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Computer-Aided Materials Selection During Structural Design (1995) / Chapter Skim
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Executive Summary
Pages 1-6

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From page 1...
... Major tools in the integrated environment will provide the following materials-specific capabilities: managing electronic repositories of data and documents, searching past development histories to find similar or analogous products, managing requirements, analyzing performance characteristics, modeling manufacturing and maintenance characteristics, estimating costs, suggesting improvements to the proposed product or process description, and storing the rationale for materials selection decisions for future reference. The alternative selected during concept evaluation would then be available for further refinement by the designer in a coarse-to-fine development process.
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From page 2...
... To overcome these barriers, the committee recommends that (1J standards and guidelines be developedfor electronic data quality, capture, storage, analysis, and exchange Following the Computer-Aided Acquisition and 2 Logistics Support and the Standard for the Exchange of Product approachesJ and knowledgebase content and construction; (2J CAMSS be designed to accept a variety of database taxorlomies through the use of active, "intelligent n data dictionaries that aid the identification and conversion of the contents of different databasesfor use ir' the system; (3} links between materials databases and knowledge bases be improved and comp uter networks f or materia ls-sp ecifi c ink o rma tion communication be created (e.g., an electronic Journal of Materials Selection in Structural Design, a national materials bulletin board on Internet, or a linked network of worldwide materials data systems)
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From page 3...
... materials scientists arid computer engineers from industry arid university collaborate to develop advanced modeling techniques to reduce reliance on straight materials data, introduce expert knowledge, provide a credible basis for tradeoff decisions, arid increase trust in CAMSS; and (2) materials scientists participate in basic and applied research that establishes links between materials models at several scales (e.g., atomic, molecular-c~ystal, cluster-grain size, polycrystal-aggregate, substructure, structure, arid system)
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From page 4...
... expose student teams to basicapproaches to computer-assisted concurrent engineering design systems in order to produce knowledgeable workers with a broad ur~derstanding of the science of processing, (2J train journeymen or master technologists to use this new technology to push acceptance of process modeling techniques to the strop floor, and (3J encourage youngerfaculty members to collaborate with colleagues in other departments (e.g., materials science, the traditional engineering fields, and computer science) on interdisciplinary design projects and computer-assisted concurrent engineering design systems.
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From page 5...
... improving contact between researcher, designer, and supplier on design teams; increasing rate of generation, validation, and exchange of materials data; developing powerful programs for service life prediction of structural components from materials data, constitutive models, and inservice nondestructive testing; 5. developing models of practical significance to product development; s 6.
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Key Terms

  • materials selection
  • modeling techniques
  • structural design
  • design knowledge
  • engineering design

  • concurrent engineering
  • design teams
  • materials data
  • computer scientists
  • materials processing

  • materials societies
  • materials scientists
  • materials property
  • materials knowledge
  • reduce reliance

  • tradeoff decisions
  • industry design
  • qualification programs
  • design parameters
  • electronic technical

  • shorter time
  • selection decisions
  • materials properties
  • future reference
  • design modeling

  • larger design
  • databases requires
  • price data
  • materials bulletin
  • develop advanced


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