Award Data

AKELA is proposing to use a small, low cost, low power radar with operating parameters that can be quickly changed to explore the issues associated with the detection of moving targets from spaceborne platforms.  The radar will be used as a baseline to compare against other implementation alternatives in a simulation to investigate the trade space, and to use the trade-off results to perform a co ...

Complex systems such as the SPS-74(V) Periscope Detection Radar automatic target recognition system present difficult training challenges for enhancing and maintaining operator proficiency. Technical challenges arise from the nature of software automation. The most difficult recognition cases can usually be trained effectively only with actual sensor data. Keeping the proficiency training curren ...

Sea mines are a cost-effective method for hostile forces to attempt to neutralize assets of the U.S. Navy by limiting mobility and creating delay. Mine detection, classification and localization (DCL) is very challenging in littoral environments due to the high clutter, increased background, and dense multipath. 3 Phoenix, Inc. has developed an innovative approach for automatic target detection an ...

Acellent Technologies, Inc. (Acellent) proposes to develop a reliable Cascading Sensor LAyer Network (CSLAN) based on Acellents SMART Layer® technology to detect and continuously monitor corrosion related damages. Multilayered metal structures in aircrafts are sometime subjected to very hostile environmental condition which are prone to develop stress corrosion cracks, pitting corrosion and other ...

Acellent proposes to develop a smart structural health monitoring (SHM) sensor network system that can withstand the aggressive operations environment. It will be capable of autonomously assessing, reliably in real time, the structural integrity of ground vehicle structures and components. A new SMART Layer?hybrid consisting of an improved piezoelectric sensor/actuator configuration (utilizing th ...

Acellent proposes development of structural state sensing systems that function analogously to nervous systems. Different sensor types (including piezoelectric) will be used in a variety of ways to determine system state within the complex structures and advanced materials used in aviation. Multi-Modal Sensing (MMS) states include selectable characteristics, from simple temperature and pressure ...

The purpose of this project is to demonstrate the feasibility of applying an advanced, multifunctional coating system to canopy windows to increase their resistance to electromagnetic interference (EMI) and attack from low-power laser exposure. The coatings can be controlled during the deposition process to produce laser absorption profiles suitable for a wide variety of window requirements. In ad ...

The purpose of this project is to demonstrate the feasibility of using an innovative, nanoparticle inkjet process for directly writing high temperature health monitoring sensors on turbine engine and thermal protection system components without the need for expensive sputtering, CVD, clean room or photolithography equipment. The inkjet process allows sophisticated sensor geometries and material co ...

This purpose of this project is to demonstrate the feasibility of using solid lubricant coatings in high temperature air foil bearings. Both the journal and foil components of the bearing will be coated. The journal will be coated with an innovative graded, nanocomposite structure while the foil will be coated with a proven CuAl alloy.  The nanocomposite journal coating provides (1) lubricating p ...

Predicting the damage to structures commonly found in Urban Environments to the effects of intentional or accidental small explosions is a difficult problem, often resulting in hazards to nearby personnel and equipment. Numerous commercial and military organization desire models that can predict the structural damage and characteristics of the debris generated by the various forces.  In this SBIR ...