Weapon Flight Mechanics

Period of Performance: 12/03/1999 - 12/03/2001

$575K

Phase 2 STTR

Recipient Firm

Accurate Automation Corp.
7001 Shallowford Road
Chattanooga, TN 37421
Principal Investigator
Firm POC

Research Institution

University of Maryland
3112 Lee Building
College Park, MD 20742
Institution POC

Abstract

Accurate Automation Corporation (AAC), teamed with the NASA-sponsored Center of Excellence for Hypersonics Research at the University of Maryland, has developed initial versions a neural network based hypersonic prediction tool in support of the development of a hypersonic weapons systems. This tool has the potential to predict the high supersonic, and hypersonic aerodynamic characteristics of a proposed weapons system design from its low supersonic characteristics, greatly reducing the cost and complexity of the design and development process. In addition, we plan to use the tool to evaluate the performance a micro-electromechanical system (MEMS) for actively controlling the boundary layer of a hypersonic weapon. Initial implementations of the neural network based tool have already been developed and tested during the Phase I effort. During Phase II, hypersonic prediction capabilities will be extended to real systems by using actual wind tunnel data in the neural network training process. Also, in Phase II, the design of the MEMS test article (initial design in Phase I) will be finalized, and the test article will be fabricated and tested.