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Proceedings Paper

Heuristic classification for automated CAPP
Author(s): Christoph Klauck; Ralf Legleitner; Ansgar Bernardi
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Paper Abstract

In order to create a process plan from a workpiece description, a human expert thinks in a special terminology with respect to the given workpiece. The steps of human thinking during the generation process of a process plan are following the principles of heuristic classification: First using feature recognition an abstraction process is realized yielding a high level (qualitative) description of the current workpiece in terms of features. To these features certain (more or less) abstract (partial) process plans -- the so-called skeletal plans -- are associated. In the refinement step these skeletal plans are merged together to one complete process plan. In this paper we present a set of domain-oriented higher level representation formalisms for features and skeletal plans suitable for the modeling of this approach. When an expert's (process planner's knowledge has been represented using these formalisms, the generation of a process plan can be achieved by heuristic classification. This is demonstrated in the CAPP- system PIM, which is currently implemented as a prototype.

Paper Details

Date Published: 23 March 1993
PDF: 9 pages
Proc. SPIE 1963, Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry, (23 March 1993); doi: 10.1117/12.141731
Show Author Affiliations
Christoph Klauck, Deutsches Forschungszentrum fuer Kuenstliche Intelligenz GmbH (Germany)
Ralf Legleitner, Deutsches Forschungszentrum fuer Kuenstliche Intelligenz GmbH (Germany)
Ansgar Bernardi, Deutsches Forschungszentrum fuer Kuenstliche Intelligenz GmbH (Germany)


Published in SPIE Proceedings Vol. 1963:
Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry
Usama M. Fayyad; Ramasamy Uthurusamy, Editor(s)

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