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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/ICSMA.2008.4505644