirrors. FCAPD coatings have better adhesionand are denser and more stable than coatings deposited using other methods, such as, sputtering or evaporation. In addition, the internal stress o ...

The CipherProcessor architecture demonstrates reconfigurable opcodes unique to a specific processor or dynamically to a parallel environment and defined uniquely at compile time. Starting from a base of reconfigurable knowledge, Accord Solutions Inc willdevelop a reference design and demonstrate its viability. It incorporates an effective mechanism for delivery of compiled unique opcode binaries f ...

The objective of this proposed project is to develop innovative structural health monitoring (SHM) technologies for application to composite structures for unmanned air vehicle (UAV) platforms. Composites can incur invisible damage from impacts, loadingabrasion, operator abuse, or neglect that if unchecked may lead to lower structural reliability, higher life-cycle costs, and loss in operational c ...

Bonded repair is a preferred technique for repairing localized damage in aircraft structures that can provide an efficient method for restoring the ultimate load capability of the structure. However, the effectiveness of a bonded repair depends heavilyupon the integrity of the bonding interface between the repair patch and the host structure. Currently there are few inspection methods available to ...

Bonded repair is a preferred technique for repairing localized damage in aircraft structures like Apache, Chinook and Comanche that can efficiently restore the ultimate load capability of the structure. However, the effectiveness of the repair depends uponthe integrity of the bonding interface between the repair patch and the host structure. Currently there are no inspection methods that can provi ...

The proposed project will develop prototype software for a Stochastic Neural Network for Missile Reliability Prognostics. A neural network model will be developed to predict missile reliability based on the environmental history of particular missiles.Prediction training will be employed to predict missile reliability at future times, based only on training data available at the current time. Pr ...

This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material PointMethod) - MFM (Multiphase Flow Method) approach and the CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. Car ...

In Phase I we determined that available ANAM data, while extensive, was inadequate for normative purposes because of wide variations in testing conditions, test battery configuration, and subject demographics. In Phase II, we will complete our survey ofexisting data to define a general purpose ANAM test battery (ANAMgp). We will then collect normative data on the ANAMgp battery from 60 demograph ...

Data from original and archival sources will be used to compile normative values for both single and repeated administrations of selected ANAM test batteries. These norms will then be used to develop and evaluate strategies for creating cognitive statusreports (CSRs) for use by clinicians, field commanders, and other decision makers. Predictive subsets of the data generated by the test batteries ...

A shape capture system for field and industrial capture of surface contours and discontinuous shapes is proposed. The system will provide accuracy of 0.01 inch or better at over 1 million points distributed over a region 100 inches across from three ormore images obtained with a high resolution handheld digital camera. A tripod or bench mounted projector projects a pattern onto the surface from w ...