Integration of computer-aided design and manufacturing through artificial-intelligence-based process planning
The research effort reported in this thesis is directed towards the integration of design, process planning, and manufacturing. The principal notion used in system integration through information integration. The main outcome of this research effort is an artificial-intelligence-based computer-aided generative process planning system, which would use a feature-based symbolic geometry as its input. The feature-based symbolic data structure is used as the common data between design, process planning, and manufacturing. As the commercial computer-aided design systems would not generate a feature-based data base, special interfaces are designed and used. As part of the solution strategy, a module to analyze the symbolic geometry from a global perspective is developed. This module imitates a human process planner and derives some overall assertions. The enhanced geometry data is then used by a rule-based expert system to develop the process plan.
- Research Organization:
- Illinois Univ., Chicago, IL (USA)
- OSTI ID:
- 5145556
- Resource Relation:
- Other Information: Thesis (Ph. D.)
- Country of Publication:
- United States
- Language:
- English
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