This paper presents an intelligent process planning system for generating machining instructions for prismatic parts. The generated instruction includes machine tool information, machining sequence, tool and setup information, machining parameters, and tool path. In the proposed system, part information is received as a STEP AP224 feature model. One novel aspect of the proposed system is implementation of a formal OWL ontology for representation of machine tool and cutting tool capability knowledge as well as part information. OWL-based ontology enables automated ontological reasoning during process planning. Also, SWRL rule modeling approach is adopted for identifying feasible machine tools and cutting tools and also specifying process parameters. A proof-of-concept implementation is presented as well in this paper.

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