A neural network/expert system approach for design improvement of products manufactured by EDM

被引：8

作者：

Katz, Z ^{[1
]}

Naude, J ^{[1
]}

机构：

[1] Rand Afrikaans Univ, ZA-2000 Johannesburg, South Africa

来源：

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME | 1999年 / 121卷 / 04期

关键词：

D O I：

10.1115/1.2833127

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The stochastic nature of the electro discharge machining (EDM) process does not allow for a precise prediction of its effect on the machined features. However, there is a direct interrelation between feature design and the process results. The objective of this work: is to suggest a neural network based system to facilitate and optimize the design process of products to be machined by EDM. A comprehensive analysis by a neural network and expert system is presented. Aspects of features coding and relations with the process parameters are discussed. Experimental results confirm design improvements and a practical system is described.

引用

页码：733 / 738

页数：6