Award Data

Lidar systems offer considerable promise for the acquisition of a variety of atmospheric variables with very high spatial and temporal resolution from airborne platforms. Ground-based lidar systems have been demonstrated that measure aerosols, water vapor, and ozone, and airborne windsensing lidar have been flown on several military aircraft. The growing number of commercial airliners, however, of ...

A very simple and low-cost optical sensor for measuring vibrations of mechanically supported thin films and other small objects will be developed. Such measurements are useful in characterizing elastic materials properties. The sensor is based upon the so-called self-mixing effect in lasers, which enables the assembly of velocimeters containing nothing more than a diode laser, a lens, and a sign ...

The purpose of this Phase 1 project is to demonstrate the ability to develop a neural network model of the ceramic grinding process with fusion of the sensor/process control parameter data. A model will be developed from existing NIST data using artificial neural systems (ANS) with algorithms that have previously been specifically designed to provide good results for manufacturing applications, fo ...

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