Authors:
Ulrich Berger
;
Ralf Kretzschmann
and
Jan Noack
Affiliation:
Brandenburg University of Technology, Germany
Keyword(s):
NC-programming, Graph theory, Process planning, Planning and Scheduling, Knowledge management.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Decision Support Systems
;
Enterprise Information Systems
;
Expert Systems
;
Formal Methods
;
Health Information Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Knowledge-Based Systems Applications
;
Optimization Algorithms
;
Planning and Scheduling
;
Simulation and Modeling
;
Symbolic Systems
Abstract:
Nowadays, significant deficiencies exist in the information flow and access along the NC (Numerical Control) process chain. These deficiencies are solved insufficiently by introducing CAD/CAM systems and feature-oriented specification languages. In contrast the application of new production and new machining systems requires an intensive information exchange. The introduced approach enables the preparation for feature-based work plans with methods known from the graph theory as a knowledge-based NC programming system. Therefore the work plan will be mapped into a directed graph in a mathematically defined way. Based on that, it is possible to use algorithms to find the shortest path and a Hamiltonian path inside this directed graph under given requirements. Thus, the work plan will be structured and re-ordered. Finally the corresponding NC paths will be generated and distributed to the machinery. Thence in this in-process paper the requirements, the investigation and the selection of
suitable knowledge structuring concepts, mathematically basics and the work flow in such a system will be pointed out. Finally a preliminary prototype will be introduced.
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