A Matching Selection of Cutter Tools Based on Substep Integrated Intelligent Computation
An intelligent computation is proposed for a matching selection of cutter tools in this paper. A matching selection of cutter tools based on an intelligent computation and knowledge reasoning is realized by three steps. At the first, a cutter tool is roughly selected by inference machine of an expert database. Then a matching scheme of cutter tools will be realized by a RBF neural network. Finally, a matching selection scheme of cutter tools is determined by fuzzy inference machine. It is shown that method proposed here is of a higher efficiency for a matching selection of cutter tools in processing and manufacturing of CNC machine.
Selection of cutter tools Expert system RBF neural network Fuzzy inference
Huanglin Zeng Xueyan Zhang
Dept of Electronic Engineering Sichuan University of Science and Engineering 643000,Zi Gong,P.R.China
国际会议
太原
英文
120-123
2011-02-26(万方平台首次上网日期,不代表论文的发表时间)