Using Ontology and Rule-Based Reasoning for Supporting Automatic Process Plan for Milling Prismatic Parts

Abstract

Nowadays, the manufacturing enterprises are in a highly dynamic environment because of the continuous changes of market. Therefore, the integration of product’s data and manufacturing data are paid much attention of researchers due to its role in improving the reliability and flexibility of manufacturing process. In this paper, we present a new approach of using ontology and rule-based reasoning to support this integration. Contributions of this research consist of establishing an architecture of semantic CAPP system (s-CAPP), using OWL (Web Ontology Language) and SWRL (Semantic Web Rule Language) to describe the information of machining parts and manufacturing equipments, presenting the definition of feasible process plan through rule-based reasoning with SWRL and JESS, and giving a case study on s-CAPP system.