An integrated design and optimization environment for industrial large scaled systems

    Authors

    A. Schonning; J. Nayfeh;R. Zarda

    Comments

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    Abbreviated Journal Title

    Res. Eng. Design

    Keywords

    Engineering, Multidisciplinary; Engineering, Industrial; Engineering, ; Manufacturing

    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.

    Journal Title

    Research in Engineering Design

    Volume

    16

    Issue/Number

    1-2

    Publication Date

    1-1-2005

    Document Type

    Article

    Language

    English

    First Page

    86

    Last Page

    95

    WOS Identifier

    WOS:000232985000007

    ISSN

    0934-9839

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