FRAMEWORK OF AN INTELLIGENT GRINDING PROCESS ADVISER

被引：11
|
作者：
SHIN, YC
CHEN, YT
KUMARA, S
机构：
[1] PURDUE UNIV,DEPT MECH ENGN,W LAFAYETTE,IN 47907
[2] PENN STATE UNIV,UNIV PK,PA 16802
来源：
JOURNAL OF INTELLIGENT MANUFACTURING | 1992年 / 3卷 / 03期
关键词：
ADVISORY SYSTEM; GRINDING PROCESS; FUZZY LOGIC;
D O I：
10.1007/BF01477597
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes the fundamental framework of an intelligent grinding process advisory system, which has been developed to help process engineers design new grinding processes. The system incorporates both highly complex, nonlinear analytical grinding process models and knowledge-based linguistic rules, and generates unified fuzzy rules by a novel automatic rule generation procedure. Optimal design of the parameters is performed via fuzzy logic inference. Several design principles for constructing the system are discussed as well as the over-all architecture of the system. The implementation of the system shows that the system can lead to the optimal design of a grinding process very effectively even with a large number of process parameters.
引用
收藏
页码：135 / 148
页数：14
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