The hybrid method of knowledge representation in a CAPP knowledge based system

Authors:
Cezary Grabowik;Damian Krenczyk;Krzysztof Kalinowski
Affiliations:
The Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, The Silesian University of Technology, Gliwice, Poland;The Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, The Silesian University of Technology, Gliwice, Poland;The Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, The Silesian University of Technology, Gliwice, Poland
Venue:
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Year:
2012

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Abstract

In this paper the hybrid method of manufacturing knowledge representation in the CAPP knowledge based system is presented. In the presented solution the manufacturing knowledge as well as the product design is represented by means of the object method. This paper shows only results obtained at the object design stage (OOD). Currently the scope of decision problems solved by proposed system is limited to axi---symmetric products, but basis on the achievements to date it is thought to develop this system in order to widen the subjected products group. Moreover the detailed description of the inference engine of the CAPP system is given. In the inference engine the two groups of rules were distinguished. In the paper content the examples for each group of rules are shown.