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Knowledge-based Software Framework for 3D Component Layout

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-04-C-0081
Agency Tracking Number: F045-019-0100
Amount: $99,865.00
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): 2004-09-14
Award End Date (Contract End Date): 2005-06-14
Small Business Information
11180 Reed Hartman Highway
Cincinnati, OH 45242
United States
DUNS: 868140278
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Adel Chemaly
 President
 (513) 985-9877
 adel.chemaly@technosoft.com
Business Contact
 John Marino
Title: Business Manager
Phone: (513) 985-9877
Email: john.marino@technosoft.com
Research Institution
 Georgia Institute of Technology
 Dimitri Mavris
 
School of Aerospace Engng, 270 Ferst Drive
Atlanta, GA 30332
United States

 (404) 894-3000
 Nonprofit College or University
Abstract

Component layout plays an important role in the design of air vehicles, satellites, and many products in the defense industry. Automated synthesis of product layout has the potential of substantially reducing design cycle time while allowing for better design. The search for optimal layout typically requires a huge number of iterations and tight integration between the layout design and the optimization methods. The multi-dimensionality of the problem, time dependent position, and the complexity of the geometry and constraints, require generative modeling and computing methods to allow for the abstraction of the problem and the representation of physical and non physical characteristics of the components. Proposed herein is a generative object-oriented framework, integrating layout modeling and optimization, applicable to wide a spectrum of applications. Detailed studies are fully automated reducing engineering time and cost while expanding the exploration of multidimensional (position, time, velocity, etc.) space and shape configuration. The framework provides multi-objective stochastic optimization capabilities, integrated with distributed computing, and coupling geometrical modeling and reasoning for complex parts connecting shapes parameterization, and layout optimization. During Phase I, a prototype environment employing adapted optimization algorithms, will be developed, deployed, and exercised in the layout design and configuration of a UAV. It will facilitate thorough investigation of alternative vehicle system layout and configurations to provide a population of optimal and effective designs. The team headed by TechnoSoft brings innovation and unparalleled strength to this effort with proven experience in product design and the development of tools and software as deployed in the defense industry.

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

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