DocumentCode :
3337793
Title :
Knowledge-Evolution based Intelligent Machine Tools based on M2M
Author :
Kim, Dong Hoon ; Song, Jun-Yeob ; Cha, Suk-Keun
Author_Institution :
Intell. Manuf. Syst. Res. Div., Korea Inst. of Machinery & Mater., Daejeon
fYear :
2008
fDate :
9-11 April 2008
Firstpage :
214
Lastpage :
218
Abstract :
In the near future, machine tools will be more improved in the form of a knowledge-evolution based intelligent device. The final goal of this study is to develop an intelligent machine tools having knowledge-evolution capability in machine to machine (M2M) wired & wireless environment. The knowledge-evolution based intelligent machine tools is expected to gather knowledge autonomously by producing knowledge, understanding knowledge, reasoning knowledge, making a new decision, dialoguing with other machines, etc. The concept of the knowledge-evolution intelligent machine is originated from the machine control being operated by sense, dialogue and decision of human-expert. With intent to develop the knowledge-evolution based machine tools, the structure of knowledge-evolution in M2M and the scheme for a dialogue agent among agent-based modules such as a sensory agent, a dialogue agent and an expert system (decision support agent) are presented in this paper. And work-offset compensation from thermal change and recommendation of cutting condition are on-line performed for knowledge-evolution verification.
Keywords :
cutting; decision support systems; expert systems; interactive systems; machine control; machine tools; cutting condition; decision support agent; dialogue agent; expert system; intelligent machine tools; knowledge-evolution based intelligent device; machine control; sensory agent; Computer aided manufacturing; Expert systems; Humans; Intelligent agent; Intelligent manufacturing systems; Intelligent sensors; Machine intelligence; Machine tools; Machinery; Research and development; Selected keywords relevant to the subject;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Manufacturing Application, 2008. ICSMA 2008. International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-89-950038-8-6
Electronic_ISBN :
978-89-962150-0-4
Type :
conf
DOI :
10.1109/ICSMA.2008.4505644
Filename :
4505644
Link To Document :
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