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A knowledge-based user interface for the interactive design of three-dimensional objects

Published online by Cambridge University Press:  27 February 2009

King Chan  and
David A. Hoeltzel
King Chan
Affiliation:
Intelligent Design Laboratory, Department of Mechanical Engineering, Columbia University, New York, New York 10027, U.S.A.
David A. Hoeltzel
Affiliation:
Intelligent Design Laboratory, Department of Mechanical Engineering, Columbia University, New York, New York 10027, U.S.A.
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Abstract

A critical problem with existing computer-based geometric modeling is the labor intensive task involved in specifying data input for the description of three-dimensional (3-D) objects. This paper describes a new, 3-D input system aimed at alleviating this problem. It is based on the use of a three-dimensional digitizer for the direct input of spatial coordinates, and an intelligent interactive user interface. The intent of this system is to create a high level, intelligent interface between the designer and a geometric solid modeler which would lighten the designer's burden in performing arduous 3-D geometric description tasks. The user interface is developed around the Knowledge Craft expert system building tool, using the rule-based Carnegie Representation Language OPS5 (CRL-OPS). The system uses schematic networks or frames and production rules to encode knowledge about geometric primitive digitization methods, object feature operators, solid modeler requirements, and input command functions. It also employs a forward-chaining inference strategy to direct the knowledge. This ensures that only a minimal amount of valid data entry is required by the user. However, if excessive data is entered the intelligent interface has the capability to extract the required information. As a result, the solid modeler can automatically create the appropriate object “primitive” or the specific object “feature” upon recognition by the expert system. It will be demonstrated that these capabilities can simplify the 3-D model description process.

Type
Research Article
Information
AI EDAM , Volume 2 , Issue 1 , February 1988 , pp. 1 - 16
Copyright
Copyright © Cambridge University Press 1988

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