Award Data

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 ...

The proposed project will demonstrate the feasibility of developing a data driven prognostic fault tolerant smart weapon system concept for the Airborne Laser. A real-time prognostic health management (PHM) system will be developed to track the likelihoodof future system or subsystem failures and initiate or indicate appropriate actions to maintain or optimize system performance. A library of 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 Point Method) - MFM (Multiphase Flow Method) approach and CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. CartaB ...

This project will develop a data driven prognostic fault tolerant smart weapon system concept for the Airborne Laser. A real-time prognostic health management (PHM) system will be developed to track the likelihood of future system or subsystem failures and initiate or indicate appropriate actions to maintain or optimize system performance. A library of predictive algorithms will be employed to tak ...

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Crested multi-layer tunnel barriers have been proposed, which offer a revolutionary solution to overcome density to speed trade-offs characteristic of present data storage technologies. Practical implementation of the proposed technology will involve useof thin film materials which are readily manufacturable and CMOS-compatible. A critical need exists for experimental verification of the theoret ...

"This proposal is focused on enhancing and applying the trajectory generationalgorithms originally developed at Caltech to a small free-flight unmannedAero Utility Vehicle (AUV) that is under development with private funding.Our trajectory generation algorithms are based on a combination of nonlinearand optimal control theory, spline theory, and sequential quadraticprogramming. Furthermore, the a ...

Future shipboard operations can beneficially use fuel cells operating on logistic fuels. However, these fuels have a high level of sulfur that needs to be removed before they can be used as a feedstock for fuel cell systems. Altex, a small businessentity, and Pennsylvania State University (PSU), a research organization, have teamed up under this STTR program to develop the innovative Logistic Fu ...

Aluminum Nitride (A1N) substrates are attractive for III-nitride epitaxial growth due to their high thermal conductivity, close lattice and thermal expansion match to IlI-nitride compositions used for opto-electronic and electronic devices and their relative ease of growth when compared to Gallium Nitride (GaN). Vapor sublimation is an attractive method for growing A1N bulk crystals. Seeded growth ...

Decontamination of military personnel, equipment and facilities that have been exposed to deadly biological and / or chemical warfare agents is of critical concern to U.S. Armed Forces. Conventional technologies used for decontamination and sterilization suffer from drawbacks that include toxic effluents, radiation hazards to personnel, and very long time scales for the decontamination process pr ...