Design Knowledge Management System (DKMS) Beta Test Report

Abstract

The Beta Test Report, prepared under a Phase II Small Business Innovation Research (SBIR) effort, documents potential use of the Design Knowledge Management System (DKMS) in research and industry. Industry concerns, gathered from surveys, are addressed in each subsection. The appendix gives an in-depth overview of the entire DKMS. The DKMS consists of: Container Object System: a flexible means of storing computer objects and constraints, so that a design can easily evolve as information changes. Model Design Support Environment: a method for automatic solution and code generation based on the problem, the 'givens', and the real-world equations that rule the environment. High-Productivity CAD: a toolbox for CAD designers. Shape-based Design Knowledge Representation and Reasoning: component which allows shape information as a key factor in the design. (For example: 'Does the shape of this part create unacceptable stress points?') Integration Platform: component which helps user select and translate services.... CAD Systems design, Design evolution, Artificial intelligence, Computer-aided design, SBIR Program, Automatic code, Concurrent engineering, Shape-based reasoning, Generation, Design.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1992
Accession Number
ADA261453

Entities

People

  • Arthur A. Keen
  • David C. Browne
  • Jeffery C. Lockledge
  • Les Sanders
  • Matthew A. Grisius
  • Richard J. Mayer
  • Thomas M. Blinn

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Beta Testing
  • Cognition
  • Commerce
  • Computer Access Control
  • Computer Programming
  • Computer-Aided Design
  • Computers
  • Engineering
  • Equations
  • Knowledge Management
  • Lisp Programming Language
  • Manufacturing
  • Operating Systems
  • Organizational Structure
  • Physical Properties
  • Reasoning
  • Small Business

Fields of Study

  • Computer science
  • Engineering

Readers

  • Software Engineering.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy