Construction of Knowledge-Expandable Ontology-Based Expert System—Cold Forging Process and Tool Design of Flange Nuts as an Example

• Main Authors: Che-WeiChang, 張哲維
• Other Authors: Rong-Shean Lee
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/6nf65a

碩士 === 國立成功大學 === 機械工程學系 === 104 === This study proposes a method of constructing an ontology-based expert system with an expandable knowledge base. The cold forging process and tool design of flange nuts is taken as an example to demonstrate the method. There are two essential parts of this method. In the first part, the software Protégé is used to express experiential knowledge as a Web Ontology Language (OWL) ontology and Semantic Web Rule Language (SWRL) rules. The inference is executed in Java by means of the API provided by Jess, the rule engine for the Java platform. In the second part, new knowledge is acquired from parameter optimization experiments, combing process simulation and Taguchi methods. The new knowledge is represented as an OWL ontology and SWRL rules, expanding the knowledge base of the system. The knowledge base can thus be expanded if there are any modifications or new knowledge in the future. The system is capable of inferring a workable forging process and recommended dimensions of tools after the necessary information, such as the nominal size and specifications of the product, has been input. Users are able to reduce tool design time by taking the results from the system as a decision support.