An integrated design and optimization environment for industrial large scaled systems |
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Authors: | Alexandra Schönning Jamal Nayfeh Richard Zarda |
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Affiliation: | (1) University of North Florida, 4567 St John’s Bluff Rd. S, Jacksonville, FL 32224-2465, USA;(2) Mechanical Materials and Aerospace Engineering Department, University of Central Florida, 4000 Central Florida Blvd, Orlando, FL 32816, USA;(3) Engineering Methods Group, Lockheed Martin Missile and Fire Control, Orlando, FL 32819, USA |
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Abstract: | The objective of this paper is to demonstrate how a combination of design optimization theory and methodology can be applied
to large-scaled industrial systems to efficiently improve their performance, reduce their costs or improve other design objectives.
The scheme described was developed when other conventional design and optimization strategies failed in efficiently optimizing
an air-to-air missile design for Lockheed Martin Missile and Fire Control. The efficient design scheme was developed for the
system using a combination of optimization and design of experiment techniques. It will be shown that multidisciplinary design
optimization techniques can be improved with a dependency-tracking demand-driven language resulting in an attractive choice
for solving industrial type design problems. The design methodology holds true even for systems in which a large number of
disciplinary design and analysis software are integrated. One reason for the efficiency of the scheme is the parameterized
dependency-tracking environment in which the optimizations are carried out. With the hybrid approach developed, combining
exploration and optimization techniques with the unique dependency-tracking and demand driven features of the environment,
it was possible to reduce the computational time by as much as 44%. The design scheme developed and presented can be used
to improve the design and optimization process for numerous other engineering applications. |
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