Journal of the Korea Safety Management & Science (대한안전경영과학회지)

Korea Safety Management & Science (대한안전경영과학회)
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Building a Machining Knowledge Base for Intelligent Machine Tools

지능공작기계를 위한 가공 지식의 지식베이스 구성 및 운영

  • Lee, Seung-Woo (Intelligent Machine Systems Research Center KIMM) ;
  • Lee, Hwa-Ki (Department of Industrial Engineering, INHA University)
  • 이승우 (한국기계연구원 지능기계연구센터) ;
  • 이화기 (인하대학교 산업공학과)
  • Published : 2007.10.30
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Abstract

Intelligent machines respond to external environments on the basis of decisions that are made by sensing the changes in the environment and analyzing the obtained information. This study focuses on the construction of a knowledge base which enables decision making with that information. Approximately 70% of all errors that occur in machine tools are caused by thermal error. In order to proactive deal with these errors, a system which measures the temperature of each part and predicts and compensates the displacement of each axis has been developed. The system was built in an open type controller to enable machine tools to measure temperature changes and compensate the displacement. The construction of a machining knowledge base is important for the implementation of intelligent machine tools, and is expected to be applicable to the network based intelligent machine tools which look set to appear sooner or later.

Keywords

References

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