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Computer-Aided Materials Selection During Structural Design (1995) / Chapter Skim
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Appendix E: An Intelligent Knowledge System for Selection of Materials for Critical Aerospace Applications
Pages 63-68

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From page 63...
... TECHNOLOGIES INCLUDED IN TElE SYSTEM Conceptual Model of an ~telligent-Knowledg - System One generalized model of an IKSMAT applicable to the material selection problem defined above is illustrated in Figure E-1 (Kaufman, 1988~. In this model, the knowledge base is the catalog of design and performance cateria for specific structures and the relative importance of the individual criteria in the performance of those stmctures, which interfaces with the material properties database covering the range of materials and properties of interest.
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From page 64...
... Two user files are kept: the personal database contains userspeci~c information and while the update database contains data agreed on by the entire user group as ~prestandard. ~ As noted above, the permanent databases containing evaluated data, such as those based on MIL-HDBK-5, and the principal search software would reside at a remote I User interface Wingspar Knowiedae Base | Knowledge Base 63 Controller | ~MPD Network |Other cornponentL/ l I Knowledge r | Search Query /, I Generator I l Local IKSMAT 1 | MIL-HDBK-5 | | OtherlKsMAT | Personalized Coordinated User Databases Database(s)
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From page 65...
... The system must be flexible and dynamic in the sense that new material options may be incorporated at any time and the rules may be altered as necessary to reflect changing vehicular or structural performance requirements. To be more specific, user approaches to IKSMAT must be of several general types of varying sophistication, including but not necessarily limited to the following: user works within existing database and predefined material selection/design criteria and logic to identify optimum candidate materials for specific application; user adds new materials to database and then performs analyses based on preset material selection/design criteria and logic to select optimum candidate materials; user adds new properties for materials in the knowledge base and then performs analyses based on existing or new criteria involving those new properties to identify candidate materials; user redefines priorities associated with existing properties and criteria for material selection and performs new analyses to determine the effect of the changes on the preferred candidate materials; · user inputs new criteria (specific properties or design-related parameters)
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From page 66...
... . STATUS OF DEVELOPMENT AND BARRIERS TO IMPLEMENTATION Stowage Base/Database Content Development The content of the knowledge base was established based on the information obtained from synthesis of the guidelines provided by several aerospace designers and finalized in discussions with General Dynamics, Fort Worth.
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From page 67...
... Intelligent Knowledge System for Selection of Material* for Critical Aerospace Applications · placement of much more emphasis by government and industry in building reliable, statistically m~qrungful material property databases that may serve as the foundation of intelligent m~teri als selection and design software; · maintenance of master versions of materials databases in ~chine-r~aclable form, readily 67 updatable and readily duplicated and distributed for broad use; and · utilization of flexible software systems capable of rapid manipulation and varied presentation (e.g., graphical analysis and presentation of complex numeric data complemented with engineeringoriented, intuitive menu~riven interfaces)
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Key Terms

  • yield strength
  • property data
  • materials property
  • information network
  • user interface

  • national materials
  • master database
  • data network
  • fracture toughness
  • material selection

  • optimum candidate
  • analyses based
  • strain fracture
  • evaluated data
  • permanent databases

  • intelligent knowledge
  • tensile yield
  • database contains
  • performs analyses
  • stress intensity

  • plane strain
  • materials specialists
  • materials selection
  • specific components
  • database management

  • prototype iksmat
  • user adds
  • statistically meaningful
  • critical crack
  • crack size


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