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A Decomposition Based Approach to Optimal Layout of Complex Systems such as UAV's and Satellites

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-04-C-0115
Agency Tracking Number: F045-019-0006
Amount: $100,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF04-T019
Solicitation Number: N/A
Timeline
Solicitation Year: 2004
Award Year: 2004
Award Start Date (Proposal Award Date): 2004-08-31
Award End Date (Contract End Date): 2005-03-01
Small Business Information
16 Forest Glen Drive
Pittsburgh, PA 15228
United States
DUNS: 145858614
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jay McCormack
 Lead Scientist
 (412) 445-1822
 jay@desantage.com
Business Contact
 Randy Eager
Title: President & CEO
Phone: (412) 726-5444
Email: randy@desantage.com
Research Institution
 Carnegie Mellon University
 Jonathan Cagan
 
5000 Forbes Avenue
Pittsburgh, PA 15213
United States

 (412) 268-3713
 Nonprofit College or University
Abstract

This STTR proposes to solve the problem of automated component placement (also known as intelligent packaging) for UAV's and other products by building on our unique state-of-the-art, patented technology platform. The goal of this work is to enable the automated layout of an entire complex product, such as a UAV, featuring a multitude of systems and subsystems with 3D components. This will be accomplished by developing a method for computationally decomposing a system into subsystems, solving the subsystem layout problem in sub-defined spaces with our "Extended Pattern Search" (EPS) technology, and re-integrating the subsystems together. In developing the necessary methods this project will create a tool for use on UAV's, satellites, missiles, and other military and non-military products such as printed circuit boards (PCB) and automobiles. This technology is critical for the successful evolution of UAV's for two reasons: first, time to market affects both cost and deployment of new UAV's to meet Air Force needs, and second, faster design time allows for more extensive analysis and verification of performance and quality, improving the effectiveness of the UAV program.

* Information listed above is at the time of submission. *

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