Award Data

Research is proposed for the development and implementation of state of the art, reduced order nonlinear aeroelastic models for multidisciplinary/multi-fidelity optimization problems. Highly efficient and accurate aeroelastic simulation tools will be constructed based upon the mathematical formalism of optimal prediction theory and a novel implementation of a filtered harmonic balance solution met ...

The proposed barium strontium titanate (BST) nanodielectric devices will combine some of the best features of bulk and thin-film based tunable dielectrics: low microwave losses, high tunability at high fields, the potential for low operating voltages, and less temperature dependent dielectric response. The miniaturization of devices and reduction of insertion losses requires developments of mater ...

CMU and Magnetics, A Division of Spang and Co. have developed a new high-saturation induction, high-temperature nanocomposite alloy for high-power inductors. This material has FeCo nanocrystals with an A2 or B2 structure embedded in an amorphous matrix. Field annealing resulted in a linear B-H response with a relative permeability of 1400, constant up to fields of 1.2 T. The material was used in ...

Our Phase I program will extend and validate a high-speed engineering transitional model (ETM) using new CUBRC data sets (such as HIFIRE-1) of interest to the Air Force. The ETM is responsive to tunnel noise and wall heating, and predicts the overshoot in heat transfer observed in transitional data. The model solves PDEs for transition onset as well as for an intermittency parameter that blends th ...

Discovery Machine, Inc. is partnered with Pennsylvania State University to produce a best practices capture system that goes beyond the storage and dissemination of lessons learned. The proposed system will leverage warfighters’ specific knowledge as deployable knowledge assets. These knowledge assets will be executable best practices that can be embedded in job aids and training systems. Th ...

FBS, Inc. and The Pennsylvania State University propose the development of a novel ultrasonic structural health monitoring (SHM)/nondestructive testing (NDT) technology. The goal of our work is to bridge the gap from the short time transient ultrasonic guided wave analysis to the long time modal vibration analysis. This new technique will be sensitive to material properties, defect presence, and ...

High temperature deformation and strain are important measures for characterizing behaviors of structural components under high temperature condition. Measuring full-field, high temperature deformation and strain can lead to a better understanding structural and material response, damage initiation, progressive damage, and ultimately limit state attainment in moderately high temperature material s ...

We present an integrated spectrum sensing, control and management framework that exploits multi-layer insights and system design. Through a holistic multi-layer view, the proposed solution provides enhanced cyber superiority and situational awareness. Main contributions in this effort are due to a paradigm shift resulting from relaxation of the assumption of existence of a common control channel a ...

A common method of structural testing or structural health monitoring is to install strain and temperature sensors and wire them to a data collection system.  In some difficult test environments (e.g., jet engine fan and compressor blades, aircraft propellers, helicopter blades, etc.), a fixed wired connection between the sensor and the evaluation unit cannot be established.  Usage of slip-rings ...

The current program aims to develop a Radio Frequency Identification (RFID) sensor system to identify fermentors used for BWAs growth. BWAs may have many very different molecular structures/ mutations, but one antibody is only efficient for one type of BWA. Instead of have one sensor detecting each type of Anthrax, We plan to design molecular taggants such as DNA aptamers and Molecularly Imprinted ...